New test that detects 14 cancers focuses on sugars, not DNA

Article Type
Changed

Much attention has been given recently to the idea of detecting many different types of cancer from a single blood test, and a new test claiming to do that has just been reported.

The leader in this field is the Galleri test (from GRAIL) which is already in clinical use in some health care networks across the United States. That test uses next-generation sequencing to analyze the arrangement of methyl groups on circulating tumor (or cell-free) DNA (cfDNA) in a blood sample.

The new test, under development by Swedish biotechnology company Elypta AB, has a different premise. It can detect 14 cancer types based on the analysis of glycosaminoglycans, which are a diverse group of polysaccharides that are altered by the presence of tumors. Using plasma and urine samples, the method had a 41.6%-62.3% sensitivity for detecting stage I cancer at 95% specificity.

In comparison, say the authors, other assays have reported 39%-73% sensitivity to stage I cancers, but these estimates are usually limited to 12 cancer types that are considered “high-signal,” and the assays perform poorly in cancers that emit little cfDNA, such as genitourinary and brain malignancies.

“The main advantage of glycosaminoglycans appears to be that they change in the blood and urine at the earliest stages of cancer,” said study author Francesco Gatto, PhD, founder and chief scientific officer at Elypta. “Consequently, this method showed an impressive detection rate in stage I compared to other emerging methods.”

The study was published online in Proceedings of the National Academy of Sciences.


 

Combine tests?

Dr. Gatto commented that he “could envision that one day we may be able to combine these methods.”

“The same blood specimen could be used to test both glycosaminoglycans and genomic biomarkers,” said Dr. Gatto. “This strategy could hopefully detect even more cancers than with either method alone, and the resulting performance may well be sufficient as a one-stop-shop screening program.”

So how does the new test from Elypta compare with the Galleri test?

“Galleri and similar methods mostly focused on information coming from molecules of DNA naturally floating in the blood,” explained Dr. Gatto. “It makes sense to conduct research there because cancers typically start with events in the DNA.”

He noted that the current study explored a new layer of information, molecules called glycosaminoglycans, that participate in the metabolism of cancer.

“This method detected many cancers that the previous methods missed, and a substantial proportion of these were at stage I,” said Dr. Gatto. “Cancer is a complex disease, so the most layers of information we can probe noninvasively, say with a blood test, the more likely we can catch more cancers at its earliest stage.”

Other platforms typically rely on sequencing and detecting cancer-derived fractions of cfDNA, but these methods have challenges that can interfere with their usage. For example, some cancer types do not shed sufficient cfDNA and it cannot be accurately measured.

“An advantage on focusing on glycosaminoglycans is that the method does not require next-generation sequencing or similarly complex assays because glycosaminoglycans are informative with less than 10 simultaneous measurements as opposed to Galleri that looks at over 1 million DNA methylation sites,” he said.

“This makes the assay behind the test much cheaper and robust – we estimated a 5-10 times lower cost difference,” Dr. Gatto said.
 

 

 

Prospective and comparative data needed

In a comment, Eric Klein, MD, emeritus chair of the Glickman Urological and Kidney Institute at the Cleveland Clinic explained that the “only accurate way to know how a test will perform in an intended-use population is to actually test it in that population. It’s not possible to extrapolate results directly from a case-control study.”

Cancers shed many different biologic markers into body fluids, but which of these signals will be best to serve as the basis of an MCED (multi-cancer detection test) that has clinical utility in a screening population has yet to be determined, he noted. “And it’s possible that no single test will be optimum for every clinical situation.”

“The results of this study appear promising, but it is not possible to claim superiority of one test over another based on individual case-control studies because of uncontrolled differences in the selected populations,” Dr. Klein continued. “The only scientifically accurate way to do this is to perform different tests on the same patient samples in a head-to-head comparison.”

There is only one study that he is aware of that has done this recently, in which multiple different assays looking at various signals in cell-free DNA were directly compared on the same samples (Cancer cell. 2022;40:1537-49.e12). “A targeted methylation assay that is the basis for Galleri was best for the lowest limit of detection and for predicting cancer site of origin,” said Dr. Klein.

Another expert agreed that a direct head-to-head study is needed to compare assays. “Based on this data, you cannot say that this method is better than the other one because that requires a comparative study,” said Fred Hirsch, MD, PhD, executive director of the Center for Thoracic Oncology, Tisch Cancer Institute at Mount Sinai, New York.

Metabolomics is interesting, and the data are encouraging, he continued. “But this is a multicancer early detection test and metabolism changes may vary from cancer type to cancer type. I’m not sure that the metabolism of lung cancer is the same as that of a gynecologic cancer.”

Dr. Hirsch also pointed out that there could also be confounding factors. “They have excluded inflammatory disease, but there can be other variables such as smoking,” he said. “Overall it gives some interesting perspectives but I would like to see more prospective validation and studies in specific disease groups, and eventually comparative studies with other methodologies.”
 

Study details

The authors evaluated if plasma and urine free GAGomes (free glycosaminoglycan profiles) deviated from baseline physiological levels in 14 cancer types and could serve as metabolic cancer biomarkers. They also then validated using free GAGomes for MCED in an external population with 2,064 samples obtained from 1,260 patients with cancer and healthy individuals.

In an in vivo cancer progression model, they observed widespread cancer-specific changes in biofluidic free GAGomes and then developed three machine-learning models based on urine (nurine = 220 cancer vs. 360 healthy) and plasma (nplasma = 517 cancer vs. 425 healthy) free GAGomes that were able to detect any cancer with an area under the receiver operating characteristic curve of 0.83-0.93 (with up to 62% sensitivity to stage I disease at 95% specificity).

To assess if altered GAGome features associated with cancer suggested more aggressive tumor biology, they correlated each score with overall survival. The median follow-up time was 17 months in the plasma cohort (n = 370 across 13 cancer types), 15 months in the urine cohort (n = 162 across 4 cancer types), and 15 months in the combined cohort (n = 152 across 4 cancer types).

They found that all three scores independently predicted overall survival in a multivariable analysis (hazard ratio, 1.29; P = .0009 for plasma; HR, 1.79; P = .0009 for urine; HR, 1.91; P = .0004 for combined) after adjusting for cancer type, age, sex, and stage IV or high-grade disease.

These findings showed an association of free GAGome alterations with aggressive cancer phenotypes and suggested that scores below the 95% specificity cutoff might have a better prognosis, the authors comment.

In addition, other analyses showed that free GAGomes predicted the putative cancer location with 89% accuracy. And finally, to confirm whether the free GAGome MCED scores could be used for screening, a validation analysis was conducted using a typical “screening population,” which requires at least 99% specificity. The combined free GAGomes were able to predict a poor prognosis of any cancer type within 18 months and with 43% sensitivity (21% in stage I; n = 121 and 49 cases).

Dr. Gatto believes that these results, as well as those from other studies looking at glycosaminoglycans as cancer biomarkers, will lead to the next steps of development. “But I speculate that this test could be most useful to assess in a cheap, practical, and noninvasive manner if a person at increased risk of cancer should be selected for cancer screening as part of established or emerging screening programs.”

The study was sponsored by Elypta. Dr. Gatto is listed as an inventor in patent applications related to the biomarkers described in this study and later assigned to Elypta, and is a shareholder and employed at Elypta. Dr. Hirsch reports no relevant financial relationships. Dr. Klein is a consultant for GRAIL and an investigator for CCGA and Pathfinder.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

Much attention has been given recently to the idea of detecting many different types of cancer from a single blood test, and a new test claiming to do that has just been reported.

The leader in this field is the Galleri test (from GRAIL) which is already in clinical use in some health care networks across the United States. That test uses next-generation sequencing to analyze the arrangement of methyl groups on circulating tumor (or cell-free) DNA (cfDNA) in a blood sample.

The new test, under development by Swedish biotechnology company Elypta AB, has a different premise. It can detect 14 cancer types based on the analysis of glycosaminoglycans, which are a diverse group of polysaccharides that are altered by the presence of tumors. Using plasma and urine samples, the method had a 41.6%-62.3% sensitivity for detecting stage I cancer at 95% specificity.

In comparison, say the authors, other assays have reported 39%-73% sensitivity to stage I cancers, but these estimates are usually limited to 12 cancer types that are considered “high-signal,” and the assays perform poorly in cancers that emit little cfDNA, such as genitourinary and brain malignancies.

“The main advantage of glycosaminoglycans appears to be that they change in the blood and urine at the earliest stages of cancer,” said study author Francesco Gatto, PhD, founder and chief scientific officer at Elypta. “Consequently, this method showed an impressive detection rate in stage I compared to other emerging methods.”

The study was published online in Proceedings of the National Academy of Sciences.


 

Combine tests?

Dr. Gatto commented that he “could envision that one day we may be able to combine these methods.”

“The same blood specimen could be used to test both glycosaminoglycans and genomic biomarkers,” said Dr. Gatto. “This strategy could hopefully detect even more cancers than with either method alone, and the resulting performance may well be sufficient as a one-stop-shop screening program.”

So how does the new test from Elypta compare with the Galleri test?

“Galleri and similar methods mostly focused on information coming from molecules of DNA naturally floating in the blood,” explained Dr. Gatto. “It makes sense to conduct research there because cancers typically start with events in the DNA.”

He noted that the current study explored a new layer of information, molecules called glycosaminoglycans, that participate in the metabolism of cancer.

“This method detected many cancers that the previous methods missed, and a substantial proportion of these were at stage I,” said Dr. Gatto. “Cancer is a complex disease, so the most layers of information we can probe noninvasively, say with a blood test, the more likely we can catch more cancers at its earliest stage.”

Other platforms typically rely on sequencing and detecting cancer-derived fractions of cfDNA, but these methods have challenges that can interfere with their usage. For example, some cancer types do not shed sufficient cfDNA and it cannot be accurately measured.

“An advantage on focusing on glycosaminoglycans is that the method does not require next-generation sequencing or similarly complex assays because glycosaminoglycans are informative with less than 10 simultaneous measurements as opposed to Galleri that looks at over 1 million DNA methylation sites,” he said.

“This makes the assay behind the test much cheaper and robust – we estimated a 5-10 times lower cost difference,” Dr. Gatto said.
 

 

 

Prospective and comparative data needed

In a comment, Eric Klein, MD, emeritus chair of the Glickman Urological and Kidney Institute at the Cleveland Clinic explained that the “only accurate way to know how a test will perform in an intended-use population is to actually test it in that population. It’s not possible to extrapolate results directly from a case-control study.”

Cancers shed many different biologic markers into body fluids, but which of these signals will be best to serve as the basis of an MCED (multi-cancer detection test) that has clinical utility in a screening population has yet to be determined, he noted. “And it’s possible that no single test will be optimum for every clinical situation.”

“The results of this study appear promising, but it is not possible to claim superiority of one test over another based on individual case-control studies because of uncontrolled differences in the selected populations,” Dr. Klein continued. “The only scientifically accurate way to do this is to perform different tests on the same patient samples in a head-to-head comparison.”

There is only one study that he is aware of that has done this recently, in which multiple different assays looking at various signals in cell-free DNA were directly compared on the same samples (Cancer cell. 2022;40:1537-49.e12). “A targeted methylation assay that is the basis for Galleri was best for the lowest limit of detection and for predicting cancer site of origin,” said Dr. Klein.

Another expert agreed that a direct head-to-head study is needed to compare assays. “Based on this data, you cannot say that this method is better than the other one because that requires a comparative study,” said Fred Hirsch, MD, PhD, executive director of the Center for Thoracic Oncology, Tisch Cancer Institute at Mount Sinai, New York.

Metabolomics is interesting, and the data are encouraging, he continued. “But this is a multicancer early detection test and metabolism changes may vary from cancer type to cancer type. I’m not sure that the metabolism of lung cancer is the same as that of a gynecologic cancer.”

Dr. Hirsch also pointed out that there could also be confounding factors. “They have excluded inflammatory disease, but there can be other variables such as smoking,” he said. “Overall it gives some interesting perspectives but I would like to see more prospective validation and studies in specific disease groups, and eventually comparative studies with other methodologies.”
 

Study details

The authors evaluated if plasma and urine free GAGomes (free glycosaminoglycan profiles) deviated from baseline physiological levels in 14 cancer types and could serve as metabolic cancer biomarkers. They also then validated using free GAGomes for MCED in an external population with 2,064 samples obtained from 1,260 patients with cancer and healthy individuals.

In an in vivo cancer progression model, they observed widespread cancer-specific changes in biofluidic free GAGomes and then developed three machine-learning models based on urine (nurine = 220 cancer vs. 360 healthy) and plasma (nplasma = 517 cancer vs. 425 healthy) free GAGomes that were able to detect any cancer with an area under the receiver operating characteristic curve of 0.83-0.93 (with up to 62% sensitivity to stage I disease at 95% specificity).

To assess if altered GAGome features associated with cancer suggested more aggressive tumor biology, they correlated each score with overall survival. The median follow-up time was 17 months in the plasma cohort (n = 370 across 13 cancer types), 15 months in the urine cohort (n = 162 across 4 cancer types), and 15 months in the combined cohort (n = 152 across 4 cancer types).

They found that all three scores independently predicted overall survival in a multivariable analysis (hazard ratio, 1.29; P = .0009 for plasma; HR, 1.79; P = .0009 for urine; HR, 1.91; P = .0004 for combined) after adjusting for cancer type, age, sex, and stage IV or high-grade disease.

These findings showed an association of free GAGome alterations with aggressive cancer phenotypes and suggested that scores below the 95% specificity cutoff might have a better prognosis, the authors comment.

In addition, other analyses showed that free GAGomes predicted the putative cancer location with 89% accuracy. And finally, to confirm whether the free GAGome MCED scores could be used for screening, a validation analysis was conducted using a typical “screening population,” which requires at least 99% specificity. The combined free GAGomes were able to predict a poor prognosis of any cancer type within 18 months and with 43% sensitivity (21% in stage I; n = 121 and 49 cases).

Dr. Gatto believes that these results, as well as those from other studies looking at glycosaminoglycans as cancer biomarkers, will lead to the next steps of development. “But I speculate that this test could be most useful to assess in a cheap, practical, and noninvasive manner if a person at increased risk of cancer should be selected for cancer screening as part of established or emerging screening programs.”

The study was sponsored by Elypta. Dr. Gatto is listed as an inventor in patent applications related to the biomarkers described in this study and later assigned to Elypta, and is a shareholder and employed at Elypta. Dr. Hirsch reports no relevant financial relationships. Dr. Klein is a consultant for GRAIL and an investigator for CCGA and Pathfinder.

A version of this article first appeared on Medscape.com.

Much attention has been given recently to the idea of detecting many different types of cancer from a single blood test, and a new test claiming to do that has just been reported.

The leader in this field is the Galleri test (from GRAIL) which is already in clinical use in some health care networks across the United States. That test uses next-generation sequencing to analyze the arrangement of methyl groups on circulating tumor (or cell-free) DNA (cfDNA) in a blood sample.

The new test, under development by Swedish biotechnology company Elypta AB, has a different premise. It can detect 14 cancer types based on the analysis of glycosaminoglycans, which are a diverse group of polysaccharides that are altered by the presence of tumors. Using plasma and urine samples, the method had a 41.6%-62.3% sensitivity for detecting stage I cancer at 95% specificity.

In comparison, say the authors, other assays have reported 39%-73% sensitivity to stage I cancers, but these estimates are usually limited to 12 cancer types that are considered “high-signal,” and the assays perform poorly in cancers that emit little cfDNA, such as genitourinary and brain malignancies.

“The main advantage of glycosaminoglycans appears to be that they change in the blood and urine at the earliest stages of cancer,” said study author Francesco Gatto, PhD, founder and chief scientific officer at Elypta. “Consequently, this method showed an impressive detection rate in stage I compared to other emerging methods.”

The study was published online in Proceedings of the National Academy of Sciences.


 

Combine tests?

Dr. Gatto commented that he “could envision that one day we may be able to combine these methods.”

“The same blood specimen could be used to test both glycosaminoglycans and genomic biomarkers,” said Dr. Gatto. “This strategy could hopefully detect even more cancers than with either method alone, and the resulting performance may well be sufficient as a one-stop-shop screening program.”

So how does the new test from Elypta compare with the Galleri test?

“Galleri and similar methods mostly focused on information coming from molecules of DNA naturally floating in the blood,” explained Dr. Gatto. “It makes sense to conduct research there because cancers typically start with events in the DNA.”

He noted that the current study explored a new layer of information, molecules called glycosaminoglycans, that participate in the metabolism of cancer.

“This method detected many cancers that the previous methods missed, and a substantial proportion of these were at stage I,” said Dr. Gatto. “Cancer is a complex disease, so the most layers of information we can probe noninvasively, say with a blood test, the more likely we can catch more cancers at its earliest stage.”

Other platforms typically rely on sequencing and detecting cancer-derived fractions of cfDNA, but these methods have challenges that can interfere with their usage. For example, some cancer types do not shed sufficient cfDNA and it cannot be accurately measured.

“An advantage on focusing on glycosaminoglycans is that the method does not require next-generation sequencing or similarly complex assays because glycosaminoglycans are informative with less than 10 simultaneous measurements as opposed to Galleri that looks at over 1 million DNA methylation sites,” he said.

“This makes the assay behind the test much cheaper and robust – we estimated a 5-10 times lower cost difference,” Dr. Gatto said.
 

 

 

Prospective and comparative data needed

In a comment, Eric Klein, MD, emeritus chair of the Glickman Urological and Kidney Institute at the Cleveland Clinic explained that the “only accurate way to know how a test will perform in an intended-use population is to actually test it in that population. It’s not possible to extrapolate results directly from a case-control study.”

Cancers shed many different biologic markers into body fluids, but which of these signals will be best to serve as the basis of an MCED (multi-cancer detection test) that has clinical utility in a screening population has yet to be determined, he noted. “And it’s possible that no single test will be optimum for every clinical situation.”

“The results of this study appear promising, but it is not possible to claim superiority of one test over another based on individual case-control studies because of uncontrolled differences in the selected populations,” Dr. Klein continued. “The only scientifically accurate way to do this is to perform different tests on the same patient samples in a head-to-head comparison.”

There is only one study that he is aware of that has done this recently, in which multiple different assays looking at various signals in cell-free DNA were directly compared on the same samples (Cancer cell. 2022;40:1537-49.e12). “A targeted methylation assay that is the basis for Galleri was best for the lowest limit of detection and for predicting cancer site of origin,” said Dr. Klein.

Another expert agreed that a direct head-to-head study is needed to compare assays. “Based on this data, you cannot say that this method is better than the other one because that requires a comparative study,” said Fred Hirsch, MD, PhD, executive director of the Center for Thoracic Oncology, Tisch Cancer Institute at Mount Sinai, New York.

Metabolomics is interesting, and the data are encouraging, he continued. “But this is a multicancer early detection test and metabolism changes may vary from cancer type to cancer type. I’m not sure that the metabolism of lung cancer is the same as that of a gynecologic cancer.”

Dr. Hirsch also pointed out that there could also be confounding factors. “They have excluded inflammatory disease, but there can be other variables such as smoking,” he said. “Overall it gives some interesting perspectives but I would like to see more prospective validation and studies in specific disease groups, and eventually comparative studies with other methodologies.”
 

Study details

The authors evaluated if plasma and urine free GAGomes (free glycosaminoglycan profiles) deviated from baseline physiological levels in 14 cancer types and could serve as metabolic cancer biomarkers. They also then validated using free GAGomes for MCED in an external population with 2,064 samples obtained from 1,260 patients with cancer and healthy individuals.

In an in vivo cancer progression model, they observed widespread cancer-specific changes in biofluidic free GAGomes and then developed three machine-learning models based on urine (nurine = 220 cancer vs. 360 healthy) and plasma (nplasma = 517 cancer vs. 425 healthy) free GAGomes that were able to detect any cancer with an area under the receiver operating characteristic curve of 0.83-0.93 (with up to 62% sensitivity to stage I disease at 95% specificity).

To assess if altered GAGome features associated with cancer suggested more aggressive tumor biology, they correlated each score with overall survival. The median follow-up time was 17 months in the plasma cohort (n = 370 across 13 cancer types), 15 months in the urine cohort (n = 162 across 4 cancer types), and 15 months in the combined cohort (n = 152 across 4 cancer types).

They found that all three scores independently predicted overall survival in a multivariable analysis (hazard ratio, 1.29; P = .0009 for plasma; HR, 1.79; P = .0009 for urine; HR, 1.91; P = .0004 for combined) after adjusting for cancer type, age, sex, and stage IV or high-grade disease.

These findings showed an association of free GAGome alterations with aggressive cancer phenotypes and suggested that scores below the 95% specificity cutoff might have a better prognosis, the authors comment.

In addition, other analyses showed that free GAGomes predicted the putative cancer location with 89% accuracy. And finally, to confirm whether the free GAGome MCED scores could be used for screening, a validation analysis was conducted using a typical “screening population,” which requires at least 99% specificity. The combined free GAGomes were able to predict a poor prognosis of any cancer type within 18 months and with 43% sensitivity (21% in stage I; n = 121 and 49 cases).

Dr. Gatto believes that these results, as well as those from other studies looking at glycosaminoglycans as cancer biomarkers, will lead to the next steps of development. “But I speculate that this test could be most useful to assess in a cheap, practical, and noninvasive manner if a person at increased risk of cancer should be selected for cancer screening as part of established or emerging screening programs.”

The study was sponsored by Elypta. Dr. Gatto is listed as an inventor in patent applications related to the biomarkers described in this study and later assigned to Elypta, and is a shareholder and employed at Elypta. Dr. Hirsch reports no relevant financial relationships. Dr. Klein is a consultant for GRAIL and an investigator for CCGA and Pathfinder.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

FROM PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Overturning Roe: Exacerbating inequities in abortion care and ObGyn training

Article Type
Changed
Display Headline
Overturning Roe: Exacerbating inequities in abortion care and ObGyn training

 

On a recent overnight shift, our ObGyn on-call team was urgently paged to the emergency room for a patient who was brought in hemorrhaging after having passed out mid-flight from Texas to Boston. She was 12-weeks pregnant. We rushed her to the operating room for surgical removal of the pregnancy by dilation and curettage to stop her bleeding. Landing in Massachusetts had saved her life.

The significance of this patient’s case was not lost on the multidisciplinary teams caring for her, as the—at the time—impending Roe v Wade decision weighed heavily on our minds. One of many, her story foreshadows the harrowing experiences that we anticipate in the coming months and highlights the danger that the Supreme Court has inflicted on pregnant people nationally.

The Supreme Court decision on Dobbs v Jackson condemns us as a nation in which abortion rights are no longer federally protected under Roe v Wade.1 Twenty-six states have been poised to ban abortion, and in at least 12 states, abortion is now illegal.2,3 Political decision making will soon deny pregnant people the right to bodily autonomy, and the United States will lag behind other nations in abortion access.4 As ObGyn resident physicians who practice in tertiary referral hospitals in Massachusetts, where the ROE Act protects abortion beyond 24 weeks’ gestational age, we affirm abortion as essential health care that saves lives.5

Collectively as physician residents, we have provided an abortion for the patient at 22 weeks with a desired pregnancy who would have otherwise died from high blood pressures, the patient who ended her pregnancy to expedite breast cancer treatment, and the 16-year-old who feared for her life after suffering an assault by her partner for disclosing her pregnancy. With the overturn of Roe v Wade, patients like these will suffer dramatically divergent fates as race, class, and, now more than ever, geography will impact who is able to access abortion care.

Ramifications of the overturn of Roe

History foreshadows the grim impact of repealing Roe. Ohio’s 2011 law that requires the use of the restrictive protocol approved by the US Food and Drug Administration for mifepristone administration deepened existing inequities in abortion access.6 Patients with private insurance, higher income, higher level of education, and those who were White were more likely to obtain abortion care.7 In Texas, after the implementation of SB8 and other restrictive laws, Hispanic women whose travel distance increased more than 100 miles had the greatest reduction in abortion rates.8,9 A recent study regarding banning abortion in the United States estimated a 7% increase in pregnancy-related deaths in 1 year, with a 21% increase in subsequent years.10

Inequities in abortion access subsequently will disparately increase deaths of pregnant individuals in certain populations.11,12 Communities with the highest rates of unintended pregnancy, medical comorbidities, and lack of access to abortion, as well as historically marginalized populations—including non-Hispanic Black people, LGBTQIA people, those with limited English proficiency, and undocumented persons—will experience the greatest increase in pregnancy-related deaths due to a total abortion ban.13-15

The US maternal mortality rate is already the highest among developed nations, and it will only climb if ObGyns are not appropriately trained to operate within our full scope of practice and, thus, are unable to provide the highest quality of care.16,17

Continue: Abortion is a medical treatment that requires resident training...

 

 

Abortion is a medical treatment that requires resident training

Abortion care must be protected. Uterine evacuation by medical management, suction curettage, or dilation and evacuation is indicated for undesired pregnancy, regardless of reasoning or life circumstance. Pregnancy carries inherent risks that can at times be deadly.18 Abortion serves as first-line treatment for certain life-threatening pregnancy risks, including septic miscarriage, maternal hemorrhage, early-onset severe preeclampsia, and certain health conditions.19 Surgical skills and medical management of abortion are therefore fundamental components of ObGyn care and residency training.20

In choosing to become ObGyns,and particularly in selecting our training program, the ability to provide safe abortion care was a calculated priority. A recent study on the implications of overturning Roe predicted that nearly half of ObGyn residents will likely or certainly lose access to in-state abortion training.21 As demonstrated already in states with restrictive abortion laws, we will lose an entire generation of medical professionals skilled in performing this lifesaving procedure.9,22 While privileged patients may travel across state borders to access care, ObGyn and other medical trainees who are contract bound to residency programs do not have such flexibility to seek out abortion training. Although we hope the reversal of Roe will be fleeting, the consequences of this lost generation are irreparable.23,24 For physicians like ourselves, who fortunately are trained in surgical abortions and safe management of medical terminations, the discrepancy between evidence-based guidelines and impending political restrictions is distressing. We are forced to imagine refusing patients necessary health care—or face incarceration to save their lives.

The idea of watching a patient die, whether by hemorrhage, sepsis, or suicide, while armed with the tools of safe abortion technique is horrific. As authors with roots in Texas, Michigan, and Georgia, where abortion has or will almost certainly become illegal now that Roe v Wade is overturned, this scene is personal. It affects our future patients, our families, our colleagues, and our ability to return to our home states to live and practice.

Political organizing is critical to protect and restore abortion rights and defend against conservative coercive politics.25 Nearly half of pregnancies in the United States are unintended, and more than half of these end in abortion.26,27 Threats to abortion access require action from every one of the 59% of Americans who believe abortion should remain legal.28 This is especially important from a social and racial justice perspective as abortion bans will disproportionately affect marginalized groups and further exacerbate inequities in maternal mortality.13

Call to action

Now is the time for community action for reproductive justice and human rights. We urge everyone to donate to abortion funds, vote for leaders who support reproductive justice, and petition your state legislators to codify Roe into law. Now is the time to expand legislation to protect abortion providers and our patients. To ObGyns, family medicine physicians, internists, and other reproductive health clinicians, now is the time to maximize your abortion training. Now is the time to act; otherwise, pregnant individuals will die and future generations of physicians will not have the training to save their lives. ●

References

 

  1. de Vogue A, Sneed T, Duster C, et al. Supreme Court overturns Roe v Wade. CNN Politics. June 24, 2022. Accessed July 19, 2022. https://www.cnn.com/2022/06/24/politics/dobbs-missis sippi-supreme-court-abortion-roe-wade/index.html
  2. Nash E, Cross L. 26 States are certain or likely to ban abortion without Roe: here’s which ones and why. Guttmacher Institute. October 28, 2021. Updated April 19, 2022. Accessed July 19, 2022. https://www.guttmacher.org/article/2021/10/26-states-are-certain-or-likely-ban-abortion-without-roe-heres-which-ones-and-why
  3. Messerly M. Abortion laws by state: where abortions are illegal after Roe v Wade overturned. Politico. June 24, 2022. Accessed July 19, 2022. https://www.politico.com/news/2022/06/24/abortion-laws-by-state-roe-v-wade-00037695
  4. Archie A. US would lag behind global abortion access if Roe v Wade is undone, advocates say. NPR. May 5, 2022. Accessed July 19, 2022. https://www.npr.org/2022/05/05/1096805490/abortion-access-supreme-court-roe-v-wade-united-nations
  5. Romo V. Massachusetts senate overrides veto, passes law expanding abortion access. NPR. December 29, 2020. Accessed July 19, 2022. https://www.npr.org/2020/12/29/951259506/massachusetts-senate-overrides-veto-passes-law-expanding-abortion-access
  6. Upadhyay UD, Johns NE, Combellick SL, et al. Comparison of outcomes before and after Ohio’s law mandating use of the FDA-approved protocol for medication abortion: a retrospective cohort study. PLoS Med. 2016;13:e1002110.
  7. Upadhyay UD, Johns NE, Cartwright AF, et al. Sociodemographic characteristics of women able to obtain medication abortion before and after Ohio’s law requiring use of the Food and Drug Administration protocol. Health Equity. 2018;2:122-130.
  8. Goyal V, Brooks IHM, Powers DA. Differences in abortion rates by race-ethnicity after implementation of a restrictive Texas law. Contraception. 2020;102:109-114.
  9. Noyes E Holder BH, Evans ML. Texas SB8 and the future of abortion care. OBG Manag. 2021;33. doi:12788/obgm.0151.
  10. Vilda D, Wallace ME, Daniel C, et al. State abortion policies and maternal death in the United States, 2015‒2018. Am J Public Health. 2021;111:1696-1704.
  11. The Lancet. Why Roe v Wade must be defended. Lancet. 2022;399:1845.
  12. Nambiar A, Patel S, Santiago-Munoz P, et al. Maternal morbidity and fetal outcomes among pregnant women at 22 weeks’ gestation or less with complications in two Texas hospitals after legislation on abortion. Am J Obstet Gynecol. 2022;227:648-650.e1.
  13. Stevenson AJ. The pregnancy-related mortality impact of a total abortion ban in the United States: a research note on increased deaths due to remaining pregnant. Demography. 2021;58:20192028.
  14. Medley S. Gutting abortion rights would be devastating for LGBTQ+ people. Them. September 17, 2021. Accessed July 20, 2022. https://www.them.us/story/gutting-abortion-rights-devastating-lgbtq-people
  15. Holter L. Detained immigrant women are facing a grueling abortion struggle. National Latina Institute for Reproductive Justice. May 10, 2017. Accessed July 20, 2022. https://www.latinainsti tute.org/es/node/4620
  16. Haddad LB, Nour NM. Unsafe abortion: unnecessary maternal mortality. Rev Obstet Gynecol. 2009;2:122-126.
  17. Tikkanen R, Gunja MZ, FitzGerald M, et al. Maternal mortality and maternity care in the United States compared to 10 other developed countries. The Commonwealth Fund. November 18, 2020. Accessed November 17, 2022. https://www .commonwealthfund.org/publications/issue -briefs/2020/nov/maternal-mortality-maternity -care-us-compared-10-countries
  18. Collier A-RY, Molina RL. Maternal mortality in the United States: updates on trends, causes, and solutions. Neoreviews. 2019;20:e561-e574.
  19. ACOG practice bulletin no. 135: Second-trimester abortion. Obstet Gynecol. 2013;121:1394-1406.
  20. Committee on Health Care for Underserved Women. ACOG Committee opinion no. 612: Abortion training and education. Obstet Gynecol. 2014;124:1055-1059.
  21. Vinekar K, Karlapudi A, Nathan L, et al. Projected implications of overturning Roe v Wade on abortion training in US obstetrics and gynecology residency programs. Obstet Gynecol. 2022;140:146-149.
  22. Horvath S, Turk J, Steinauer J, et al. Increase in obstetrics and gynecology resident self-assessed competence in early pregnancy loss management with routine abortion care training. Obstet Gynecol. 2022;139:116-119.
  23. Anderson N. The fall of Roe scrambles abortion training in university hospitals. The Washington Post. June 30, 2022. Accessed July 20, 2022. https://www.washingtonpost.com/educa tion/2022/06/30/abortion-training-upheaval-dobbs/
  24. Weiner S. How the repeal of Roe v Wade will affect training in abortion and reproductive health. AAMC. June 24, 2022. Accessed July 20, 2022. https://www.aamc.org/news-insights/how-repeal-roe-v-wade-will-affect-training-abortion-and-reproductive-health
  25. Dreweke J. Coercion is at the heart of social conservatives’ reproductive health agenda. Guttmacher Institute. February 7, 2018. Accessed July 20, 2022. https://www.guttmacher.org/gpr/2018/02/coercion-heart-social-conservatives-reproduc tive-health-agenda
  26. Unintended pregnancy and abortion worldwide. Guttmacher Institute. March 2022. Accessed July 20, 2022. https://www.guttmacher.org/fact-sheet/induced-abortion-worldwide
  27. Finer LB, Zolna MR. Declines in unintended pregnancy in the United States, 2008–2011. N Engl J Med. 2016;374:843-852.
  28. Hartig H. About six-in-ten Americans say abortion should be legal in all or most cases. Pew Research Center. June 13, 2022. Accessed July 20, 2022. https://www.pewresearch.org/fact-tank/2022/06/13/about-six-in-ten-americans-say-abortion-should-be-legal-in-all-or-most-cases-2/
Article PDF
Author and Disclosure Information

Samantha Truong, MD

Dr. Truong is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston, Massachusetts.

Emily R. Burdette, MD, MPH

Dr. Burdette is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

Ellen C. Murphy, MD

Dr. Murphy is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

 

The authors report no financial relationships relevant to this article.

Issue
OBG Management - 34(12)
Publications
Topics
Page Number
38-40
Sections
Author and Disclosure Information

Samantha Truong, MD

Dr. Truong is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston, Massachusetts.

Emily R. Burdette, MD, MPH

Dr. Burdette is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

Ellen C. Murphy, MD

Dr. Murphy is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

 

The authors report no financial relationships relevant to this article.

Author and Disclosure Information

Samantha Truong, MD

Dr. Truong is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston, Massachusetts.

Emily R. Burdette, MD, MPH

Dr. Burdette is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

Ellen C. Murphy, MD

Dr. Murphy is Resident, Obstetrics and Gynecology, Brigham and Women’s Hospital and Massachusetts General Hospital, Boston.

 

The authors report no financial relationships relevant to this article.

Article PDF
Article PDF

 

On a recent overnight shift, our ObGyn on-call team was urgently paged to the emergency room for a patient who was brought in hemorrhaging after having passed out mid-flight from Texas to Boston. She was 12-weeks pregnant. We rushed her to the operating room for surgical removal of the pregnancy by dilation and curettage to stop her bleeding. Landing in Massachusetts had saved her life.

The significance of this patient’s case was not lost on the multidisciplinary teams caring for her, as the—at the time—impending Roe v Wade decision weighed heavily on our minds. One of many, her story foreshadows the harrowing experiences that we anticipate in the coming months and highlights the danger that the Supreme Court has inflicted on pregnant people nationally.

The Supreme Court decision on Dobbs v Jackson condemns us as a nation in which abortion rights are no longer federally protected under Roe v Wade.1 Twenty-six states have been poised to ban abortion, and in at least 12 states, abortion is now illegal.2,3 Political decision making will soon deny pregnant people the right to bodily autonomy, and the United States will lag behind other nations in abortion access.4 As ObGyn resident physicians who practice in tertiary referral hospitals in Massachusetts, where the ROE Act protects abortion beyond 24 weeks’ gestational age, we affirm abortion as essential health care that saves lives.5

Collectively as physician residents, we have provided an abortion for the patient at 22 weeks with a desired pregnancy who would have otherwise died from high blood pressures, the patient who ended her pregnancy to expedite breast cancer treatment, and the 16-year-old who feared for her life after suffering an assault by her partner for disclosing her pregnancy. With the overturn of Roe v Wade, patients like these will suffer dramatically divergent fates as race, class, and, now more than ever, geography will impact who is able to access abortion care.

Ramifications of the overturn of Roe

History foreshadows the grim impact of repealing Roe. Ohio’s 2011 law that requires the use of the restrictive protocol approved by the US Food and Drug Administration for mifepristone administration deepened existing inequities in abortion access.6 Patients with private insurance, higher income, higher level of education, and those who were White were more likely to obtain abortion care.7 In Texas, after the implementation of SB8 and other restrictive laws, Hispanic women whose travel distance increased more than 100 miles had the greatest reduction in abortion rates.8,9 A recent study regarding banning abortion in the United States estimated a 7% increase in pregnancy-related deaths in 1 year, with a 21% increase in subsequent years.10

Inequities in abortion access subsequently will disparately increase deaths of pregnant individuals in certain populations.11,12 Communities with the highest rates of unintended pregnancy, medical comorbidities, and lack of access to abortion, as well as historically marginalized populations—including non-Hispanic Black people, LGBTQIA people, those with limited English proficiency, and undocumented persons—will experience the greatest increase in pregnancy-related deaths due to a total abortion ban.13-15

The US maternal mortality rate is already the highest among developed nations, and it will only climb if ObGyns are not appropriately trained to operate within our full scope of practice and, thus, are unable to provide the highest quality of care.16,17

Continue: Abortion is a medical treatment that requires resident training...

 

 

Abortion is a medical treatment that requires resident training

Abortion care must be protected. Uterine evacuation by medical management, suction curettage, or dilation and evacuation is indicated for undesired pregnancy, regardless of reasoning or life circumstance. Pregnancy carries inherent risks that can at times be deadly.18 Abortion serves as first-line treatment for certain life-threatening pregnancy risks, including septic miscarriage, maternal hemorrhage, early-onset severe preeclampsia, and certain health conditions.19 Surgical skills and medical management of abortion are therefore fundamental components of ObGyn care and residency training.20

In choosing to become ObGyns,and particularly in selecting our training program, the ability to provide safe abortion care was a calculated priority. A recent study on the implications of overturning Roe predicted that nearly half of ObGyn residents will likely or certainly lose access to in-state abortion training.21 As demonstrated already in states with restrictive abortion laws, we will lose an entire generation of medical professionals skilled in performing this lifesaving procedure.9,22 While privileged patients may travel across state borders to access care, ObGyn and other medical trainees who are contract bound to residency programs do not have such flexibility to seek out abortion training. Although we hope the reversal of Roe will be fleeting, the consequences of this lost generation are irreparable.23,24 For physicians like ourselves, who fortunately are trained in surgical abortions and safe management of medical terminations, the discrepancy between evidence-based guidelines and impending political restrictions is distressing. We are forced to imagine refusing patients necessary health care—or face incarceration to save their lives.

The idea of watching a patient die, whether by hemorrhage, sepsis, or suicide, while armed with the tools of safe abortion technique is horrific. As authors with roots in Texas, Michigan, and Georgia, where abortion has or will almost certainly become illegal now that Roe v Wade is overturned, this scene is personal. It affects our future patients, our families, our colleagues, and our ability to return to our home states to live and practice.

Political organizing is critical to protect and restore abortion rights and defend against conservative coercive politics.25 Nearly half of pregnancies in the United States are unintended, and more than half of these end in abortion.26,27 Threats to abortion access require action from every one of the 59% of Americans who believe abortion should remain legal.28 This is especially important from a social and racial justice perspective as abortion bans will disproportionately affect marginalized groups and further exacerbate inequities in maternal mortality.13

Call to action

Now is the time for community action for reproductive justice and human rights. We urge everyone to donate to abortion funds, vote for leaders who support reproductive justice, and petition your state legislators to codify Roe into law. Now is the time to expand legislation to protect abortion providers and our patients. To ObGyns, family medicine physicians, internists, and other reproductive health clinicians, now is the time to maximize your abortion training. Now is the time to act; otherwise, pregnant individuals will die and future generations of physicians will not have the training to save their lives. ●

 

On a recent overnight shift, our ObGyn on-call team was urgently paged to the emergency room for a patient who was brought in hemorrhaging after having passed out mid-flight from Texas to Boston. She was 12-weeks pregnant. We rushed her to the operating room for surgical removal of the pregnancy by dilation and curettage to stop her bleeding. Landing in Massachusetts had saved her life.

The significance of this patient’s case was not lost on the multidisciplinary teams caring for her, as the—at the time—impending Roe v Wade decision weighed heavily on our minds. One of many, her story foreshadows the harrowing experiences that we anticipate in the coming months and highlights the danger that the Supreme Court has inflicted on pregnant people nationally.

The Supreme Court decision on Dobbs v Jackson condemns us as a nation in which abortion rights are no longer federally protected under Roe v Wade.1 Twenty-six states have been poised to ban abortion, and in at least 12 states, abortion is now illegal.2,3 Political decision making will soon deny pregnant people the right to bodily autonomy, and the United States will lag behind other nations in abortion access.4 As ObGyn resident physicians who practice in tertiary referral hospitals in Massachusetts, where the ROE Act protects abortion beyond 24 weeks’ gestational age, we affirm abortion as essential health care that saves lives.5

Collectively as physician residents, we have provided an abortion for the patient at 22 weeks with a desired pregnancy who would have otherwise died from high blood pressures, the patient who ended her pregnancy to expedite breast cancer treatment, and the 16-year-old who feared for her life after suffering an assault by her partner for disclosing her pregnancy. With the overturn of Roe v Wade, patients like these will suffer dramatically divergent fates as race, class, and, now more than ever, geography will impact who is able to access abortion care.

Ramifications of the overturn of Roe

History foreshadows the grim impact of repealing Roe. Ohio’s 2011 law that requires the use of the restrictive protocol approved by the US Food and Drug Administration for mifepristone administration deepened existing inequities in abortion access.6 Patients with private insurance, higher income, higher level of education, and those who were White were more likely to obtain abortion care.7 In Texas, after the implementation of SB8 and other restrictive laws, Hispanic women whose travel distance increased more than 100 miles had the greatest reduction in abortion rates.8,9 A recent study regarding banning abortion in the United States estimated a 7% increase in pregnancy-related deaths in 1 year, with a 21% increase in subsequent years.10

Inequities in abortion access subsequently will disparately increase deaths of pregnant individuals in certain populations.11,12 Communities with the highest rates of unintended pregnancy, medical comorbidities, and lack of access to abortion, as well as historically marginalized populations—including non-Hispanic Black people, LGBTQIA people, those with limited English proficiency, and undocumented persons—will experience the greatest increase in pregnancy-related deaths due to a total abortion ban.13-15

The US maternal mortality rate is already the highest among developed nations, and it will only climb if ObGyns are not appropriately trained to operate within our full scope of practice and, thus, are unable to provide the highest quality of care.16,17

Continue: Abortion is a medical treatment that requires resident training...

 

 

Abortion is a medical treatment that requires resident training

Abortion care must be protected. Uterine evacuation by medical management, suction curettage, or dilation and evacuation is indicated for undesired pregnancy, regardless of reasoning or life circumstance. Pregnancy carries inherent risks that can at times be deadly.18 Abortion serves as first-line treatment for certain life-threatening pregnancy risks, including septic miscarriage, maternal hemorrhage, early-onset severe preeclampsia, and certain health conditions.19 Surgical skills and medical management of abortion are therefore fundamental components of ObGyn care and residency training.20

In choosing to become ObGyns,and particularly in selecting our training program, the ability to provide safe abortion care was a calculated priority. A recent study on the implications of overturning Roe predicted that nearly half of ObGyn residents will likely or certainly lose access to in-state abortion training.21 As demonstrated already in states with restrictive abortion laws, we will lose an entire generation of medical professionals skilled in performing this lifesaving procedure.9,22 While privileged patients may travel across state borders to access care, ObGyn and other medical trainees who are contract bound to residency programs do not have such flexibility to seek out abortion training. Although we hope the reversal of Roe will be fleeting, the consequences of this lost generation are irreparable.23,24 For physicians like ourselves, who fortunately are trained in surgical abortions and safe management of medical terminations, the discrepancy between evidence-based guidelines and impending political restrictions is distressing. We are forced to imagine refusing patients necessary health care—or face incarceration to save their lives.

The idea of watching a patient die, whether by hemorrhage, sepsis, or suicide, while armed with the tools of safe abortion technique is horrific. As authors with roots in Texas, Michigan, and Georgia, where abortion has or will almost certainly become illegal now that Roe v Wade is overturned, this scene is personal. It affects our future patients, our families, our colleagues, and our ability to return to our home states to live and practice.

Political organizing is critical to protect and restore abortion rights and defend against conservative coercive politics.25 Nearly half of pregnancies in the United States are unintended, and more than half of these end in abortion.26,27 Threats to abortion access require action from every one of the 59% of Americans who believe abortion should remain legal.28 This is especially important from a social and racial justice perspective as abortion bans will disproportionately affect marginalized groups and further exacerbate inequities in maternal mortality.13

Call to action

Now is the time for community action for reproductive justice and human rights. We urge everyone to donate to abortion funds, vote for leaders who support reproductive justice, and petition your state legislators to codify Roe into law. Now is the time to expand legislation to protect abortion providers and our patients. To ObGyns, family medicine physicians, internists, and other reproductive health clinicians, now is the time to maximize your abortion training. Now is the time to act; otherwise, pregnant individuals will die and future generations of physicians will not have the training to save their lives. ●

References

 

  1. de Vogue A, Sneed T, Duster C, et al. Supreme Court overturns Roe v Wade. CNN Politics. June 24, 2022. Accessed July 19, 2022. https://www.cnn.com/2022/06/24/politics/dobbs-missis sippi-supreme-court-abortion-roe-wade/index.html
  2. Nash E, Cross L. 26 States are certain or likely to ban abortion without Roe: here’s which ones and why. Guttmacher Institute. October 28, 2021. Updated April 19, 2022. Accessed July 19, 2022. https://www.guttmacher.org/article/2021/10/26-states-are-certain-or-likely-ban-abortion-without-roe-heres-which-ones-and-why
  3. Messerly M. Abortion laws by state: where abortions are illegal after Roe v Wade overturned. Politico. June 24, 2022. Accessed July 19, 2022. https://www.politico.com/news/2022/06/24/abortion-laws-by-state-roe-v-wade-00037695
  4. Archie A. US would lag behind global abortion access if Roe v Wade is undone, advocates say. NPR. May 5, 2022. Accessed July 19, 2022. https://www.npr.org/2022/05/05/1096805490/abortion-access-supreme-court-roe-v-wade-united-nations
  5. Romo V. Massachusetts senate overrides veto, passes law expanding abortion access. NPR. December 29, 2020. Accessed July 19, 2022. https://www.npr.org/2020/12/29/951259506/massachusetts-senate-overrides-veto-passes-law-expanding-abortion-access
  6. Upadhyay UD, Johns NE, Combellick SL, et al. Comparison of outcomes before and after Ohio’s law mandating use of the FDA-approved protocol for medication abortion: a retrospective cohort study. PLoS Med. 2016;13:e1002110.
  7. Upadhyay UD, Johns NE, Cartwright AF, et al. Sociodemographic characteristics of women able to obtain medication abortion before and after Ohio’s law requiring use of the Food and Drug Administration protocol. Health Equity. 2018;2:122-130.
  8. Goyal V, Brooks IHM, Powers DA. Differences in abortion rates by race-ethnicity after implementation of a restrictive Texas law. Contraception. 2020;102:109-114.
  9. Noyes E Holder BH, Evans ML. Texas SB8 and the future of abortion care. OBG Manag. 2021;33. doi:12788/obgm.0151.
  10. Vilda D, Wallace ME, Daniel C, et al. State abortion policies and maternal death in the United States, 2015‒2018. Am J Public Health. 2021;111:1696-1704.
  11. The Lancet. Why Roe v Wade must be defended. Lancet. 2022;399:1845.
  12. Nambiar A, Patel S, Santiago-Munoz P, et al. Maternal morbidity and fetal outcomes among pregnant women at 22 weeks’ gestation or less with complications in two Texas hospitals after legislation on abortion. Am J Obstet Gynecol. 2022;227:648-650.e1.
  13. Stevenson AJ. The pregnancy-related mortality impact of a total abortion ban in the United States: a research note on increased deaths due to remaining pregnant. Demography. 2021;58:20192028.
  14. Medley S. Gutting abortion rights would be devastating for LGBTQ+ people. Them. September 17, 2021. Accessed July 20, 2022. https://www.them.us/story/gutting-abortion-rights-devastating-lgbtq-people
  15. Holter L. Detained immigrant women are facing a grueling abortion struggle. National Latina Institute for Reproductive Justice. May 10, 2017. Accessed July 20, 2022. https://www.latinainsti tute.org/es/node/4620
  16. Haddad LB, Nour NM. Unsafe abortion: unnecessary maternal mortality. Rev Obstet Gynecol. 2009;2:122-126.
  17. Tikkanen R, Gunja MZ, FitzGerald M, et al. Maternal mortality and maternity care in the United States compared to 10 other developed countries. The Commonwealth Fund. November 18, 2020. Accessed November 17, 2022. https://www .commonwealthfund.org/publications/issue -briefs/2020/nov/maternal-mortality-maternity -care-us-compared-10-countries
  18. Collier A-RY, Molina RL. Maternal mortality in the United States: updates on trends, causes, and solutions. Neoreviews. 2019;20:e561-e574.
  19. ACOG practice bulletin no. 135: Second-trimester abortion. Obstet Gynecol. 2013;121:1394-1406.
  20. Committee on Health Care for Underserved Women. ACOG Committee opinion no. 612: Abortion training and education. Obstet Gynecol. 2014;124:1055-1059.
  21. Vinekar K, Karlapudi A, Nathan L, et al. Projected implications of overturning Roe v Wade on abortion training in US obstetrics and gynecology residency programs. Obstet Gynecol. 2022;140:146-149.
  22. Horvath S, Turk J, Steinauer J, et al. Increase in obstetrics and gynecology resident self-assessed competence in early pregnancy loss management with routine abortion care training. Obstet Gynecol. 2022;139:116-119.
  23. Anderson N. The fall of Roe scrambles abortion training in university hospitals. The Washington Post. June 30, 2022. Accessed July 20, 2022. https://www.washingtonpost.com/educa tion/2022/06/30/abortion-training-upheaval-dobbs/
  24. Weiner S. How the repeal of Roe v Wade will affect training in abortion and reproductive health. AAMC. June 24, 2022. Accessed July 20, 2022. https://www.aamc.org/news-insights/how-repeal-roe-v-wade-will-affect-training-abortion-and-reproductive-health
  25. Dreweke J. Coercion is at the heart of social conservatives’ reproductive health agenda. Guttmacher Institute. February 7, 2018. Accessed July 20, 2022. https://www.guttmacher.org/gpr/2018/02/coercion-heart-social-conservatives-reproduc tive-health-agenda
  26. Unintended pregnancy and abortion worldwide. Guttmacher Institute. March 2022. Accessed July 20, 2022. https://www.guttmacher.org/fact-sheet/induced-abortion-worldwide
  27. Finer LB, Zolna MR. Declines in unintended pregnancy in the United States, 2008–2011. N Engl J Med. 2016;374:843-852.
  28. Hartig H. About six-in-ten Americans say abortion should be legal in all or most cases. Pew Research Center. June 13, 2022. Accessed July 20, 2022. https://www.pewresearch.org/fact-tank/2022/06/13/about-six-in-ten-americans-say-abortion-should-be-legal-in-all-or-most-cases-2/
References

 

  1. de Vogue A, Sneed T, Duster C, et al. Supreme Court overturns Roe v Wade. CNN Politics. June 24, 2022. Accessed July 19, 2022. https://www.cnn.com/2022/06/24/politics/dobbs-missis sippi-supreme-court-abortion-roe-wade/index.html
  2. Nash E, Cross L. 26 States are certain or likely to ban abortion without Roe: here’s which ones and why. Guttmacher Institute. October 28, 2021. Updated April 19, 2022. Accessed July 19, 2022. https://www.guttmacher.org/article/2021/10/26-states-are-certain-or-likely-ban-abortion-without-roe-heres-which-ones-and-why
  3. Messerly M. Abortion laws by state: where abortions are illegal after Roe v Wade overturned. Politico. June 24, 2022. Accessed July 19, 2022. https://www.politico.com/news/2022/06/24/abortion-laws-by-state-roe-v-wade-00037695
  4. Archie A. US would lag behind global abortion access if Roe v Wade is undone, advocates say. NPR. May 5, 2022. Accessed July 19, 2022. https://www.npr.org/2022/05/05/1096805490/abortion-access-supreme-court-roe-v-wade-united-nations
  5. Romo V. Massachusetts senate overrides veto, passes law expanding abortion access. NPR. December 29, 2020. Accessed July 19, 2022. https://www.npr.org/2020/12/29/951259506/massachusetts-senate-overrides-veto-passes-law-expanding-abortion-access
  6. Upadhyay UD, Johns NE, Combellick SL, et al. Comparison of outcomes before and after Ohio’s law mandating use of the FDA-approved protocol for medication abortion: a retrospective cohort study. PLoS Med. 2016;13:e1002110.
  7. Upadhyay UD, Johns NE, Cartwright AF, et al. Sociodemographic characteristics of women able to obtain medication abortion before and after Ohio’s law requiring use of the Food and Drug Administration protocol. Health Equity. 2018;2:122-130.
  8. Goyal V, Brooks IHM, Powers DA. Differences in abortion rates by race-ethnicity after implementation of a restrictive Texas law. Contraception. 2020;102:109-114.
  9. Noyes E Holder BH, Evans ML. Texas SB8 and the future of abortion care. OBG Manag. 2021;33. doi:12788/obgm.0151.
  10. Vilda D, Wallace ME, Daniel C, et al. State abortion policies and maternal death in the United States, 2015‒2018. Am J Public Health. 2021;111:1696-1704.
  11. The Lancet. Why Roe v Wade must be defended. Lancet. 2022;399:1845.
  12. Nambiar A, Patel S, Santiago-Munoz P, et al. Maternal morbidity and fetal outcomes among pregnant women at 22 weeks’ gestation or less with complications in two Texas hospitals after legislation on abortion. Am J Obstet Gynecol. 2022;227:648-650.e1.
  13. Stevenson AJ. The pregnancy-related mortality impact of a total abortion ban in the United States: a research note on increased deaths due to remaining pregnant. Demography. 2021;58:20192028.
  14. Medley S. Gutting abortion rights would be devastating for LGBTQ+ people. Them. September 17, 2021. Accessed July 20, 2022. https://www.them.us/story/gutting-abortion-rights-devastating-lgbtq-people
  15. Holter L. Detained immigrant women are facing a grueling abortion struggle. National Latina Institute for Reproductive Justice. May 10, 2017. Accessed July 20, 2022. https://www.latinainsti tute.org/es/node/4620
  16. Haddad LB, Nour NM. Unsafe abortion: unnecessary maternal mortality. Rev Obstet Gynecol. 2009;2:122-126.
  17. Tikkanen R, Gunja MZ, FitzGerald M, et al. Maternal mortality and maternity care in the United States compared to 10 other developed countries. The Commonwealth Fund. November 18, 2020. Accessed November 17, 2022. https://www .commonwealthfund.org/publications/issue -briefs/2020/nov/maternal-mortality-maternity -care-us-compared-10-countries
  18. Collier A-RY, Molina RL. Maternal mortality in the United States: updates on trends, causes, and solutions. Neoreviews. 2019;20:e561-e574.
  19. ACOG practice bulletin no. 135: Second-trimester abortion. Obstet Gynecol. 2013;121:1394-1406.
  20. Committee on Health Care for Underserved Women. ACOG Committee opinion no. 612: Abortion training and education. Obstet Gynecol. 2014;124:1055-1059.
  21. Vinekar K, Karlapudi A, Nathan L, et al. Projected implications of overturning Roe v Wade on abortion training in US obstetrics and gynecology residency programs. Obstet Gynecol. 2022;140:146-149.
  22. Horvath S, Turk J, Steinauer J, et al. Increase in obstetrics and gynecology resident self-assessed competence in early pregnancy loss management with routine abortion care training. Obstet Gynecol. 2022;139:116-119.
  23. Anderson N. The fall of Roe scrambles abortion training in university hospitals. The Washington Post. June 30, 2022. Accessed July 20, 2022. https://www.washingtonpost.com/educa tion/2022/06/30/abortion-training-upheaval-dobbs/
  24. Weiner S. How the repeal of Roe v Wade will affect training in abortion and reproductive health. AAMC. June 24, 2022. Accessed July 20, 2022. https://www.aamc.org/news-insights/how-repeal-roe-v-wade-will-affect-training-abortion-and-reproductive-health
  25. Dreweke J. Coercion is at the heart of social conservatives’ reproductive health agenda. Guttmacher Institute. February 7, 2018. Accessed July 20, 2022. https://www.guttmacher.org/gpr/2018/02/coercion-heart-social-conservatives-reproduc tive-health-agenda
  26. Unintended pregnancy and abortion worldwide. Guttmacher Institute. March 2022. Accessed July 20, 2022. https://www.guttmacher.org/fact-sheet/induced-abortion-worldwide
  27. Finer LB, Zolna MR. Declines in unintended pregnancy in the United States, 2008–2011. N Engl J Med. 2016;374:843-852.
  28. Hartig H. About six-in-ten Americans say abortion should be legal in all or most cases. Pew Research Center. June 13, 2022. Accessed July 20, 2022. https://www.pewresearch.org/fact-tank/2022/06/13/about-six-in-ten-americans-say-abortion-should-be-legal-in-all-or-most-cases-2/
Issue
OBG Management - 34(12)
Issue
OBG Management - 34(12)
Page Number
38-40
Page Number
38-40
Publications
Publications
Topics
Article Type
Display Headline
Overturning Roe: Exacerbating inequities in abortion care and ObGyn training
Display Headline
Overturning Roe: Exacerbating inequities in abortion care and ObGyn training
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Eyebrow Default
PERSPECTIVES FROM THE FIELD
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Mindfulness, exercise strike out in memory trial

Article Type
Changed

 

Welcome to Impact Factor, your weekly dose of commentary on a new medical study. I’m Dr. F. Perry Wilson of the Yale School of Medicine.

We are coming to the end of the year, which always makes me think about getting older. Despite the fact that aging is, definitionally, inexorable, we continue to search for ways to avoid the losses that come with age, whether that is strength, beauty, or our cognitive powers. Much like the search for the fountain of youth, many promising leads have ultimately led to dead ends. And yet, I had high hopes for a trial that focused on two cornerstones of wellness – exercise and mindfulness – to address the subjective loss of memory that comes with aging. Alas, meditation and exercise do not appear to be the fountain of youth.

I’m talking about this study, appearing in JAMA, known as the MEDEX trial.

It’s a clever design: a 2 x 2 factorial randomized trial where participants could be randomized to a mindfulness intervention, an exercise intervention, both, or neither.

Courtesy Dr. F. Perry Wilson

In this manner, you can test multiple hypotheses exploiting a shared control group. Or as a mentor of mine used to say, you get two trials for the price of one and a half.

The participants were older adults, aged 65-84, living in the community. They had to be relatively sedentary at baseline and not engaging in mindfulness practices. They had to subjectively report some memory or concentration issues but had to be cognitively intact, based on a standard dementia screening test. In other words, these are your average older people who are worried that they aren’t as sharp as they used to be.

The interventions themselves were fairly intense. The exercise group had instructor-led sessions for 90 minutes twice a week for the first 6 months of the study, once a week thereafter. And participants were encouraged to exercise at home such that they had a total of 300 minutes of weekly exercise.

The mindfulness program was characterized by eight weekly classes of 2.5 hours each as well as a half-day retreat to teach the tenets of mindfulness and meditation, with monthly refreshers thereafter. Participants were instructed to meditate for 60 minutes a day in addition to the classes.

For the 144 people who were randomized to both meditation and exercise, this trial amounted to something of a part-time job. So you might think that adherence to the interventions was low, but apparently that’s not the case. Attendance to the mindfulness classes was over 90%, and over 80% for the exercise classes. And diary-based reporting of home efforts was also pretty good.

The control group wasn’t left to their own devices. Recognizing that the community aspect of exercise or mindfulness classes might convey a benefit independent of the actual exercise or mindfulness, the control group met on a similar schedule to discuss health education, but no mention of exercise or mindfulness occurred in that setting.

The primary outcome was change in memory and executive function scores across a battery of neuropsychologic testing, but the story is told in just a few pictures.

Memory scores improved in all three groups – mindfulness, exercise, and health education – over time. Cognitive composite score improved in all three groups similarly. There was no synergistic effect of mindfulness and exercise either. Basically, everyone got a bit better.

But the study did way more than look at scores on tests. Researchers used MRI to measure brain anatomic outcomes as well. And the surprising thing is that virtually none of these outcomes were different between the groups either.

Hippocampal volume decreased a bit in all the groups. Dorsolateral prefrontal cortex volume was flat. There was no change in scores measuring tasks of daily living.

When you see negative results like this, right away you worry that the intervention wasn’t properly delivered. Were these people really exercising and meditating? Well, the authors showed that individuals randomized to exercise, at least, had less sleep latency, greater aerobic fitness, and greater strength. So we know something was happening.

They then asked, would the people in the exercise group with the greatest changes in those physiologic parameters show some improvement in cognitive parameters? In other words, we know you were exercising because you got stronger and are sleeping better; is your memory better? The answer? Surprisingly, still no. Even in that honestly somewhat cherry-picked group, the interventions had no effect.

Could it be that the control was inappropriate, that the “health education” intervention was actually so helpful that it obscured the benefits of exercise and meditation? After all, cognitive scores did improve in all groups. The authors doubt it. They say they think the improvement in cognitive scores reflects the fact that patients had learned a bit about how to take the tests. This is pretty common in the neuropsychiatric literature.

So here we are and I just want to say, well, shoot. This is not the result I wanted. And I think the reason I’m so disappointed is because aging and the loss of cognitive faculties that comes with aging are just sort of scary. We are all looking for some control over that fear, and how nice it would be to be able to tell ourselves not to worry – that we won’t have those problems as we get older because we exercise, or meditate, or drink red wine, or don’t drink wine, or whatever. And while I have no doubt that staying healthier physically will keep you healthier mentally, it may take more than one simple thing to move the needle.

Dr. Wilson is associate professor, department of medicine, and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

 

Welcome to Impact Factor, your weekly dose of commentary on a new medical study. I’m Dr. F. Perry Wilson of the Yale School of Medicine.

We are coming to the end of the year, which always makes me think about getting older. Despite the fact that aging is, definitionally, inexorable, we continue to search for ways to avoid the losses that come with age, whether that is strength, beauty, or our cognitive powers. Much like the search for the fountain of youth, many promising leads have ultimately led to dead ends. And yet, I had high hopes for a trial that focused on two cornerstones of wellness – exercise and mindfulness – to address the subjective loss of memory that comes with aging. Alas, meditation and exercise do not appear to be the fountain of youth.

I’m talking about this study, appearing in JAMA, known as the MEDEX trial.

It’s a clever design: a 2 x 2 factorial randomized trial where participants could be randomized to a mindfulness intervention, an exercise intervention, both, or neither.

Courtesy Dr. F. Perry Wilson

In this manner, you can test multiple hypotheses exploiting a shared control group. Or as a mentor of mine used to say, you get two trials for the price of one and a half.

The participants were older adults, aged 65-84, living in the community. They had to be relatively sedentary at baseline and not engaging in mindfulness practices. They had to subjectively report some memory or concentration issues but had to be cognitively intact, based on a standard dementia screening test. In other words, these are your average older people who are worried that they aren’t as sharp as they used to be.

The interventions themselves were fairly intense. The exercise group had instructor-led sessions for 90 minutes twice a week for the first 6 months of the study, once a week thereafter. And participants were encouraged to exercise at home such that they had a total of 300 minutes of weekly exercise.

The mindfulness program was characterized by eight weekly classes of 2.5 hours each as well as a half-day retreat to teach the tenets of mindfulness and meditation, with monthly refreshers thereafter. Participants were instructed to meditate for 60 minutes a day in addition to the classes.

For the 144 people who were randomized to both meditation and exercise, this trial amounted to something of a part-time job. So you might think that adherence to the interventions was low, but apparently that’s not the case. Attendance to the mindfulness classes was over 90%, and over 80% for the exercise classes. And diary-based reporting of home efforts was also pretty good.

The control group wasn’t left to their own devices. Recognizing that the community aspect of exercise or mindfulness classes might convey a benefit independent of the actual exercise or mindfulness, the control group met on a similar schedule to discuss health education, but no mention of exercise or mindfulness occurred in that setting.

The primary outcome was change in memory and executive function scores across a battery of neuropsychologic testing, but the story is told in just a few pictures.

Memory scores improved in all three groups – mindfulness, exercise, and health education – over time. Cognitive composite score improved in all three groups similarly. There was no synergistic effect of mindfulness and exercise either. Basically, everyone got a bit better.

But the study did way more than look at scores on tests. Researchers used MRI to measure brain anatomic outcomes as well. And the surprising thing is that virtually none of these outcomes were different between the groups either.

Hippocampal volume decreased a bit in all the groups. Dorsolateral prefrontal cortex volume was flat. There was no change in scores measuring tasks of daily living.

When you see negative results like this, right away you worry that the intervention wasn’t properly delivered. Were these people really exercising and meditating? Well, the authors showed that individuals randomized to exercise, at least, had less sleep latency, greater aerobic fitness, and greater strength. So we know something was happening.

They then asked, would the people in the exercise group with the greatest changes in those physiologic parameters show some improvement in cognitive parameters? In other words, we know you were exercising because you got stronger and are sleeping better; is your memory better? The answer? Surprisingly, still no. Even in that honestly somewhat cherry-picked group, the interventions had no effect.

Could it be that the control was inappropriate, that the “health education” intervention was actually so helpful that it obscured the benefits of exercise and meditation? After all, cognitive scores did improve in all groups. The authors doubt it. They say they think the improvement in cognitive scores reflects the fact that patients had learned a bit about how to take the tests. This is pretty common in the neuropsychiatric literature.

So here we are and I just want to say, well, shoot. This is not the result I wanted. And I think the reason I’m so disappointed is because aging and the loss of cognitive faculties that comes with aging are just sort of scary. We are all looking for some control over that fear, and how nice it would be to be able to tell ourselves not to worry – that we won’t have those problems as we get older because we exercise, or meditate, or drink red wine, or don’t drink wine, or whatever. And while I have no doubt that staying healthier physically will keep you healthier mentally, it may take more than one simple thing to move the needle.

Dr. Wilson is associate professor, department of medicine, and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

 

Welcome to Impact Factor, your weekly dose of commentary on a new medical study. I’m Dr. F. Perry Wilson of the Yale School of Medicine.

We are coming to the end of the year, which always makes me think about getting older. Despite the fact that aging is, definitionally, inexorable, we continue to search for ways to avoid the losses that come with age, whether that is strength, beauty, or our cognitive powers. Much like the search for the fountain of youth, many promising leads have ultimately led to dead ends. And yet, I had high hopes for a trial that focused on two cornerstones of wellness – exercise and mindfulness – to address the subjective loss of memory that comes with aging. Alas, meditation and exercise do not appear to be the fountain of youth.

I’m talking about this study, appearing in JAMA, known as the MEDEX trial.

It’s a clever design: a 2 x 2 factorial randomized trial where participants could be randomized to a mindfulness intervention, an exercise intervention, both, or neither.

Courtesy Dr. F. Perry Wilson

In this manner, you can test multiple hypotheses exploiting a shared control group. Or as a mentor of mine used to say, you get two trials for the price of one and a half.

The participants were older adults, aged 65-84, living in the community. They had to be relatively sedentary at baseline and not engaging in mindfulness practices. They had to subjectively report some memory or concentration issues but had to be cognitively intact, based on a standard dementia screening test. In other words, these are your average older people who are worried that they aren’t as sharp as they used to be.

The interventions themselves were fairly intense. The exercise group had instructor-led sessions for 90 minutes twice a week for the first 6 months of the study, once a week thereafter. And participants were encouraged to exercise at home such that they had a total of 300 minutes of weekly exercise.

The mindfulness program was characterized by eight weekly classes of 2.5 hours each as well as a half-day retreat to teach the tenets of mindfulness and meditation, with monthly refreshers thereafter. Participants were instructed to meditate for 60 minutes a day in addition to the classes.

For the 144 people who were randomized to both meditation and exercise, this trial amounted to something of a part-time job. So you might think that adherence to the interventions was low, but apparently that’s not the case. Attendance to the mindfulness classes was over 90%, and over 80% for the exercise classes. And diary-based reporting of home efforts was also pretty good.

The control group wasn’t left to their own devices. Recognizing that the community aspect of exercise or mindfulness classes might convey a benefit independent of the actual exercise or mindfulness, the control group met on a similar schedule to discuss health education, but no mention of exercise or mindfulness occurred in that setting.

The primary outcome was change in memory and executive function scores across a battery of neuropsychologic testing, but the story is told in just a few pictures.

Memory scores improved in all three groups – mindfulness, exercise, and health education – over time. Cognitive composite score improved in all three groups similarly. There was no synergistic effect of mindfulness and exercise either. Basically, everyone got a bit better.

But the study did way more than look at scores on tests. Researchers used MRI to measure brain anatomic outcomes as well. And the surprising thing is that virtually none of these outcomes were different between the groups either.

Hippocampal volume decreased a bit in all the groups. Dorsolateral prefrontal cortex volume was flat. There was no change in scores measuring tasks of daily living.

When you see negative results like this, right away you worry that the intervention wasn’t properly delivered. Were these people really exercising and meditating? Well, the authors showed that individuals randomized to exercise, at least, had less sleep latency, greater aerobic fitness, and greater strength. So we know something was happening.

They then asked, would the people in the exercise group with the greatest changes in those physiologic parameters show some improvement in cognitive parameters? In other words, we know you were exercising because you got stronger and are sleeping better; is your memory better? The answer? Surprisingly, still no. Even in that honestly somewhat cherry-picked group, the interventions had no effect.

Could it be that the control was inappropriate, that the “health education” intervention was actually so helpful that it obscured the benefits of exercise and meditation? After all, cognitive scores did improve in all groups. The authors doubt it. They say they think the improvement in cognitive scores reflects the fact that patients had learned a bit about how to take the tests. This is pretty common in the neuropsychiatric literature.

So here we are and I just want to say, well, shoot. This is not the result I wanted. And I think the reason I’m so disappointed is because aging and the loss of cognitive faculties that comes with aging are just sort of scary. We are all looking for some control over that fear, and how nice it would be to be able to tell ourselves not to worry – that we won’t have those problems as we get older because we exercise, or meditate, or drink red wine, or don’t drink wine, or whatever. And while I have no doubt that staying healthier physically will keep you healthier mentally, it may take more than one simple thing to move the needle.

Dr. Wilson is associate professor, department of medicine, and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He reported no conflicts of interest.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Cancer researcher banned from federal funding for faking data in nearly 400 images in 16 grant applications

Article Type
Changed

A former associate professor at Purdue University faked data in two published papers and hundreds of images in 16 grant applications, according to a U.S. government research watchdog. 

Alice C. Chang, PhD, whose publications and grants listed her name as Chun-Ju Chang, received nearly $700,000 in funding from the National Institutes of Health through grant applications that the U.S. Office of Research Integrity said contained fake data. She will be banned from receiving federal grants for a decade – a more severe sanction than ORI has typically imposed in recent years.

In its findings, ORI said Dr. Chang, who was an associate professor of basic medical sciences at Purdue’s College of Veterinary Medicine, West Lafayette, Ind., “knowingly, intentionally, or recklessly falsified and/or fabricated data from the same mouse models or cell lines by reusing the data, with or without manipulation, to represent unrelated experiments from different mouse models or cell lines with different treatments in three hundred eighty-four (384) figure panels in sixteen (16) grant applications.”

Two of the grant applications were funded. Dr. Chang received $688,196 from the National Cancer Institute, a division of NIH, from 2018 to 2019 for “Targeting metformin-directed stem cell fate in triple negative breast cancer.” The other grant ORI says was submitted in 2014 and funded, “Targeting cell polarity machinery to exhaust breast cancer stem cell pool,” does not show up in NIH RePorter. The rest of the grants were not approved. 

We found a Chun-Ju Chang who is dean of the College of Life Sciences at China Medical University in Taiwan and has published papers with a group that Chun-Ju Chang at Purdue also published with. She did not immediately respond to our request for comment. 

ORI’s finding also stated Dr. Chang faked data in two papers supported by government funding by reusing figures reporting gene expression in mice and cells after drug treatments, relabeling them to say they showed the results of different experiments. According to the agency, she has agreed to request corrections for the papers: 

Leptin–STAT3–G9a Signaling Promotes Obesity-Mediated Breast Cancer Progression,” published in May 2015 in Cancer Research and cited 83 times, according to Clarivate’s Web of Science. 

Retinoic acid directs breast cancer cell state changes through regulation of TET2-PKC-zeta pathway,” published in February 2017 in Oncogene and cited 26 times. 

Between the two papers and 15 of the grant applications, ORI said that Dr. Chang reused gene expression data, sometimes with manipulation, in 119 figure panels. She reused other types of data and images in hundreds of figures across multiple grant applications, ORI found. 

As well as correcting the two papers, Dr. Chang agreed to a 10-year ban from all federal contracting, including grant funding. She also agreed not to serve in any advisory or consulting role with the U.S. Public Health Service, which includes the NIH, for that time period.

A version of this article first appeared on Retraction Watch.

Publications
Topics
Sections

A former associate professor at Purdue University faked data in two published papers and hundreds of images in 16 grant applications, according to a U.S. government research watchdog. 

Alice C. Chang, PhD, whose publications and grants listed her name as Chun-Ju Chang, received nearly $700,000 in funding from the National Institutes of Health through grant applications that the U.S. Office of Research Integrity said contained fake data. She will be banned from receiving federal grants for a decade – a more severe sanction than ORI has typically imposed in recent years.

In its findings, ORI said Dr. Chang, who was an associate professor of basic medical sciences at Purdue’s College of Veterinary Medicine, West Lafayette, Ind., “knowingly, intentionally, or recklessly falsified and/or fabricated data from the same mouse models or cell lines by reusing the data, with or without manipulation, to represent unrelated experiments from different mouse models or cell lines with different treatments in three hundred eighty-four (384) figure panels in sixteen (16) grant applications.”

Two of the grant applications were funded. Dr. Chang received $688,196 from the National Cancer Institute, a division of NIH, from 2018 to 2019 for “Targeting metformin-directed stem cell fate in triple negative breast cancer.” The other grant ORI says was submitted in 2014 and funded, “Targeting cell polarity machinery to exhaust breast cancer stem cell pool,” does not show up in NIH RePorter. The rest of the grants were not approved. 

We found a Chun-Ju Chang who is dean of the College of Life Sciences at China Medical University in Taiwan and has published papers with a group that Chun-Ju Chang at Purdue also published with. She did not immediately respond to our request for comment. 

ORI’s finding also stated Dr. Chang faked data in two papers supported by government funding by reusing figures reporting gene expression in mice and cells after drug treatments, relabeling them to say they showed the results of different experiments. According to the agency, she has agreed to request corrections for the papers: 

Leptin–STAT3–G9a Signaling Promotes Obesity-Mediated Breast Cancer Progression,” published in May 2015 in Cancer Research and cited 83 times, according to Clarivate’s Web of Science. 

Retinoic acid directs breast cancer cell state changes through regulation of TET2-PKC-zeta pathway,” published in February 2017 in Oncogene and cited 26 times. 

Between the two papers and 15 of the grant applications, ORI said that Dr. Chang reused gene expression data, sometimes with manipulation, in 119 figure panels. She reused other types of data and images in hundreds of figures across multiple grant applications, ORI found. 

As well as correcting the two papers, Dr. Chang agreed to a 10-year ban from all federal contracting, including grant funding. She also agreed not to serve in any advisory or consulting role with the U.S. Public Health Service, which includes the NIH, for that time period.

A version of this article first appeared on Retraction Watch.

A former associate professor at Purdue University faked data in two published papers and hundreds of images in 16 grant applications, according to a U.S. government research watchdog. 

Alice C. Chang, PhD, whose publications and grants listed her name as Chun-Ju Chang, received nearly $700,000 in funding from the National Institutes of Health through grant applications that the U.S. Office of Research Integrity said contained fake data. She will be banned from receiving federal grants for a decade – a more severe sanction than ORI has typically imposed in recent years.

In its findings, ORI said Dr. Chang, who was an associate professor of basic medical sciences at Purdue’s College of Veterinary Medicine, West Lafayette, Ind., “knowingly, intentionally, or recklessly falsified and/or fabricated data from the same mouse models or cell lines by reusing the data, with or without manipulation, to represent unrelated experiments from different mouse models or cell lines with different treatments in three hundred eighty-four (384) figure panels in sixteen (16) grant applications.”

Two of the grant applications were funded. Dr. Chang received $688,196 from the National Cancer Institute, a division of NIH, from 2018 to 2019 for “Targeting metformin-directed stem cell fate in triple negative breast cancer.” The other grant ORI says was submitted in 2014 and funded, “Targeting cell polarity machinery to exhaust breast cancer stem cell pool,” does not show up in NIH RePorter. The rest of the grants were not approved. 

We found a Chun-Ju Chang who is dean of the College of Life Sciences at China Medical University in Taiwan and has published papers with a group that Chun-Ju Chang at Purdue also published with. She did not immediately respond to our request for comment. 

ORI’s finding also stated Dr. Chang faked data in two papers supported by government funding by reusing figures reporting gene expression in mice and cells after drug treatments, relabeling them to say they showed the results of different experiments. According to the agency, she has agreed to request corrections for the papers: 

Leptin–STAT3–G9a Signaling Promotes Obesity-Mediated Breast Cancer Progression,” published in May 2015 in Cancer Research and cited 83 times, according to Clarivate’s Web of Science. 

Retinoic acid directs breast cancer cell state changes through regulation of TET2-PKC-zeta pathway,” published in February 2017 in Oncogene and cited 26 times. 

Between the two papers and 15 of the grant applications, ORI said that Dr. Chang reused gene expression data, sometimes with manipulation, in 119 figure panels. She reused other types of data and images in hundreds of figures across multiple grant applications, ORI found. 

As well as correcting the two papers, Dr. Chang agreed to a 10-year ban from all federal contracting, including grant funding. She also agreed not to serve in any advisory or consulting role with the U.S. Public Health Service, which includes the NIH, for that time period.

A version of this article first appeared on Retraction Watch.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Have you heard the one about the cow in the doctor’s office?

Article Type
Changed

 

Maybe the cow was late for its appointment

It’s been a long day running the front desk at your doctor’s office. People calling in prescriptions, a million appointments, you’ve been running yourself ragged keeping things together. Finally, it’s almost closing time. The last patient of the day has just checked out and you turn back to the waiting room, expecting to see it blessedly empty.

Instead, a 650-pound cow is staring at you.

“I’m sorry, sir or madam, we’re about to close.”

Moo.
 

tilo/Thinkstock


“I understand it’s important, but seriously, the doctor’s about to …”

Moo.

“Fine, I’ll see what we can do for you. What’s your insurance?”

Moo Cross Moo Shield.

“Sorry, we don’t take that. You’ll have to go someplace else.”

This is probably not how things went down recently at Orange (Va.) Family Physicians, when they had a cow break into the office. Cows don’t have health insurance.

The intrepid bovine was being transferred to a new home when it jumped off the trailer and wandered an eighth of a mile to Orange Family Physicians, where the cow wranglers found it hanging around outside. Unfortunately, this was a smart cow, and it bolted as it saw the wranglers, crashing through the glass doors into the doctor’s office. Though neither man had ever wrangled a cow from inside a building, they ultimately secured a rope around the cow’s neck and escorted it back outside, tying it to a nearby pole to keep it from further adventures.

One of the wranglers summed up the situation quite nicely on his Facebook page: “You ain’t no cowboy if you don’t rope a calf out of a [doctor’s] office.”
 

We can see that decision in your eyes

The cliché that eyes are the windows to the soul doesn’t tell the whole story about how telling eyes really are. It’s all about how they move. In a recent study, researchers determined that a type of eye movement known as a saccade reveals your choice before you even decide.

pxfuel

Saccades involve the eyes jumping from one fixation point to another, senior author Alaa Ahmed of the University of Colorado, Boulder, explained in a statement from the university. Saccade vigor was the key in how aligned the type of decisions were made by the 22 study participants.

In the study, subjects walked on a treadmill at varied inclines for a period of time. Then they sat in front of a monitor and a high-speed camera that tracked their eye movements as the monitor presented them with a series of exercise options. The participants had only 4 seconds to choose between them.

After they made their choices, participants went back on the treadmill to perform the exercises they had chosen. The researchers found that participants’ eyes jumped between the options slowly then faster to the option they eventually picked. The more impulsive decision-makers also tended to move their eyes even more rapidly before slowing down after a decision was made, making it pretty conclusive that the eyes were revealing their choices.

The way your eyes shift gives you away without saying a thing. Might be wise, then, to wear sunglasses to your next poker tournament.
 

 

 

Let them eat soap

Okay, we admit it: LOTME spends a lot of time in the bathroom. Today, though, we’re interested in the sinks. Specifically, the P-traps under the sinks. You know, the curvy bit that keeps sewer gas from wafting back into the room?

PxHere

Well, researchers from the University of Reading (England) recently found some fungi while examining a bunch of sinks on the university’s Whiteknights campus. “It isn’t a big surprise to find fungi in a warm, wet environment. But sinks and P-traps have thus far been overlooked as potential reservoirs of these microorganisms,” they said in a written statement.

Samples collected from 289 P-traps contained “a very similar community of yeasts and molds, showing that sinks in use in public environments share a role as reservoirs of fungal organisms,” they noted.

The fungi living in the traps survived conditions with high temperatures, low pH, and little in the way of nutrients. So what were they eating? Some varieties, they said, “use detergents, found in soap, as a source of carbon-rich food.” We’ll repeat that last part: They used the soap as food.

WARNING: Rant Ahead.

There are a lot of cleaning products for sale that say they will make your home safe by killing 99.9% of germs and bacteria. Not fungi, exactly, but we’re still talking microorganisms. Molds, bacteria, and viruses are all stuff that can infect humans and make them sick.

So you kill 99.9% of them. Great, but that leaves 0.1% that you just made angry. And what do they do next? They learn to eat soap. Then University of Reading investigators find out that all the extra hand washing going on during the COVID-19 pandemic was “clogging up sinks with nasty disease-causing bacteria.”

These are microorganisms we’re talking about people. They’ve been at this for a billion years! Rats can’t beat them, cockroaches won’t stop them – Earth’s ultimate survivors are powerless against the invisible horde.

We’re doomed.

Publications
Topics
Sections

 

Maybe the cow was late for its appointment

It’s been a long day running the front desk at your doctor’s office. People calling in prescriptions, a million appointments, you’ve been running yourself ragged keeping things together. Finally, it’s almost closing time. The last patient of the day has just checked out and you turn back to the waiting room, expecting to see it blessedly empty.

Instead, a 650-pound cow is staring at you.

“I’m sorry, sir or madam, we’re about to close.”

Moo.
 

tilo/Thinkstock


“I understand it’s important, but seriously, the doctor’s about to …”

Moo.

“Fine, I’ll see what we can do for you. What’s your insurance?”

Moo Cross Moo Shield.

“Sorry, we don’t take that. You’ll have to go someplace else.”

This is probably not how things went down recently at Orange (Va.) Family Physicians, when they had a cow break into the office. Cows don’t have health insurance.

The intrepid bovine was being transferred to a new home when it jumped off the trailer and wandered an eighth of a mile to Orange Family Physicians, where the cow wranglers found it hanging around outside. Unfortunately, this was a smart cow, and it bolted as it saw the wranglers, crashing through the glass doors into the doctor’s office. Though neither man had ever wrangled a cow from inside a building, they ultimately secured a rope around the cow’s neck and escorted it back outside, tying it to a nearby pole to keep it from further adventures.

One of the wranglers summed up the situation quite nicely on his Facebook page: “You ain’t no cowboy if you don’t rope a calf out of a [doctor’s] office.”
 

We can see that decision in your eyes

The cliché that eyes are the windows to the soul doesn’t tell the whole story about how telling eyes really are. It’s all about how they move. In a recent study, researchers determined that a type of eye movement known as a saccade reveals your choice before you even decide.

pxfuel

Saccades involve the eyes jumping from one fixation point to another, senior author Alaa Ahmed of the University of Colorado, Boulder, explained in a statement from the university. Saccade vigor was the key in how aligned the type of decisions were made by the 22 study participants.

In the study, subjects walked on a treadmill at varied inclines for a period of time. Then they sat in front of a monitor and a high-speed camera that tracked their eye movements as the monitor presented them with a series of exercise options. The participants had only 4 seconds to choose between them.

After they made their choices, participants went back on the treadmill to perform the exercises they had chosen. The researchers found that participants’ eyes jumped between the options slowly then faster to the option they eventually picked. The more impulsive decision-makers also tended to move their eyes even more rapidly before slowing down after a decision was made, making it pretty conclusive that the eyes were revealing their choices.

The way your eyes shift gives you away without saying a thing. Might be wise, then, to wear sunglasses to your next poker tournament.
 

 

 

Let them eat soap

Okay, we admit it: LOTME spends a lot of time in the bathroom. Today, though, we’re interested in the sinks. Specifically, the P-traps under the sinks. You know, the curvy bit that keeps sewer gas from wafting back into the room?

PxHere

Well, researchers from the University of Reading (England) recently found some fungi while examining a bunch of sinks on the university’s Whiteknights campus. “It isn’t a big surprise to find fungi in a warm, wet environment. But sinks and P-traps have thus far been overlooked as potential reservoirs of these microorganisms,” they said in a written statement.

Samples collected from 289 P-traps contained “a very similar community of yeasts and molds, showing that sinks in use in public environments share a role as reservoirs of fungal organisms,” they noted.

The fungi living in the traps survived conditions with high temperatures, low pH, and little in the way of nutrients. So what were they eating? Some varieties, they said, “use detergents, found in soap, as a source of carbon-rich food.” We’ll repeat that last part: They used the soap as food.

WARNING: Rant Ahead.

There are a lot of cleaning products for sale that say they will make your home safe by killing 99.9% of germs and bacteria. Not fungi, exactly, but we’re still talking microorganisms. Molds, bacteria, and viruses are all stuff that can infect humans and make them sick.

So you kill 99.9% of them. Great, but that leaves 0.1% that you just made angry. And what do they do next? They learn to eat soap. Then University of Reading investigators find out that all the extra hand washing going on during the COVID-19 pandemic was “clogging up sinks with nasty disease-causing bacteria.”

These are microorganisms we’re talking about people. They’ve been at this for a billion years! Rats can’t beat them, cockroaches won’t stop them – Earth’s ultimate survivors are powerless against the invisible horde.

We’re doomed.

 

Maybe the cow was late for its appointment

It’s been a long day running the front desk at your doctor’s office. People calling in prescriptions, a million appointments, you’ve been running yourself ragged keeping things together. Finally, it’s almost closing time. The last patient of the day has just checked out and you turn back to the waiting room, expecting to see it blessedly empty.

Instead, a 650-pound cow is staring at you.

“I’m sorry, sir or madam, we’re about to close.”

Moo.
 

tilo/Thinkstock


“I understand it’s important, but seriously, the doctor’s about to …”

Moo.

“Fine, I’ll see what we can do for you. What’s your insurance?”

Moo Cross Moo Shield.

“Sorry, we don’t take that. You’ll have to go someplace else.”

This is probably not how things went down recently at Orange (Va.) Family Physicians, when they had a cow break into the office. Cows don’t have health insurance.

The intrepid bovine was being transferred to a new home when it jumped off the trailer and wandered an eighth of a mile to Orange Family Physicians, where the cow wranglers found it hanging around outside. Unfortunately, this was a smart cow, and it bolted as it saw the wranglers, crashing through the glass doors into the doctor’s office. Though neither man had ever wrangled a cow from inside a building, they ultimately secured a rope around the cow’s neck and escorted it back outside, tying it to a nearby pole to keep it from further adventures.

One of the wranglers summed up the situation quite nicely on his Facebook page: “You ain’t no cowboy if you don’t rope a calf out of a [doctor’s] office.”
 

We can see that decision in your eyes

The cliché that eyes are the windows to the soul doesn’t tell the whole story about how telling eyes really are. It’s all about how they move. In a recent study, researchers determined that a type of eye movement known as a saccade reveals your choice before you even decide.

pxfuel

Saccades involve the eyes jumping from one fixation point to another, senior author Alaa Ahmed of the University of Colorado, Boulder, explained in a statement from the university. Saccade vigor was the key in how aligned the type of decisions were made by the 22 study participants.

In the study, subjects walked on a treadmill at varied inclines for a period of time. Then they sat in front of a monitor and a high-speed camera that tracked their eye movements as the monitor presented them with a series of exercise options. The participants had only 4 seconds to choose between them.

After they made their choices, participants went back on the treadmill to perform the exercises they had chosen. The researchers found that participants’ eyes jumped between the options slowly then faster to the option they eventually picked. The more impulsive decision-makers also tended to move their eyes even more rapidly before slowing down after a decision was made, making it pretty conclusive that the eyes were revealing their choices.

The way your eyes shift gives you away without saying a thing. Might be wise, then, to wear sunglasses to your next poker tournament.
 

 

 

Let them eat soap

Okay, we admit it: LOTME spends a lot of time in the bathroom. Today, though, we’re interested in the sinks. Specifically, the P-traps under the sinks. You know, the curvy bit that keeps sewer gas from wafting back into the room?

PxHere

Well, researchers from the University of Reading (England) recently found some fungi while examining a bunch of sinks on the university’s Whiteknights campus. “It isn’t a big surprise to find fungi in a warm, wet environment. But sinks and P-traps have thus far been overlooked as potential reservoirs of these microorganisms,” they said in a written statement.

Samples collected from 289 P-traps contained “a very similar community of yeasts and molds, showing that sinks in use in public environments share a role as reservoirs of fungal organisms,” they noted.

The fungi living in the traps survived conditions with high temperatures, low pH, and little in the way of nutrients. So what were they eating? Some varieties, they said, “use detergents, found in soap, as a source of carbon-rich food.” We’ll repeat that last part: They used the soap as food.

WARNING: Rant Ahead.

There are a lot of cleaning products for sale that say they will make your home safe by killing 99.9% of germs and bacteria. Not fungi, exactly, but we’re still talking microorganisms. Molds, bacteria, and viruses are all stuff that can infect humans and make them sick.

So you kill 99.9% of them. Great, but that leaves 0.1% that you just made angry. And what do they do next? They learn to eat soap. Then University of Reading investigators find out that all the extra hand washing going on during the COVID-19 pandemic was “clogging up sinks with nasty disease-causing bacteria.”

These are microorganisms we’re talking about people. They’ve been at this for a billion years! Rats can’t beat them, cockroaches won’t stop them – Earth’s ultimate survivors are powerless against the invisible horde.

We’re doomed.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

A Novel Text Message Protocol to Improve Bowel Preparation for Outpatient Colonoscopies in Veterans

Article Type
Changed

Colorectal cancer is the third leading cause of cancer-related death in both men and women.1 Colonoscopy is the current gold standard for screening due to the ability to remove precancerous lesions but remains highly dependent on the quality of bowel preparation.2 Poor bowel preparation has been associated with impaired adenoma detection as well as increased health care utilization due to the need for a repeat colonoscopy.3

Multiple patient factors are associated with increased risk of poor bowel preparation, including age > 60 years, male sex, diabetes mellitus, and presence of a mental health diagnosis, factors that are prevalent among the veteran population.3-5 Text messages have been shown to improve the quality of bowel preparation by increasing patients' understanding and adherence with the preparation process. Improved adherence with bowel preparation directions is associated with a cleaner colon prior to colonoscopy, leading to a thorough examination. Studies using text messaging instructions prior to colonoscopies have also shown measurable improvement in adenoma detection rate, patient preparation-associated discomfort, and completion of colonoscopy.6-10

In 2016, the Veterans Health Administration (VHA) introduced Annie, one of the first automated text messaging services, named after Army Lieutenant Annie Fox, the first woman to receive the Purple Heart for combat. The Annie platform allows for notifications, instructions, and simple data collection. The development of this platform allows VHA practitioners to engage and educate veterans in a similar way to other health care systems using text messaging protocols. Annie text messages have been piloted for the use of hepatitis C treatment, demonstrating promise of improved medication adherence and patient satisfaction.11 We aimed to develop and pilot the Annie bowel preparation protocol to improve the quality of colonoscopy bowel preparation for outpatients at the Minneapolis Veterans Affairs Medical Center (MVAMC) in Minnesota. A secondary goal included measuring patient satisfaction with the text messaging instructions for outpatient colonoscopy preparation.

Methods

We conducted a single center, prospective, endoscopist-blinded, study with two 3-month long Plan-Do-Study-Act (PDSA) cycles to improve the text messaging bowel preparation protocol at MVAMC between January 2019 and April 2020. The MVAMC Institutional Review Board determined the quality improvement project was exempt. Veterans who had outpatient colonoscopies scheduled were included. Veterans undergoing inpatient colonoscopies or outpatients who could not be reached to obtain informed consent, lacked text message capability, declined participation, or required extended colonoscopy preparation were excluded. Per MVAMC procedures, extended colonoscopy preparation was provided to patients receiving general or monitored anesthesia care, with a history of poor bowel preparation, or with risk factors for poor preparation as determined by the ordering health care professional (HCP). Standard bowel preparation involves ingestion of 4 L of polyethylene glycol 3350 with electrolytes; extended bowel preparation requires ingestion of an additional 2 L to total 6 L and uses a different set of instructions. Additionally, the patient population requiring extended bowel preparation also includes patients with spinal cord injuries, who often are admitted for assistance with extended preparation. Patients who consented to receiving text messages were placed in the Annie intervention group, and all others were placed in the control group.

The control group received standardized patient education, including a mailed copy of bowel preparation instructions and a phone call from a gastroenterology service nurse about 1 to 2 weeks before the procedure. Current MVAMC standard of care involves a phone call from a nurse to confirm that patients have received the polyethylene glycol preparation solution, the mailed instructions, have an escort and transportation, and to answer any questions. Both the usual care and intervention group received the phone call. During this call, the Annie text messaging bowel preparation protocol was introduced; if the veteran chose to participate, consent and enrollment were completed.

At enrollment, patient information was manually extracted from the Computerized Patient Record System (CPRS) and entered into Annie. A brief consent note was entered in the patient’s chart acknowledging that text messages are a one-way communication and standard payment rates apply. The intervention group received a 6-day Annie text messaging protocol consisting of key standard bowel preparation steps that started 5 days before the scheduled procedure. Details of the text message script are available in the Appendix.

 

 



On the day of the colonoscopy, veterans in the intervention group were surveyed in the waiting room about their experience receiving the text messages and soliciting feedback for improvement or surveyed via telephone call within 3 days of their procedure. Patient satisfaction was quantified with a scale from 1 (low) to 10 (high), including questions about how helpful the texts were in relation to total number, timing, and content of messages as well as whether veterans would like to receive the text messages again for future procedures.

We reviewed individual charts and collected Boston Bowel Preparation Scale (BBPS) scores to determine adequate preparation. BBPS assigns a score of 0 to 3 for the right, transverse, and left colon applied upon withdrawal after flushing and suctioning have been completed.12 Adequate preparation is considered a total score of ≥ 6 with no segment scoring < 2. This method of preparation assessment is preferred due to its ability to account for difference in preparation quality among colonic segments, well-defined scoring characteristics, and several studies validating its use showing inter- and intraobserver reliability.12 Follow-up studies have shown validity of the BBPS when compared with relevant outcomes such as polyp detection rate and recommended timing for repeat procedure.13 Variables associated with poor bowel preparation (ie, gender, prior abdominal surgery, impaired mobility, high body mass index, diabetes mellitus, stroke, dementia, any neurologic diagnosis, cirrhosis, smoking, polypharmacy [> 8 active medications], and narcotic or tricyclic antidepressant medication use) were also collected through chart review.3-5 We note that immobility was defined by International Classification of Diseases (ICD)-9 and ICD-10 codes and prescriptions for assistive devices (ie, canes, wheelchairs, 4-wheeled walkers).

Veterans assent to be enrolled in Annie. After enrollment, veterans must text back a specific word response to an initial text message to receive the protocolized messages from the Annie program. A contact phone number to the gastrointestinal nurse line was provided for questions during business hours. The start date for the text message protocol is 6 days prior to the procedure date. If a patient rescheduled their colonoscopy, the Annie database was updated manually.

Statistical Analysis

We used both Pearson χ2 test and 2-sample t test analyses to compare demographic information and patient satisfaction scores between the control and intervention groups. We compared continuous BBPS scores between Annie intervention vs control group using parametric and nonparametric independent t tests using the Mann-Whitney U test. We repeated this analysis controlling for both mental health diagnoses and age using linear regression. We were unable to survey 61 of the 187 veterans who received Annie text messages. 

RESULTS

During PDSA cycles 1 and 2, 640 veterans were scheduled for outpatient colonoscopy: 453 veterans were in the control group; 187 veterans were in the intervention group, of which 126 were surveyed. A significant percentage of veterans declined participation because they felt like they did not need reinforced education; others were not eligible for Annie due to requirement for extended bowel preparation, cancelled colonoscopy, inability to physically read text messages, or lack of cell phone.

The mean (SD) age was 65 (8) years; 184 (28.8%) had a diabetes mellitus diagnosis, and the mean (SD) body mass index was 31.6 (6.4). The Annie group was slightly more likely to have mental health diagnoses and lower age compared with the control group (Table 1).

Annie text messaging instructions were associated with a higher BBPS score (8.2) compared with usual care (7.8); P = .007 using independent t test, and P = .002 using parametric independent t test. Differences between Annie and control groups remained significant after controlling for age and mental health diagnoses (P = .04)

Patient Feedback

We collected feedback from veterans after each PDSA cycle to identify areas for improvement by both in-person and telephone surveys. Based on feedback from PDSA cycle 1, we decreased the total number of text messages to create a more succinct set of instructions. The most frequently requested change involved timing the text messages to align with the exact morning a specific instruction should take place.

Patient satisfaction with the Annie text messaging service was high.

All veterans from PDSA cycle 2 wanted to receive the text messages again for future procedures, a significant improvement from PDSA cycle 1 (Table 2). Veterans most appreciated the factors of convenience and brevity; they felt much pride that their VA was making technologic advancements.

 

 

DISCUSSION

To our knowledge, this is the first report of using Annie at a VAMC for colonoscopy bowel preparation improvement. We found a statistically significant improvement in the average BBPS in those receiving Annie text messages compared with the routine care control group. We also found high levels of patient satisfaction with most patients requesting to receive them again for future procedures.

The clinical significance of a BBPS of 7.8 vs 8.2 is unclear, although any score > 6 is considered to be adequate. However, subjectively speaking, the higher the BBPS the cleaner the colon, and theoretically the easier it is to see small or flat polyps. Future steps could include calculating adenoma detection rates for those enrolled in the Annie program vs the control group.

We have received inquiries regarding potential program implementation at other facilities. Success and sustainability of the program will require long-term commitment and ideally protected time for staff. It is helpful to remember that for each person who chooses to enroll in the intervention, the program currently requires that a brief consent note is placed in the patient’s chart. Thus, depending on the facilities’ resources, it is ideal for one staff member to be the designated lead to help oversee, troubleshoot, and train additional personnel. Surveys can be intermittently used to obtain feedback for improvement but are not required for sustainability. Automated text messaging is a promising addition to medicine for clinical education and communication. Future studies should examine the clinical significance (ie, adenoma detection rates) of text messaging bowel preparation protocols.

Limitations

Our study has several limitations. First, this was a single center study, thus generalizability is limited. MVAMC represents a predominantly White, male, and rural population. Second, data are likely an underestimation of the true impact of intervention, because results do not account for patients who were turned away on day of procedure (typically still reporting brown stools at time of check-in for procedure) due to poor preparation or aborted procedures secondary to poor preparation. Only about one-third of the 640 veterans opted to receive Annie text messages.

Studies have shown veterans are willing to use technology for health care; however, access to technology and lack of training remain barriers to use.14 This has been most robustly studied at the VA in veterans experiencing mental illness and homelessness. Targeted strategies to improve veteran adoption of technology within their health care include supplying veterans with cell phones and paid data plans and providing training on specific technology-based resources.15-17 Future improvement for the Annie platform should include improved integration with CPRS. Integration will facilitate automatic import of key information such as mobile phone number or colonoscopy procedure date. Unfortunately, this is not currently an automated process, and the manual workload of staff limits sustainability. Since our study ended, the Annie database now allows an “event date” to be programmed in to center the text message series around. This will be entered at the time of Annie enrollment and eliminate manual activation of the protocol. The issue of updating information for rescheduled procedures remains.

Conclusions

There is increasing evidence that automated text messaging is a promising addition to medicine for clinical education and communication. It continues to gain traction as a readily available and acceptable option, and many patients are willing to incorporate the technology platform into their care plan. We found high patient satisfaction with our protocol, and Annie patients had cleaner bowel preparations compared with control patients. Our study supports the use of text message reminders as an effective intervention for improving patient adherence with bowel preparation instructions. We suspect that creation of a text messaging protocol designed for patients requiring outpatient extended bowel preparation will yield great benefit. As technology continues to improve, future implementation of Annie text messaging will become increasingly seamless within the field of gastroenterology and beyond.

References

1. Centers for Disease Control and Prevention. Colorectal cancer statistics. Updated June 6, 2022. Accessed September 8, 2022. https://www.cdc.gov/cancer/colorectal/statistics

2. Lieberman D, Ladabaum U, Cruz-Correa M, et al. Screening for colorectal cancer and evolving issues for physicians and patients: a review. JAMA. 2016;316(20):2135-2145. doi:10.1001/jama.2016.17418

3. Nguyen DL, Wieland M. Risk factors predictive of poor quality preparation during average risk colonoscopy screening: the importance of health literacy. J Gastrointestin Liver Dis. 2010;19(4):369-372.

4. Mahmood S, Farooqui SM, Madhoun MF. Predictors of inadequate bowel preparation for colonoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2018;30(8):819-826. doi:10.1097/MEG.0000000000001175

5. Harrington KM, Nguyen XT, Song RJ, et al. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012

6. Zhang QX, Li J, Zhang Q, et al. Effect of education by messaging software on the quality of bowel preparation for colonoscopy. Chin Med J (Engl). 2018;131(14):1750-1752. doi:10.4103/0366-6999.235881

7. Walter B, Klare P, Strehle K, et al. Improving the quality and acceptance of colonoscopy preparation by reinforced patient education with short message service: results from a randomized, multicenter study (PERICLES-II). Gastrointest Endosc. 2019;89(3):506-513.e4. doi:10.1016/j.gie.2018.08.014

8. Nadim MM, Doshi S, Coniglio M, et al. Automated text message navigation to improve preparation quality and show rate for colonoscopy. Am J Gastroenterol. 2018;113:S64-S66.

9. Walter B, Frank R, Ludwig L, et al. Smartphone application to reinforce education increases high-quality preparation for colorectal cancer screening colonoscopies in a randomized trial. Clin Gastroenterol Hepatol. 2021;19(2):331-338.e5. doi:10.1016/j.cgh.2020.03.051

10. Guo B, Zuo X, Li Z, et al. Improving the quality of bowel preparation through an app for inpatients undergoing colonoscopy: a randomized controlled trial. J Adv Nurs. 2020;76(4):1037-1045. doi:10.1111/jan.14295

11. Yakovchenko V, Hogan TP, Houston TK, et al. Automated text messaging with patients in department of veterans affairs specialty clinics: cluster randomized trial. J Med Internet Res. 2019;21(8):e14750. doi:10.2196/14750

12. Lai EJ, Calderwood AH, Doros G, Fix OK, Jacobson BC. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research. Gastrointest Endosc. 2009;69(3 Pt 2):620-625. doi:10.1016/j.gie.2008.05.057

13. Calderwood AH, Jacobson BC. Comprehensive validation of the Boston Bowel Preparation Scale. Gastrointest Endosc. 2010;72(4):686-692. doi:10.1016/j.gie.2010.06.068

14. Duan-Porter W, Van Houtven CH, Mahanna EP, et al. Internet use and technology-related attitudes of veterans and informal caregivers of veterans. Telemed J E Health. 2018;24(7):471-480. doi:10.1089/tmj.2017.0015

15. Boston University School of Public Health. how mobile technology can increase veteran healthcare and wellbeing. November 10, 2021. Accessed November 1, 2022. https://www.ideahub.org/research-data/how-mobile-technology-increases-veteran-healthcare-and-wellbeing/

16. Klee A, Stacy M, Rosenheck R, Harkness L, Tsai J. Interest in technology-based therapies hampered by access: A survey of veterans with serious mental illnesses. Psychiatr Rehabil J. 2016;39(2):173-179. doi:10.1037/prj0000180

17. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016;18(6):e135. Published 2016 Jun 10. doi:10.2196/jmir.5066

Article PDF
Author and Disclosure Information

Susan Lou, MDa,b; Morgan Freeman, MDa,b; Nicha Wongjarupong, MDa,b; Anders Westanmo, PharmD, MBAb; Amy Gravely, MAb; Shahnaz Sultan, MD, MHSca,b; Aasma Shaukat, MD, MPHc,d
Correspondence:
Aasma Shaukat (aasma.shaukat@va.gov)

aUniversity of Minnesota, Minneapolis
bMinneapolis Veterans Affairs Medical Center, Minnesota
cVeterans Affairs New York Harbor Health Care System, New York City
dNew York University Grossman School of Medicine, New York City

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article. This research was supported by the Center for Care Delivery and Outcomes Research (CIN 13-406), Minneapolis, Minnesota. Additional funding was provided by the Steve and Alex Cohen Foundation.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

The study was deemed exempt by the Minneapolis Veterans Affairs Medical Center Institutional Review Board.

Issue
Federal Practitioner - 39(12)a
Publications
Topics
Page Number
470-475
Sections
Author and Disclosure Information

Susan Lou, MDa,b; Morgan Freeman, MDa,b; Nicha Wongjarupong, MDa,b; Anders Westanmo, PharmD, MBAb; Amy Gravely, MAb; Shahnaz Sultan, MD, MHSca,b; Aasma Shaukat, MD, MPHc,d
Correspondence:
Aasma Shaukat (aasma.shaukat@va.gov)

aUniversity of Minnesota, Minneapolis
bMinneapolis Veterans Affairs Medical Center, Minnesota
cVeterans Affairs New York Harbor Health Care System, New York City
dNew York University Grossman School of Medicine, New York City

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article. This research was supported by the Center for Care Delivery and Outcomes Research (CIN 13-406), Minneapolis, Minnesota. Additional funding was provided by the Steve and Alex Cohen Foundation.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

The study was deemed exempt by the Minneapolis Veterans Affairs Medical Center Institutional Review Board.

Author and Disclosure Information

Susan Lou, MDa,b; Morgan Freeman, MDa,b; Nicha Wongjarupong, MDa,b; Anders Westanmo, PharmD, MBAb; Amy Gravely, MAb; Shahnaz Sultan, MD, MHSca,b; Aasma Shaukat, MD, MPHc,d
Correspondence:
Aasma Shaukat (aasma.shaukat@va.gov)

aUniversity of Minnesota, Minneapolis
bMinneapolis Veterans Affairs Medical Center, Minnesota
cVeterans Affairs New York Harbor Health Care System, New York City
dNew York University Grossman School of Medicine, New York City

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article. This research was supported by the Center for Care Delivery and Outcomes Research (CIN 13-406), Minneapolis, Minnesota. Additional funding was provided by the Steve and Alex Cohen Foundation.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

The study was deemed exempt by the Minneapolis Veterans Affairs Medical Center Institutional Review Board.

Article PDF
Article PDF

Colorectal cancer is the third leading cause of cancer-related death in both men and women.1 Colonoscopy is the current gold standard for screening due to the ability to remove precancerous lesions but remains highly dependent on the quality of bowel preparation.2 Poor bowel preparation has been associated with impaired adenoma detection as well as increased health care utilization due to the need for a repeat colonoscopy.3

Multiple patient factors are associated with increased risk of poor bowel preparation, including age > 60 years, male sex, diabetes mellitus, and presence of a mental health diagnosis, factors that are prevalent among the veteran population.3-5 Text messages have been shown to improve the quality of bowel preparation by increasing patients' understanding and adherence with the preparation process. Improved adherence with bowel preparation directions is associated with a cleaner colon prior to colonoscopy, leading to a thorough examination. Studies using text messaging instructions prior to colonoscopies have also shown measurable improvement in adenoma detection rate, patient preparation-associated discomfort, and completion of colonoscopy.6-10

In 2016, the Veterans Health Administration (VHA) introduced Annie, one of the first automated text messaging services, named after Army Lieutenant Annie Fox, the first woman to receive the Purple Heart for combat. The Annie platform allows for notifications, instructions, and simple data collection. The development of this platform allows VHA practitioners to engage and educate veterans in a similar way to other health care systems using text messaging protocols. Annie text messages have been piloted for the use of hepatitis C treatment, demonstrating promise of improved medication adherence and patient satisfaction.11 We aimed to develop and pilot the Annie bowel preparation protocol to improve the quality of colonoscopy bowel preparation for outpatients at the Minneapolis Veterans Affairs Medical Center (MVAMC) in Minnesota. A secondary goal included measuring patient satisfaction with the text messaging instructions for outpatient colonoscopy preparation.

Methods

We conducted a single center, prospective, endoscopist-blinded, study with two 3-month long Plan-Do-Study-Act (PDSA) cycles to improve the text messaging bowel preparation protocol at MVAMC between January 2019 and April 2020. The MVAMC Institutional Review Board determined the quality improvement project was exempt. Veterans who had outpatient colonoscopies scheduled were included. Veterans undergoing inpatient colonoscopies or outpatients who could not be reached to obtain informed consent, lacked text message capability, declined participation, or required extended colonoscopy preparation were excluded. Per MVAMC procedures, extended colonoscopy preparation was provided to patients receiving general or monitored anesthesia care, with a history of poor bowel preparation, or with risk factors for poor preparation as determined by the ordering health care professional (HCP). Standard bowel preparation involves ingestion of 4 L of polyethylene glycol 3350 with electrolytes; extended bowel preparation requires ingestion of an additional 2 L to total 6 L and uses a different set of instructions. Additionally, the patient population requiring extended bowel preparation also includes patients with spinal cord injuries, who often are admitted for assistance with extended preparation. Patients who consented to receiving text messages were placed in the Annie intervention group, and all others were placed in the control group.

The control group received standardized patient education, including a mailed copy of bowel preparation instructions and a phone call from a gastroenterology service nurse about 1 to 2 weeks before the procedure. Current MVAMC standard of care involves a phone call from a nurse to confirm that patients have received the polyethylene glycol preparation solution, the mailed instructions, have an escort and transportation, and to answer any questions. Both the usual care and intervention group received the phone call. During this call, the Annie text messaging bowel preparation protocol was introduced; if the veteran chose to participate, consent and enrollment were completed.

At enrollment, patient information was manually extracted from the Computerized Patient Record System (CPRS) and entered into Annie. A brief consent note was entered in the patient’s chart acknowledging that text messages are a one-way communication and standard payment rates apply. The intervention group received a 6-day Annie text messaging protocol consisting of key standard bowel preparation steps that started 5 days before the scheduled procedure. Details of the text message script are available in the Appendix.

 

 



On the day of the colonoscopy, veterans in the intervention group were surveyed in the waiting room about their experience receiving the text messages and soliciting feedback for improvement or surveyed via telephone call within 3 days of their procedure. Patient satisfaction was quantified with a scale from 1 (low) to 10 (high), including questions about how helpful the texts were in relation to total number, timing, and content of messages as well as whether veterans would like to receive the text messages again for future procedures.

We reviewed individual charts and collected Boston Bowel Preparation Scale (BBPS) scores to determine adequate preparation. BBPS assigns a score of 0 to 3 for the right, transverse, and left colon applied upon withdrawal after flushing and suctioning have been completed.12 Adequate preparation is considered a total score of ≥ 6 with no segment scoring < 2. This method of preparation assessment is preferred due to its ability to account for difference in preparation quality among colonic segments, well-defined scoring characteristics, and several studies validating its use showing inter- and intraobserver reliability.12 Follow-up studies have shown validity of the BBPS when compared with relevant outcomes such as polyp detection rate and recommended timing for repeat procedure.13 Variables associated with poor bowel preparation (ie, gender, prior abdominal surgery, impaired mobility, high body mass index, diabetes mellitus, stroke, dementia, any neurologic diagnosis, cirrhosis, smoking, polypharmacy [> 8 active medications], and narcotic or tricyclic antidepressant medication use) were also collected through chart review.3-5 We note that immobility was defined by International Classification of Diseases (ICD)-9 and ICD-10 codes and prescriptions for assistive devices (ie, canes, wheelchairs, 4-wheeled walkers).

Veterans assent to be enrolled in Annie. After enrollment, veterans must text back a specific word response to an initial text message to receive the protocolized messages from the Annie program. A contact phone number to the gastrointestinal nurse line was provided for questions during business hours. The start date for the text message protocol is 6 days prior to the procedure date. If a patient rescheduled their colonoscopy, the Annie database was updated manually.

Statistical Analysis

We used both Pearson χ2 test and 2-sample t test analyses to compare demographic information and patient satisfaction scores between the control and intervention groups. We compared continuous BBPS scores between Annie intervention vs control group using parametric and nonparametric independent t tests using the Mann-Whitney U test. We repeated this analysis controlling for both mental health diagnoses and age using linear regression. We were unable to survey 61 of the 187 veterans who received Annie text messages. 

RESULTS

During PDSA cycles 1 and 2, 640 veterans were scheduled for outpatient colonoscopy: 453 veterans were in the control group; 187 veterans were in the intervention group, of which 126 were surveyed. A significant percentage of veterans declined participation because they felt like they did not need reinforced education; others were not eligible for Annie due to requirement for extended bowel preparation, cancelled colonoscopy, inability to physically read text messages, or lack of cell phone.

The mean (SD) age was 65 (8) years; 184 (28.8%) had a diabetes mellitus diagnosis, and the mean (SD) body mass index was 31.6 (6.4). The Annie group was slightly more likely to have mental health diagnoses and lower age compared with the control group (Table 1).

Annie text messaging instructions were associated with a higher BBPS score (8.2) compared with usual care (7.8); P = .007 using independent t test, and P = .002 using parametric independent t test. Differences between Annie and control groups remained significant after controlling for age and mental health diagnoses (P = .04)

Patient Feedback

We collected feedback from veterans after each PDSA cycle to identify areas for improvement by both in-person and telephone surveys. Based on feedback from PDSA cycle 1, we decreased the total number of text messages to create a more succinct set of instructions. The most frequently requested change involved timing the text messages to align with the exact morning a specific instruction should take place.

Patient satisfaction with the Annie text messaging service was high.

All veterans from PDSA cycle 2 wanted to receive the text messages again for future procedures, a significant improvement from PDSA cycle 1 (Table 2). Veterans most appreciated the factors of convenience and brevity; they felt much pride that their VA was making technologic advancements.

 

 

DISCUSSION

To our knowledge, this is the first report of using Annie at a VAMC for colonoscopy bowel preparation improvement. We found a statistically significant improvement in the average BBPS in those receiving Annie text messages compared with the routine care control group. We also found high levels of patient satisfaction with most patients requesting to receive them again for future procedures.

The clinical significance of a BBPS of 7.8 vs 8.2 is unclear, although any score > 6 is considered to be adequate. However, subjectively speaking, the higher the BBPS the cleaner the colon, and theoretically the easier it is to see small or flat polyps. Future steps could include calculating adenoma detection rates for those enrolled in the Annie program vs the control group.

We have received inquiries regarding potential program implementation at other facilities. Success and sustainability of the program will require long-term commitment and ideally protected time for staff. It is helpful to remember that for each person who chooses to enroll in the intervention, the program currently requires that a brief consent note is placed in the patient’s chart. Thus, depending on the facilities’ resources, it is ideal for one staff member to be the designated lead to help oversee, troubleshoot, and train additional personnel. Surveys can be intermittently used to obtain feedback for improvement but are not required for sustainability. Automated text messaging is a promising addition to medicine for clinical education and communication. Future studies should examine the clinical significance (ie, adenoma detection rates) of text messaging bowel preparation protocols.

Limitations

Our study has several limitations. First, this was a single center study, thus generalizability is limited. MVAMC represents a predominantly White, male, and rural population. Second, data are likely an underestimation of the true impact of intervention, because results do not account for patients who were turned away on day of procedure (typically still reporting brown stools at time of check-in for procedure) due to poor preparation or aborted procedures secondary to poor preparation. Only about one-third of the 640 veterans opted to receive Annie text messages.

Studies have shown veterans are willing to use technology for health care; however, access to technology and lack of training remain barriers to use.14 This has been most robustly studied at the VA in veterans experiencing mental illness and homelessness. Targeted strategies to improve veteran adoption of technology within their health care include supplying veterans with cell phones and paid data plans and providing training on specific technology-based resources.15-17 Future improvement for the Annie platform should include improved integration with CPRS. Integration will facilitate automatic import of key information such as mobile phone number or colonoscopy procedure date. Unfortunately, this is not currently an automated process, and the manual workload of staff limits sustainability. Since our study ended, the Annie database now allows an “event date” to be programmed in to center the text message series around. This will be entered at the time of Annie enrollment and eliminate manual activation of the protocol. The issue of updating information for rescheduled procedures remains.

Conclusions

There is increasing evidence that automated text messaging is a promising addition to medicine for clinical education and communication. It continues to gain traction as a readily available and acceptable option, and many patients are willing to incorporate the technology platform into their care plan. We found high patient satisfaction with our protocol, and Annie patients had cleaner bowel preparations compared with control patients. Our study supports the use of text message reminders as an effective intervention for improving patient adherence with bowel preparation instructions. We suspect that creation of a text messaging protocol designed for patients requiring outpatient extended bowel preparation will yield great benefit. As technology continues to improve, future implementation of Annie text messaging will become increasingly seamless within the field of gastroenterology and beyond.

Colorectal cancer is the third leading cause of cancer-related death in both men and women.1 Colonoscopy is the current gold standard for screening due to the ability to remove precancerous lesions but remains highly dependent on the quality of bowel preparation.2 Poor bowel preparation has been associated with impaired adenoma detection as well as increased health care utilization due to the need for a repeat colonoscopy.3

Multiple patient factors are associated with increased risk of poor bowel preparation, including age > 60 years, male sex, diabetes mellitus, and presence of a mental health diagnosis, factors that are prevalent among the veteran population.3-5 Text messages have been shown to improve the quality of bowel preparation by increasing patients' understanding and adherence with the preparation process. Improved adherence with bowel preparation directions is associated with a cleaner colon prior to colonoscopy, leading to a thorough examination. Studies using text messaging instructions prior to colonoscopies have also shown measurable improvement in adenoma detection rate, patient preparation-associated discomfort, and completion of colonoscopy.6-10

In 2016, the Veterans Health Administration (VHA) introduced Annie, one of the first automated text messaging services, named after Army Lieutenant Annie Fox, the first woman to receive the Purple Heart for combat. The Annie platform allows for notifications, instructions, and simple data collection. The development of this platform allows VHA practitioners to engage and educate veterans in a similar way to other health care systems using text messaging protocols. Annie text messages have been piloted for the use of hepatitis C treatment, demonstrating promise of improved medication adherence and patient satisfaction.11 We aimed to develop and pilot the Annie bowel preparation protocol to improve the quality of colonoscopy bowel preparation for outpatients at the Minneapolis Veterans Affairs Medical Center (MVAMC) in Minnesota. A secondary goal included measuring patient satisfaction with the text messaging instructions for outpatient colonoscopy preparation.

Methods

We conducted a single center, prospective, endoscopist-blinded, study with two 3-month long Plan-Do-Study-Act (PDSA) cycles to improve the text messaging bowel preparation protocol at MVAMC between January 2019 and April 2020. The MVAMC Institutional Review Board determined the quality improvement project was exempt. Veterans who had outpatient colonoscopies scheduled were included. Veterans undergoing inpatient colonoscopies or outpatients who could not be reached to obtain informed consent, lacked text message capability, declined participation, or required extended colonoscopy preparation were excluded. Per MVAMC procedures, extended colonoscopy preparation was provided to patients receiving general or monitored anesthesia care, with a history of poor bowel preparation, or with risk factors for poor preparation as determined by the ordering health care professional (HCP). Standard bowel preparation involves ingestion of 4 L of polyethylene glycol 3350 with electrolytes; extended bowel preparation requires ingestion of an additional 2 L to total 6 L and uses a different set of instructions. Additionally, the patient population requiring extended bowel preparation also includes patients with spinal cord injuries, who often are admitted for assistance with extended preparation. Patients who consented to receiving text messages were placed in the Annie intervention group, and all others were placed in the control group.

The control group received standardized patient education, including a mailed copy of bowel preparation instructions and a phone call from a gastroenterology service nurse about 1 to 2 weeks before the procedure. Current MVAMC standard of care involves a phone call from a nurse to confirm that patients have received the polyethylene glycol preparation solution, the mailed instructions, have an escort and transportation, and to answer any questions. Both the usual care and intervention group received the phone call. During this call, the Annie text messaging bowel preparation protocol was introduced; if the veteran chose to participate, consent and enrollment were completed.

At enrollment, patient information was manually extracted from the Computerized Patient Record System (CPRS) and entered into Annie. A brief consent note was entered in the patient’s chart acknowledging that text messages are a one-way communication and standard payment rates apply. The intervention group received a 6-day Annie text messaging protocol consisting of key standard bowel preparation steps that started 5 days before the scheduled procedure. Details of the text message script are available in the Appendix.

 

 



On the day of the colonoscopy, veterans in the intervention group were surveyed in the waiting room about their experience receiving the text messages and soliciting feedback for improvement or surveyed via telephone call within 3 days of their procedure. Patient satisfaction was quantified with a scale from 1 (low) to 10 (high), including questions about how helpful the texts were in relation to total number, timing, and content of messages as well as whether veterans would like to receive the text messages again for future procedures.

We reviewed individual charts and collected Boston Bowel Preparation Scale (BBPS) scores to determine adequate preparation. BBPS assigns a score of 0 to 3 for the right, transverse, and left colon applied upon withdrawal after flushing and suctioning have been completed.12 Adequate preparation is considered a total score of ≥ 6 with no segment scoring < 2. This method of preparation assessment is preferred due to its ability to account for difference in preparation quality among colonic segments, well-defined scoring characteristics, and several studies validating its use showing inter- and intraobserver reliability.12 Follow-up studies have shown validity of the BBPS when compared with relevant outcomes such as polyp detection rate and recommended timing for repeat procedure.13 Variables associated with poor bowel preparation (ie, gender, prior abdominal surgery, impaired mobility, high body mass index, diabetes mellitus, stroke, dementia, any neurologic diagnosis, cirrhosis, smoking, polypharmacy [> 8 active medications], and narcotic or tricyclic antidepressant medication use) were also collected through chart review.3-5 We note that immobility was defined by International Classification of Diseases (ICD)-9 and ICD-10 codes and prescriptions for assistive devices (ie, canes, wheelchairs, 4-wheeled walkers).

Veterans assent to be enrolled in Annie. After enrollment, veterans must text back a specific word response to an initial text message to receive the protocolized messages from the Annie program. A contact phone number to the gastrointestinal nurse line was provided for questions during business hours. The start date for the text message protocol is 6 days prior to the procedure date. If a patient rescheduled their colonoscopy, the Annie database was updated manually.

Statistical Analysis

We used both Pearson χ2 test and 2-sample t test analyses to compare demographic information and patient satisfaction scores between the control and intervention groups. We compared continuous BBPS scores between Annie intervention vs control group using parametric and nonparametric independent t tests using the Mann-Whitney U test. We repeated this analysis controlling for both mental health diagnoses and age using linear regression. We were unable to survey 61 of the 187 veterans who received Annie text messages. 

RESULTS

During PDSA cycles 1 and 2, 640 veterans were scheduled for outpatient colonoscopy: 453 veterans were in the control group; 187 veterans were in the intervention group, of which 126 were surveyed. A significant percentage of veterans declined participation because they felt like they did not need reinforced education; others were not eligible for Annie due to requirement for extended bowel preparation, cancelled colonoscopy, inability to physically read text messages, or lack of cell phone.

The mean (SD) age was 65 (8) years; 184 (28.8%) had a diabetes mellitus diagnosis, and the mean (SD) body mass index was 31.6 (6.4). The Annie group was slightly more likely to have mental health diagnoses and lower age compared with the control group (Table 1).

Annie text messaging instructions were associated with a higher BBPS score (8.2) compared with usual care (7.8); P = .007 using independent t test, and P = .002 using parametric independent t test. Differences between Annie and control groups remained significant after controlling for age and mental health diagnoses (P = .04)

Patient Feedback

We collected feedback from veterans after each PDSA cycle to identify areas for improvement by both in-person and telephone surveys. Based on feedback from PDSA cycle 1, we decreased the total number of text messages to create a more succinct set of instructions. The most frequently requested change involved timing the text messages to align with the exact morning a specific instruction should take place.

Patient satisfaction with the Annie text messaging service was high.

All veterans from PDSA cycle 2 wanted to receive the text messages again for future procedures, a significant improvement from PDSA cycle 1 (Table 2). Veterans most appreciated the factors of convenience and brevity; they felt much pride that their VA was making technologic advancements.

 

 

DISCUSSION

To our knowledge, this is the first report of using Annie at a VAMC for colonoscopy bowel preparation improvement. We found a statistically significant improvement in the average BBPS in those receiving Annie text messages compared with the routine care control group. We also found high levels of patient satisfaction with most patients requesting to receive them again for future procedures.

The clinical significance of a BBPS of 7.8 vs 8.2 is unclear, although any score > 6 is considered to be adequate. However, subjectively speaking, the higher the BBPS the cleaner the colon, and theoretically the easier it is to see small or flat polyps. Future steps could include calculating adenoma detection rates for those enrolled in the Annie program vs the control group.

We have received inquiries regarding potential program implementation at other facilities. Success and sustainability of the program will require long-term commitment and ideally protected time for staff. It is helpful to remember that for each person who chooses to enroll in the intervention, the program currently requires that a brief consent note is placed in the patient’s chart. Thus, depending on the facilities’ resources, it is ideal for one staff member to be the designated lead to help oversee, troubleshoot, and train additional personnel. Surveys can be intermittently used to obtain feedback for improvement but are not required for sustainability. Automated text messaging is a promising addition to medicine for clinical education and communication. Future studies should examine the clinical significance (ie, adenoma detection rates) of text messaging bowel preparation protocols.

Limitations

Our study has several limitations. First, this was a single center study, thus generalizability is limited. MVAMC represents a predominantly White, male, and rural population. Second, data are likely an underestimation of the true impact of intervention, because results do not account for patients who were turned away on day of procedure (typically still reporting brown stools at time of check-in for procedure) due to poor preparation or aborted procedures secondary to poor preparation. Only about one-third of the 640 veterans opted to receive Annie text messages.

Studies have shown veterans are willing to use technology for health care; however, access to technology and lack of training remain barriers to use.14 This has been most robustly studied at the VA in veterans experiencing mental illness and homelessness. Targeted strategies to improve veteran adoption of technology within their health care include supplying veterans with cell phones and paid data plans and providing training on specific technology-based resources.15-17 Future improvement for the Annie platform should include improved integration with CPRS. Integration will facilitate automatic import of key information such as mobile phone number or colonoscopy procedure date. Unfortunately, this is not currently an automated process, and the manual workload of staff limits sustainability. Since our study ended, the Annie database now allows an “event date” to be programmed in to center the text message series around. This will be entered at the time of Annie enrollment and eliminate manual activation of the protocol. The issue of updating information for rescheduled procedures remains.

Conclusions

There is increasing evidence that automated text messaging is a promising addition to medicine for clinical education and communication. It continues to gain traction as a readily available and acceptable option, and many patients are willing to incorporate the technology platform into their care plan. We found high patient satisfaction with our protocol, and Annie patients had cleaner bowel preparations compared with control patients. Our study supports the use of text message reminders as an effective intervention for improving patient adherence with bowel preparation instructions. We suspect that creation of a text messaging protocol designed for patients requiring outpatient extended bowel preparation will yield great benefit. As technology continues to improve, future implementation of Annie text messaging will become increasingly seamless within the field of gastroenterology and beyond.

References

1. Centers for Disease Control and Prevention. Colorectal cancer statistics. Updated June 6, 2022. Accessed September 8, 2022. https://www.cdc.gov/cancer/colorectal/statistics

2. Lieberman D, Ladabaum U, Cruz-Correa M, et al. Screening for colorectal cancer and evolving issues for physicians and patients: a review. JAMA. 2016;316(20):2135-2145. doi:10.1001/jama.2016.17418

3. Nguyen DL, Wieland M. Risk factors predictive of poor quality preparation during average risk colonoscopy screening: the importance of health literacy. J Gastrointestin Liver Dis. 2010;19(4):369-372.

4. Mahmood S, Farooqui SM, Madhoun MF. Predictors of inadequate bowel preparation for colonoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2018;30(8):819-826. doi:10.1097/MEG.0000000000001175

5. Harrington KM, Nguyen XT, Song RJ, et al. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012

6. Zhang QX, Li J, Zhang Q, et al. Effect of education by messaging software on the quality of bowel preparation for colonoscopy. Chin Med J (Engl). 2018;131(14):1750-1752. doi:10.4103/0366-6999.235881

7. Walter B, Klare P, Strehle K, et al. Improving the quality and acceptance of colonoscopy preparation by reinforced patient education with short message service: results from a randomized, multicenter study (PERICLES-II). Gastrointest Endosc. 2019;89(3):506-513.e4. doi:10.1016/j.gie.2018.08.014

8. Nadim MM, Doshi S, Coniglio M, et al. Automated text message navigation to improve preparation quality and show rate for colonoscopy. Am J Gastroenterol. 2018;113:S64-S66.

9. Walter B, Frank R, Ludwig L, et al. Smartphone application to reinforce education increases high-quality preparation for colorectal cancer screening colonoscopies in a randomized trial. Clin Gastroenterol Hepatol. 2021;19(2):331-338.e5. doi:10.1016/j.cgh.2020.03.051

10. Guo B, Zuo X, Li Z, et al. Improving the quality of bowel preparation through an app for inpatients undergoing colonoscopy: a randomized controlled trial. J Adv Nurs. 2020;76(4):1037-1045. doi:10.1111/jan.14295

11. Yakovchenko V, Hogan TP, Houston TK, et al. Automated text messaging with patients in department of veterans affairs specialty clinics: cluster randomized trial. J Med Internet Res. 2019;21(8):e14750. doi:10.2196/14750

12. Lai EJ, Calderwood AH, Doros G, Fix OK, Jacobson BC. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research. Gastrointest Endosc. 2009;69(3 Pt 2):620-625. doi:10.1016/j.gie.2008.05.057

13. Calderwood AH, Jacobson BC. Comprehensive validation of the Boston Bowel Preparation Scale. Gastrointest Endosc. 2010;72(4):686-692. doi:10.1016/j.gie.2010.06.068

14. Duan-Porter W, Van Houtven CH, Mahanna EP, et al. Internet use and technology-related attitudes of veterans and informal caregivers of veterans. Telemed J E Health. 2018;24(7):471-480. doi:10.1089/tmj.2017.0015

15. Boston University School of Public Health. how mobile technology can increase veteran healthcare and wellbeing. November 10, 2021. Accessed November 1, 2022. https://www.ideahub.org/research-data/how-mobile-technology-increases-veteran-healthcare-and-wellbeing/

16. Klee A, Stacy M, Rosenheck R, Harkness L, Tsai J. Interest in technology-based therapies hampered by access: A survey of veterans with serious mental illnesses. Psychiatr Rehabil J. 2016;39(2):173-179. doi:10.1037/prj0000180

17. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016;18(6):e135. Published 2016 Jun 10. doi:10.2196/jmir.5066

References

1. Centers for Disease Control and Prevention. Colorectal cancer statistics. Updated June 6, 2022. Accessed September 8, 2022. https://www.cdc.gov/cancer/colorectal/statistics

2. Lieberman D, Ladabaum U, Cruz-Correa M, et al. Screening for colorectal cancer and evolving issues for physicians and patients: a review. JAMA. 2016;316(20):2135-2145. doi:10.1001/jama.2016.17418

3. Nguyen DL, Wieland M. Risk factors predictive of poor quality preparation during average risk colonoscopy screening: the importance of health literacy. J Gastrointestin Liver Dis. 2010;19(4):369-372.

4. Mahmood S, Farooqui SM, Madhoun MF. Predictors of inadequate bowel preparation for colonoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2018;30(8):819-826. doi:10.1097/MEG.0000000000001175

5. Harrington KM, Nguyen XT, Song RJ, et al. Gender differences in demographic and health characteristics of the Million Veteran Program cohort. Womens Health Issues. 2019;29(suppl 1):S56-S66. doi:10.1016/j.whi.2019.04.012

6. Zhang QX, Li J, Zhang Q, et al. Effect of education by messaging software on the quality of bowel preparation for colonoscopy. Chin Med J (Engl). 2018;131(14):1750-1752. doi:10.4103/0366-6999.235881

7. Walter B, Klare P, Strehle K, et al. Improving the quality and acceptance of colonoscopy preparation by reinforced patient education with short message service: results from a randomized, multicenter study (PERICLES-II). Gastrointest Endosc. 2019;89(3):506-513.e4. doi:10.1016/j.gie.2018.08.014

8. Nadim MM, Doshi S, Coniglio M, et al. Automated text message navigation to improve preparation quality and show rate for colonoscopy. Am J Gastroenterol. 2018;113:S64-S66.

9. Walter B, Frank R, Ludwig L, et al. Smartphone application to reinforce education increases high-quality preparation for colorectal cancer screening colonoscopies in a randomized trial. Clin Gastroenterol Hepatol. 2021;19(2):331-338.e5. doi:10.1016/j.cgh.2020.03.051

10. Guo B, Zuo X, Li Z, et al. Improving the quality of bowel preparation through an app for inpatients undergoing colonoscopy: a randomized controlled trial. J Adv Nurs. 2020;76(4):1037-1045. doi:10.1111/jan.14295

11. Yakovchenko V, Hogan TP, Houston TK, et al. Automated text messaging with patients in department of veterans affairs specialty clinics: cluster randomized trial. J Med Internet Res. 2019;21(8):e14750. doi:10.2196/14750

12. Lai EJ, Calderwood AH, Doros G, Fix OK, Jacobson BC. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research. Gastrointest Endosc. 2009;69(3 Pt 2):620-625. doi:10.1016/j.gie.2008.05.057

13. Calderwood AH, Jacobson BC. Comprehensive validation of the Boston Bowel Preparation Scale. Gastrointest Endosc. 2010;72(4):686-692. doi:10.1016/j.gie.2010.06.068

14. Duan-Porter W, Van Houtven CH, Mahanna EP, et al. Internet use and technology-related attitudes of veterans and informal caregivers of veterans. Telemed J E Health. 2018;24(7):471-480. doi:10.1089/tmj.2017.0015

15. Boston University School of Public Health. how mobile technology can increase veteran healthcare and wellbeing. November 10, 2021. Accessed November 1, 2022. https://www.ideahub.org/research-data/how-mobile-technology-increases-veteran-healthcare-and-wellbeing/

16. Klee A, Stacy M, Rosenheck R, Harkness L, Tsai J. Interest in technology-based therapies hampered by access: A survey of veterans with serious mental illnesses. Psychiatr Rehabil J. 2016;39(2):173-179. doi:10.1037/prj0000180

17. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016;18(6):e135. Published 2016 Jun 10. doi:10.2196/jmir.5066

Issue
Federal Practitioner - 39(12)a
Issue
Federal Practitioner - 39(12)a
Page Number
470-475
Page Number
470-475
Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Doctors of Virtue and Vice: The Best and Worst of Federal Practice in 2023

Article Type
Changed

Regular readers of Federal Practitioner may recall that I have had a tradition of dedicating the last column of the year to an ethics rendition of the popular trope of the annual best and worst. This year we will examine the stories of 2 military physicians through the lens of virtue ethics. Aristotle (384-322 bce), arguably the most famous Western philosopher, is the acknowledged founder of virtue ethics.

Virtue ethics is among the oldest of ethical theories, and Aristotle articulates this school of thought in his work Nicomachean Ethics.2 It is a good fit for Federal Practitioner as it has been constructively applied to the moral development of both military3 and medical professionals.4

Here is a Reader’s Digest version of virtue theory with apologizes to all the real philosophers out there. There are different ways to categorize ethical theories. One approach is to distinguish them based on the aspects of primary interest. Consequentialist ethics theories are concerned with the outcomes of actions. Deontologic theories emphasize the intention of the moral agent. In contrast, virtue ethics theories focus on the character of a person. The virtuous individual is one who has practiced the habits of moral excellence and embodies the good life. They are honored as heroes and revered as saints; they are the exemplars we imitate in our aspirations.3

The epigraph sums up one of Aristotle’s central philosophical doctrines: the close relationship of ethics and politics.1 Personal virtue is intelligible only in the context of community and aim, and the goal of virtue is to contribute to human happiness.5 War, whether in ancient Greece or modern Europe, is among the forces most inimical to human flourishing. The current war in Ukraine that has united much of the Western world in opposition to tyranny has divided the 2 physicians in our story along the normative lines of virtue ethics.

The doctor of virtue: Michael Siclari, MD. A 71-year-old US Department of Veterans Affairs physician, Siclari had previously served in the military as a National Guard physician during Operation Enduring Freedom (2001-2014) in Afghanistan. He decided to serve again in Ukraine. Siclari expressed his reasons for going to Ukraine in the language of what Aristotle thought was among the highest virtues: justice. “In retrospect, as I think about why I wanted to go to Ukraine, I think it’s more of a sense that I thought an injustice was happening.”7

Echoing the great Rabbi Hillel, Siclari saw the Russian invasion of Ukraine as a personal call to use his experience and training as a trauma and emergency medicine physician to help the Ukrainian people. “If not me, then who?” Siclari demonstrated another virtue: generosity in taking 10 days of personal leave in August 2022 to make the trip to Ukraine, hoping to work in a combat zone tending to wounded soldiers as he had in Afghanistan. When due to logistics he instead was assigned to care for refugees and assist with evacuations from the battlefield, he humbly and compassionately cared for those in his charge. Even now, back home, he speaks to audiences of health care professionals encouraging them to consider similar acts of altruism.5

Virtue for Aristotle is technically defined as the mean between 2 extremes of disposition or temperament. The virtue of courage is found in the moral middle ground between the deficiency of bravery that is cowardice and the vice of excess of reckless abandon. The former person fears too much and the latter too little and both thus exhibit vicious behavior.

The doctor of vice: James Lee Henry. Henry is a major and internal medicine physician in the United States Army stationed at Fort Bragg, headquarters of the US Army Special Operations Command. Along with his wife Anna Gabrielian, a civilian anesthesiologist, he was charged in September with conspiring to divulge the protected health information of American military and government employees to the Russian government.8 According to the Grand Jury indictment, Henry delivered into the hands of an undercover Federal Bureau of Investigation (FBI) agent, the medical records of a US Army officer, Department of Defense employee, and the spouses of 3 Army veterans, 2 of whom were deceased.9 In a gross twisting of virtue language, Gabrielian explained her motivation for the couple’s espionage in terms of sacrifice and loyalty. In an antipode of Siclari’s service, Henry purportedly wanted to join the Russian army but did not have the requisite combat experience. For his part, Henry’s abysmal defense of his betrayal of his country and his oath speaks for itself, if the United States were to declare war on Russia, Henry told the FBI agent, “at that point, I’ll have some ethical issues I have to work through.”8

We become virtuous people through imitating the example of those who have perfected the habits of moral excellence. During 2022, 2 federal practitioners responded to the challenge of war: one displayed the zenith of virtue, the other exhibited the nadir of vice. Seldom does a single year present us with such clear choices of who and how we want to be in 2023. American culture has so trivialized New Year’s resolutions that they are no longer substantive enough for the weight of the profound question of what constitutes the good life. Rather let us make a commitment in keeping with such morally serious matters. All of us live as mixed creatures, drawn to virtue and prone to vice. May we all strive this coming year to help each other meet the high bar another great man of virtue Abraham Lincoln set in his first inaugural address, to be the “better angels of our natures.”10

References

1. Aristotle. Politics. Book I, 1253.a31.

2. The Ethics of Aristotle. Aristotle. The Nicomachean Ethics. Thompson JAK, trans. Penguin Books; 1953.

3. Schonfeld TL, Hester DM. Brief introduction to ethics and ethical theory. In: Schonfeld TL, Hester DM, eds. Guidance for Healthcare Ethics Committees. 2nd ed. Cambridge University Press; 2022:11-19.

4. Olsthoorn P. Military Ethics and Virtues: An Interdisciplinary Approach for the 21st Century. Routledge; 2010.

5. Pellegrino ED, Thomasma DC. The Virtues in Medical Practice. Oxford University Press; 1993.

6. Edward Clayton. Aristotle Politics. In: Internet Encyclopedia of Philosophy. Accessed November 28, 2022. https://iep.utm.edu/aristotle-politics

7. Tippets R. A VA doctor’s calling to help in Ukraine. VA News. October 23, 2022. Accessed November 28, 2022. https://news.va.gov/109957/a-va-doctors-calling-to-help-in-ukraine

8. Lybrand H. US Army doctor and anesthesiologist charged with conspiring to US military records to the Russian government. CNN Politics, September 29, 2022. Accessed November 28, 2022 https://www.cnn.com/2022/09/29/politics/us-army-doctor-anesthesiologist-russian-government-medical-records

9. United States v Anna Gabrielian and James Lee Henry, (SD Md 2022). Accessed November 28, 2022. https://www.documentcloud.org/documents/23106067-gabrielian-and-henry-indictment

10. Lincoln A. First Inaugural Address of Abraham Lincoln. Accessed November 28, 2022. https://avalon.law.yale.edu/19th_century/lincoln1.asp

Article PDF
Author and Disclosure Information

Cynthia Geppert is Editor-in-Chief; Professor and Director of Ethics Education at the University of New Mexico School of Medicine in Albuquerque.
Correspondence: Cynthia Geppert (fedprac@mdedge.com)

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner , Frontline Medical Communications Inc., the US Government, or any of its agencies.

Issue
Federal Practitioner - 39(12)a
Publications
Topics
Page Number
468-469
Sections
Author and Disclosure Information

Cynthia Geppert is Editor-in-Chief; Professor and Director of Ethics Education at the University of New Mexico School of Medicine in Albuquerque.
Correspondence: Cynthia Geppert (fedprac@mdedge.com)

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner , Frontline Medical Communications Inc., the US Government, or any of its agencies.

Author and Disclosure Information

Cynthia Geppert is Editor-in-Chief; Professor and Director of Ethics Education at the University of New Mexico School of Medicine in Albuquerque.
Correspondence: Cynthia Geppert (fedprac@mdedge.com)

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner , Frontline Medical Communications Inc., the US Government, or any of its agencies.

Article PDF
Article PDF

Regular readers of Federal Practitioner may recall that I have had a tradition of dedicating the last column of the year to an ethics rendition of the popular trope of the annual best and worst. This year we will examine the stories of 2 military physicians through the lens of virtue ethics. Aristotle (384-322 bce), arguably the most famous Western philosopher, is the acknowledged founder of virtue ethics.

Virtue ethics is among the oldest of ethical theories, and Aristotle articulates this school of thought in his work Nicomachean Ethics.2 It is a good fit for Federal Practitioner as it has been constructively applied to the moral development of both military3 and medical professionals.4

Here is a Reader’s Digest version of virtue theory with apologizes to all the real philosophers out there. There are different ways to categorize ethical theories. One approach is to distinguish them based on the aspects of primary interest. Consequentialist ethics theories are concerned with the outcomes of actions. Deontologic theories emphasize the intention of the moral agent. In contrast, virtue ethics theories focus on the character of a person. The virtuous individual is one who has practiced the habits of moral excellence and embodies the good life. They are honored as heroes and revered as saints; they are the exemplars we imitate in our aspirations.3

The epigraph sums up one of Aristotle’s central philosophical doctrines: the close relationship of ethics and politics.1 Personal virtue is intelligible only in the context of community and aim, and the goal of virtue is to contribute to human happiness.5 War, whether in ancient Greece or modern Europe, is among the forces most inimical to human flourishing. The current war in Ukraine that has united much of the Western world in opposition to tyranny has divided the 2 physicians in our story along the normative lines of virtue ethics.

The doctor of virtue: Michael Siclari, MD. A 71-year-old US Department of Veterans Affairs physician, Siclari had previously served in the military as a National Guard physician during Operation Enduring Freedom (2001-2014) in Afghanistan. He decided to serve again in Ukraine. Siclari expressed his reasons for going to Ukraine in the language of what Aristotle thought was among the highest virtues: justice. “In retrospect, as I think about why I wanted to go to Ukraine, I think it’s more of a sense that I thought an injustice was happening.”7

Echoing the great Rabbi Hillel, Siclari saw the Russian invasion of Ukraine as a personal call to use his experience and training as a trauma and emergency medicine physician to help the Ukrainian people. “If not me, then who?” Siclari demonstrated another virtue: generosity in taking 10 days of personal leave in August 2022 to make the trip to Ukraine, hoping to work in a combat zone tending to wounded soldiers as he had in Afghanistan. When due to logistics he instead was assigned to care for refugees and assist with evacuations from the battlefield, he humbly and compassionately cared for those in his charge. Even now, back home, he speaks to audiences of health care professionals encouraging them to consider similar acts of altruism.5

Virtue for Aristotle is technically defined as the mean between 2 extremes of disposition or temperament. The virtue of courage is found in the moral middle ground between the deficiency of bravery that is cowardice and the vice of excess of reckless abandon. The former person fears too much and the latter too little and both thus exhibit vicious behavior.

The doctor of vice: James Lee Henry. Henry is a major and internal medicine physician in the United States Army stationed at Fort Bragg, headquarters of the US Army Special Operations Command. Along with his wife Anna Gabrielian, a civilian anesthesiologist, he was charged in September with conspiring to divulge the protected health information of American military and government employees to the Russian government.8 According to the Grand Jury indictment, Henry delivered into the hands of an undercover Federal Bureau of Investigation (FBI) agent, the medical records of a US Army officer, Department of Defense employee, and the spouses of 3 Army veterans, 2 of whom were deceased.9 In a gross twisting of virtue language, Gabrielian explained her motivation for the couple’s espionage in terms of sacrifice and loyalty. In an antipode of Siclari’s service, Henry purportedly wanted to join the Russian army but did not have the requisite combat experience. For his part, Henry’s abysmal defense of his betrayal of his country and his oath speaks for itself, if the United States were to declare war on Russia, Henry told the FBI agent, “at that point, I’ll have some ethical issues I have to work through.”8

We become virtuous people through imitating the example of those who have perfected the habits of moral excellence. During 2022, 2 federal practitioners responded to the challenge of war: one displayed the zenith of virtue, the other exhibited the nadir of vice. Seldom does a single year present us with such clear choices of who and how we want to be in 2023. American culture has so trivialized New Year’s resolutions that they are no longer substantive enough for the weight of the profound question of what constitutes the good life. Rather let us make a commitment in keeping with such morally serious matters. All of us live as mixed creatures, drawn to virtue and prone to vice. May we all strive this coming year to help each other meet the high bar another great man of virtue Abraham Lincoln set in his first inaugural address, to be the “better angels of our natures.”10

Regular readers of Federal Practitioner may recall that I have had a tradition of dedicating the last column of the year to an ethics rendition of the popular trope of the annual best and worst. This year we will examine the stories of 2 military physicians through the lens of virtue ethics. Aristotle (384-322 bce), arguably the most famous Western philosopher, is the acknowledged founder of virtue ethics.

Virtue ethics is among the oldest of ethical theories, and Aristotle articulates this school of thought in his work Nicomachean Ethics.2 It is a good fit for Federal Practitioner as it has been constructively applied to the moral development of both military3 and medical professionals.4

Here is a Reader’s Digest version of virtue theory with apologizes to all the real philosophers out there. There are different ways to categorize ethical theories. One approach is to distinguish them based on the aspects of primary interest. Consequentialist ethics theories are concerned with the outcomes of actions. Deontologic theories emphasize the intention of the moral agent. In contrast, virtue ethics theories focus on the character of a person. The virtuous individual is one who has practiced the habits of moral excellence and embodies the good life. They are honored as heroes and revered as saints; they are the exemplars we imitate in our aspirations.3

The epigraph sums up one of Aristotle’s central philosophical doctrines: the close relationship of ethics and politics.1 Personal virtue is intelligible only in the context of community and aim, and the goal of virtue is to contribute to human happiness.5 War, whether in ancient Greece or modern Europe, is among the forces most inimical to human flourishing. The current war in Ukraine that has united much of the Western world in opposition to tyranny has divided the 2 physicians in our story along the normative lines of virtue ethics.

The doctor of virtue: Michael Siclari, MD. A 71-year-old US Department of Veterans Affairs physician, Siclari had previously served in the military as a National Guard physician during Operation Enduring Freedom (2001-2014) in Afghanistan. He decided to serve again in Ukraine. Siclari expressed his reasons for going to Ukraine in the language of what Aristotle thought was among the highest virtues: justice. “In retrospect, as I think about why I wanted to go to Ukraine, I think it’s more of a sense that I thought an injustice was happening.”7

Echoing the great Rabbi Hillel, Siclari saw the Russian invasion of Ukraine as a personal call to use his experience and training as a trauma and emergency medicine physician to help the Ukrainian people. “If not me, then who?” Siclari demonstrated another virtue: generosity in taking 10 days of personal leave in August 2022 to make the trip to Ukraine, hoping to work in a combat zone tending to wounded soldiers as he had in Afghanistan. When due to logistics he instead was assigned to care for refugees and assist with evacuations from the battlefield, he humbly and compassionately cared for those in his charge. Even now, back home, he speaks to audiences of health care professionals encouraging them to consider similar acts of altruism.5

Virtue for Aristotle is technically defined as the mean between 2 extremes of disposition or temperament. The virtue of courage is found in the moral middle ground between the deficiency of bravery that is cowardice and the vice of excess of reckless abandon. The former person fears too much and the latter too little and both thus exhibit vicious behavior.

The doctor of vice: James Lee Henry. Henry is a major and internal medicine physician in the United States Army stationed at Fort Bragg, headquarters of the US Army Special Operations Command. Along with his wife Anna Gabrielian, a civilian anesthesiologist, he was charged in September with conspiring to divulge the protected health information of American military and government employees to the Russian government.8 According to the Grand Jury indictment, Henry delivered into the hands of an undercover Federal Bureau of Investigation (FBI) agent, the medical records of a US Army officer, Department of Defense employee, and the spouses of 3 Army veterans, 2 of whom were deceased.9 In a gross twisting of virtue language, Gabrielian explained her motivation for the couple’s espionage in terms of sacrifice and loyalty. In an antipode of Siclari’s service, Henry purportedly wanted to join the Russian army but did not have the requisite combat experience. For his part, Henry’s abysmal defense of his betrayal of his country and his oath speaks for itself, if the United States were to declare war on Russia, Henry told the FBI agent, “at that point, I’ll have some ethical issues I have to work through.”8

We become virtuous people through imitating the example of those who have perfected the habits of moral excellence. During 2022, 2 federal practitioners responded to the challenge of war: one displayed the zenith of virtue, the other exhibited the nadir of vice. Seldom does a single year present us with such clear choices of who and how we want to be in 2023. American culture has so trivialized New Year’s resolutions that they are no longer substantive enough for the weight of the profound question of what constitutes the good life. Rather let us make a commitment in keeping with such morally serious matters. All of us live as mixed creatures, drawn to virtue and prone to vice. May we all strive this coming year to help each other meet the high bar another great man of virtue Abraham Lincoln set in his first inaugural address, to be the “better angels of our natures.”10

References

1. Aristotle. Politics. Book I, 1253.a31.

2. The Ethics of Aristotle. Aristotle. The Nicomachean Ethics. Thompson JAK, trans. Penguin Books; 1953.

3. Schonfeld TL, Hester DM. Brief introduction to ethics and ethical theory. In: Schonfeld TL, Hester DM, eds. Guidance for Healthcare Ethics Committees. 2nd ed. Cambridge University Press; 2022:11-19.

4. Olsthoorn P. Military Ethics and Virtues: An Interdisciplinary Approach for the 21st Century. Routledge; 2010.

5. Pellegrino ED, Thomasma DC. The Virtues in Medical Practice. Oxford University Press; 1993.

6. Edward Clayton. Aristotle Politics. In: Internet Encyclopedia of Philosophy. Accessed November 28, 2022. https://iep.utm.edu/aristotle-politics

7. Tippets R. A VA doctor’s calling to help in Ukraine. VA News. October 23, 2022. Accessed November 28, 2022. https://news.va.gov/109957/a-va-doctors-calling-to-help-in-ukraine

8. Lybrand H. US Army doctor and anesthesiologist charged with conspiring to US military records to the Russian government. CNN Politics, September 29, 2022. Accessed November 28, 2022 https://www.cnn.com/2022/09/29/politics/us-army-doctor-anesthesiologist-russian-government-medical-records

9. United States v Anna Gabrielian and James Lee Henry, (SD Md 2022). Accessed November 28, 2022. https://www.documentcloud.org/documents/23106067-gabrielian-and-henry-indictment

10. Lincoln A. First Inaugural Address of Abraham Lincoln. Accessed November 28, 2022. https://avalon.law.yale.edu/19th_century/lincoln1.asp

References

1. Aristotle. Politics. Book I, 1253.a31.

2. The Ethics of Aristotle. Aristotle. The Nicomachean Ethics. Thompson JAK, trans. Penguin Books; 1953.

3. Schonfeld TL, Hester DM. Brief introduction to ethics and ethical theory. In: Schonfeld TL, Hester DM, eds. Guidance for Healthcare Ethics Committees. 2nd ed. Cambridge University Press; 2022:11-19.

4. Olsthoorn P. Military Ethics and Virtues: An Interdisciplinary Approach for the 21st Century. Routledge; 2010.

5. Pellegrino ED, Thomasma DC. The Virtues in Medical Practice. Oxford University Press; 1993.

6. Edward Clayton. Aristotle Politics. In: Internet Encyclopedia of Philosophy. Accessed November 28, 2022. https://iep.utm.edu/aristotle-politics

7. Tippets R. A VA doctor’s calling to help in Ukraine. VA News. October 23, 2022. Accessed November 28, 2022. https://news.va.gov/109957/a-va-doctors-calling-to-help-in-ukraine

8. Lybrand H. US Army doctor and anesthesiologist charged with conspiring to US military records to the Russian government. CNN Politics, September 29, 2022. Accessed November 28, 2022 https://www.cnn.com/2022/09/29/politics/us-army-doctor-anesthesiologist-russian-government-medical-records

9. United States v Anna Gabrielian and James Lee Henry, (SD Md 2022). Accessed November 28, 2022. https://www.documentcloud.org/documents/23106067-gabrielian-and-henry-indictment

10. Lincoln A. First Inaugural Address of Abraham Lincoln. Accessed November 28, 2022. https://avalon.law.yale.edu/19th_century/lincoln1.asp

Issue
Federal Practitioner - 39(12)a
Issue
Federal Practitioner - 39(12)a
Page Number
468-469
Page Number
468-469
Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Improving Patient Access to the My HealtheVet Electronic Patient Portal for Veterans

Article Type
Changed

Patient portals are secure online website tools that provide patient access to personal health information (PHI). Access to online PHI improves health equity and satisfies the meaningful use objectives of the Medicare electronic health record (EHR) incentive program.1,2 Through patient portals, individuals can access PHI records and current diagnoses, request and reschedule appointments, locate test results, track trends for vital signs and laboratory values, refill medications, and communicate directly with the health care team through secure messaging. This alternative method of communication with the team is associated with increased patient satisfaction.3 Patients reported improved patient engagement in health care self-management and decision making, as well as strengthened relationships with their health care team.4

Background

One well-documented strategy to improve portal use includes the development of a nurse champion to facilitate enrollment during the clinic visit.5 Patient perceptions of portal value increased after education by a health care professional (HCP) and assistance in enrollment to familiarize patients with the platform for ongoing use.5 Use of patient portals has been associated with favorable outcomes in chronic disease management. Patients with diabetes mellitus who regularly use patient portals for prescription refills and secure messaging have demonstrated improved glycemic control, medication adherence, and associated health parameters compared with nonusers.5-7 In patients with congestive heart failure, meaningful patient portal use results in fewer emergency department visits, fewer hospital admissions, lower readmission rates, and reduced unscheduled and no-show visits.8-11

Patient portal access is a quality improvement (QI) measure that meets Medicare and Medicaid meaningful use requirements that is designed to improve collaboration between HCPs and patients through EHRs. Despite legislation, uptake of patient portal access has been slow, especially among older adults.10,12,13 Barriers to patient portal registration and use include patient lack of awareness, perceived or actual digital illiteracy, mistrust in privacy precautions, lack of user-friendly interfaces, lack of internet or technology, HCP bias and workload, and misperceptions of usefulness.9,10,12,14 The HCPs most likely to facilitate the use of patient portals, typically include nurse practitioners (NPs), nurses, and medical residents.10,15 Patient portal platforms promote the partnership of these disciplines with the veteran to help the patient better manage their health. Despite the benefits and widespread integration of patient portals in health care systems, socioeconomic inequalities and HCP attitudes contribute to persistent disparities in its adoption by underserved populations. The veteran population is often faced with additional barriers to health care access with regard to geographic location, advanced age, trauma, disabilities, mental health challenges, and homelessness.10,16 These barriers require unique approaches to maximize the use of technologic advances.17 Advanced age contributes to low rates of patient portal enrollment and lack of digital platform use, thus creating a digital divide.11,12

The digital divide is described as the gap between those persons who use technology including computers and internet, and those persons who do not because of social and geographic barriers.16 It contributes to a growing health disparity in both access to care and quality of care especially for rural veterans. About 25% of the US population lacks fixed broadband at home; these individuals are more likely to be racial minorities, older, widowed, or to have lower levels of education.18,19 Veterans are disproportionately represented in these demographic categories.20 According to the US Department of Veterans Affairs (VA) Office of Rural Health, the percentage of rural veterans enrolled in the VA health care system (58%) is significantly higher than enrollment of urban veterans (38%); additionally, 27% of rural veterans do not access the internet at home.21

My HealtheVet

The VA plays an integral part in increasing virtual access to care, from the introduction of My Healthevet (MHV) in 2003 to the distribution of iPad tablets to vulnerable veterans during the COVID-19 pandemic.22,23 Due to COVID-19, the need for VA patient access to the internet and VA Video-Connect (VVC) telehealth services increased significantly.22 Access to internet and hardware supporting use of VVC and MHV has been facilitated by the Digital Divide Consult, a VA program launched in 2020 to increase access to telehealth services.24 The VA has distributed > 26,000 cellular-enabled tablets and provided > 50,000 veterans with connectivity in collaboration with various private sector companies.22 Patients report that MHV facilitates engagement in health care through improved access to EHRs and expedited communication with the health care team.4

MHV is a secure online tool that provides patients access to PHI. MHV aims to empower veterans to take charge of their health by improving communication with HCPs, setting patient goals, and offering health and well-being resources.25,26 In a study of outpatients at a large urban multisite health care system, < 35% of patients on 16 medical resident panels were enrolled in a patient portal.15 MHV internal national metrics show increasing registration and active users of the patient portal, yet locally, disparities in the use of the portal by rural and older veterans exist.

The Local Problem

A review of the registration process at a rural VA clinic revealed barriers to facilitating the veteran registration process at the point of care. Clinical reminders exist within the EHR to prompt clinicians at the point of care to improve quality of care. At the New England Healthcare System (Veterans Integrated Service Network [VISN] 1), a patient portal clinical reminder prompts staff to encourage veterans to register. Anecdotal data obtained from primary care staff interviews at a rural VA primary care clinic in Vermont revealed low clinician confidence in completing the clinical reminder, a lack of knowledge of MHV, and lack of time to educate veterans about the benefits of MHV.

 

 

Despite availability of a registration process at the point of care and clinical staff assigned to provide registration information to the veteran, access to the patient portal among veterans at this clinic remained low. This QI project aimed to increase patient portal enrollment of veterans in MHV in a single NP patient panel of 100 patients from a baseline of 33% by 10% in a 3-month time frame.  

Implementation

Before implementing the first Plan-Do-Study-Act (PDSA) cycle, we established the baseline data for 1 patient panel to be 33%. A retrospective review of the NP resident’s panel of 100 revealed 33 veterans were enrolled in MHV, providing a setting for process improvement. Evaluation of potential enrollment data for the panel population revealed unenrolled veterans were primarily aged ≥ 65 years. A rapid cycle QI (RCQI) strategy using the PDSA method was used to identify, implement, and measure changes over a 3-month time frame in 1 NP patient panel.14

The RCQI process included establishing baseline data and 3 PDSA cycles that evaluated the current state of patient access to the electronic patient portal, elucidated patient barriers to registration, assessed the processes for point-of-care enrollment, and developed strategies to improve the process and increase veteran enrollment. The QI project team included an NP resident as the project manager and MHV champion, a clinical faculty mentor at the site, a telehealth coordinator, an MHV coordinator, clinic registered nurse (RN), and clinic licensed nursing assistant (LNA). The RN and LNA additionally served as MHV champions as the project progressed.

PDSA Cycles

The objective for PDSA cycle 1 was to evaluate the process of patient registration and assess the impact on NP workload and clinic workflow over a 4-week period to improve veteran enrollment. Data were collected in a spreadsheet to track the number of veterans enrolled, time frame to enroll, and field notes that the NP resident recorded about the experience. The NP resident was trained in registration methods by the MHV coordinator. Several barriers to the registration process were identified: The process resulted in a change of the clinic visit closure focus, the clinic room was blocked for use by another patient, veterans had difficulty generating a unique username and password, veterans were unfamiliar with basic tablet accessibility and use, and additional time was required if incorrect information was entered. The veterans displayed low confidence in using tablet technology and were unaware of the patient portal or its usefulness. After discussion of the process with the project team, recommendations were made to address challenges, including an RN-led registration process. The first PDSA cycle increased the total patient panel enrollment by 4 veterans to 37%.

In PDSA cycle 2 after the NP visit, patients who agreed to register for the MHV portal were introduced to the tablet. The registration process was completed by the patient with the RN prior to the patient checkout. Once patient registration was completed, the veteran met the MHV coordinator and upgraded to a premium account, which provided full access to portal features. Electronic messaging was tested by the MHV coordinator and veteran to validate patient understanding. Although preloading demographic information improved accessibility issues, time was still required for the RN to orient the veteran to the tablet, provide additional directions, and answer questions.

The registration process reduced NP time commitment but added to the RN time burden and disrupted workflow; and clinic room access continued to be an issue. The wait time for the veteran to register in the clinic remained dependent on the availability of the RN. The decision was to move the registration process to the initial patient rooming assignment in the clinic and was transitioned from RN to LNA, prior to the NP-veteran encounter. Four additional veterans registered in the second PDSA cycle, and total enrollment increased to 41%, an overall 8% increase from baseline.

In the third PDSA cycle the patient enrollment process was managed by the clinic LNA using scripted information about MHV prior to the veteran encounter. A partially preloaded tablet was offered to the veteran to register with MHV during the rooming process, and written and oral instruction were provided to the veteran. The time required for each veteran to register for MHV averaged 10 minutes, and the veteran was able to register while waiting for the NP to enter the room. Typical LNA tasks included greeting patients, updating health records, completing clinical reminders with the veteran, obtaining vital signs, and addressing questions. The LNA introduced the veteran to MHV using scripted information and supported them in registering for MHV prior to the NP-veteran encounter. Registration at point of care during the rooming process was well received by both the LNA and veterans. The LNA reported the process was efficient and did not add excessive time to the LNA workflow. The LNA reported verbal patient satisfaction and registration was facilitated for 6 veterans during the 4-week period. 

 

 



Registration during point of care was reported as feasible and sustainable by the LNA. Upgrading the patient to a premium MHV account was transitioned to the MHV coordinator. All veterans seen during the 4-week period were approached about registration; if the veteran declined, written at-home step-by-step instructions were provided. A replacement electronic clinical reminder was proposed to the VISN clinical reminders team for review and was pilot tested by the primary care clinical team. The third PDSA cycle increased the total patient panel enrollment to 47%, an overall 14% increase from baseline. Six new veteran users were added during PDSA cycle 3.

Discussion

The project team successfully used a RCQI method with a PDSA strategy to improve patient access to the MHV portal and increased veteran enrollment by 14% on 1 NP resident patient panel. The project evaluated clinic workflow regarding veteran patient portal registration, uncovered inefficiencies, and developed improved processes to increase veteran access to the patient portal. Results were positively impacted through the recognition of inefficiencies and initiation of new processes to engage veterans in the portal registration process. Familiarizing the entire clinical team with the clinical reminder and registration process raised the awareness of a digital divide consult and the utility of the portal in patient care. The project provided an opportunity to evaluate veterans’ digital literacy, digital access to send and receive messages, and to provide coaching as needed. Sequential PDSA cycles employed audit and feedback, information preloading, multimodal teaching strategies (verbal, print, hands-on tablet learning), scripting, staff interviews, time studies, and workflow evaluation to improve processes. An MHV champion led the team, monitored the progress, set deadlines, and effectively communicated project performance.

Limitations

Project limitations included the single-site location, its small sample size, and the short 3-month implementation time frame. The patient panel was representative of other NP resident patient panels at the facility but may not be representative of other VA facilities.

Ethical Considerations

Patient confidentiality was maintained throughout the registration and data collection process. The project team (NP, RN, LNA) received training and written instructions on protection of patient confidentiality by the MHV coordinator prior to assisting veterans with the registration process. Privacy was maintained, no patient identifiers were collected or viewed, and no assistance was provided for username, password, or security questions. The tablet was password protected and secured, used only by the project team when veteran was interested in point-of-care portal registration.

Sustainability

QI projects require ongoing systemic efforts to enhance sustainability.26,27 The project team used the PDSA methodology to stimulate the design of new workflow processes to engage staff and veterans in portal registration. Several actions were taken to promote sustainability for veteran portal registration and improve access to health care for rural and underserved veterans. First, printed instructions and website link are available in the clinic intake and examination rooms. Staff are equipped with patient education discussion points about the portal. A tablet is available in the clinic to encourage veterans to sign up. A clinical reminder is in place to encourage portal registration. A designated super-user is available to help new patient portal users register and navigate the system. Outcomes of the QI project were presented at 2 separate VISN 1 nursing grand rounds and reported to the MHV coordinator and telehealth coordinator to promote dialogue among staff and raise awareness of challenges to veteran MHV access.

Conclusions

Reviewing patient portal registration processes at the local level is essential to improve veteran access. This QI project proposed a realistic and scalable solution to implementing and improving patient enrollment to MHV in primary care clinics. Integrating measurement of patient registration into the daily routine of the clinic empowers the entire clinical team to improve the quality of access to patient portal.

The project team worked together to accomplish a shared goal, using errors as opportunities to improve the process, while using available staff without compromising significant time or resources. Engaging the entire team to audit processes and designating one member of the team as an MHV champion to provide feedback is critical to the sustainability of point-of-care registration in the MHV patient portal. Multifaceted approaches to maximizing the use of technology lessens the digital divide for veterans who are faced with geographical and social barriers to health care access.

Acknowledgments

We thank the Office of Academic Affiliations and the US Department of Veterans Affairs Nursing Academic Partnerships in Graduate Education Nurse Practitioner residency program and clinical faculty and the affiliated University of Vermont faculty mentor/quality improvement coach for the support of the project.

References

1. Centers for Medicare and Medicaid Services. Promoting interoperability programs. Updated October 6, 2022. Accessed November 3, 2022. https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms

2. American Hospital Association. Goals of the Medicare and Medicaid electronic health records programs. Accessed November 3, 2022. https://www.aha.org/websites/2009-12-11-goals-medicare-and-medicaid-electronic-health-records-programs

3. Rozenblum R, Donzé J, Hockey PM, et al. The impact of medical informatics on patient satisfaction: a USA-based literature review. Int J Med Inform. 2013;82(3):141-158. doi:10.1016/j.ijmedinf.2012.12.008

4. Stewart MT, Hogan TP, Nicklas J, et al. The promise of patient portals for individuals living with chronic illness: qualitative study identifying pathways of patient engagement. J Med Internet Res. 2020;22(7):e17744. Published 2020 Jul 17. doi:10.2196/17744

5. Harris LT, Haneuse SJ, Martin DP, Ralston JD. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis. Diabetes Care. 2009;32(7):1182-1187. doi:10.2337/dc08-1771

6. Robinson SA, Zocchi MS, Netherton D, et al. Secure messaging, diabetes self-management, and the importance of patient autonomy: a mixed methods study. J Gen Intern Med. 2020;35(10):2955-2962. doi:10.1007/s11606-020-05834-x

7. Zocchi MS, Robinson SA, Ash AS, et al. Patient portal engagement and diabetes management among new portal users in the Veterans Health Administration. J Am Med Inform Assoc. 2021;28(10):2176-2183. doi:10.1093/jamia/ocab115

8. Bao C, Bardhan IR, Singh H, Meyer BA, Kirksey K. Patient-provider engagement and its impact on health outcomes: a longitudinal study of patient portal use. MIS Quarterly. 2020;44(2):699-723. doi:10.25300/MISQ/2020/14180

9. Grossman LV, Masterson Creber RM, Benda NC, Wright D, Vawdrey DK, Ancker JS. Interventions to increase patient portal use in vulnerable populations: a systematic review. J Am Med Informs Assoc. 2019;26(8-9):855-870. doi:10.1093/jamia/ocz023

10. Zhao JY, Song B, Anand E, et al. Barriers, facilitators, and solutions to optimal patient portal and personal health record use: a systematic review of the literature. AMIA Annu Symp Proc. 2018;2017:1913-1922. Published 2018 Apr 16.

11. Zhong X, Park J, Liang M, et al. Characteristics of patients using different patient portal functions and the impact on primary care service utilization and appointment adherence: retrospective observational study. J Med Internet Res. 2020;22(2):e14410. Published 2020 Feb 25. doi:10.2196/14410

12. Krishnaswami A, Beavers C, Dorsch MP, et al. Gerotechnology for older adults with cardiovascular diseases. J Am Coll Cardiol. 2020;76(22):2650-2670. doi:10.1016/j.jacc.2020.09.606

13. Fix GM, Hogan TP, Amante DJ, McInnes DK, Nazi KM, Simon SR. Encouraging patient portal use in the patient-centered medical home: three stakeholder perspectives. J Med Internet Res. 2016;18(11):e308. Published 2016 Nov 22. doi:10.2196/jmir.6488

14. Ancker JS, Nosal S, Hauser D, Way C, Calman N. Access policy and the digital divide in patient access to medical records. Health Policy Technol. 2016;6(3-11). doi:10.1016/j.hlpt.2016.11.004

15. Rhudy C, Broxterman J, Stewart S, et al. Improving patient portal enrolment in an academic resident continuity clinic: quality improvement made simple. BMJ Open Qual. 2019;8(2):e000430. Published 2019 Apr 25. doi:10.1136/bmjoq-2018-000430

16. Kontos E, Blake KD, Chou WY, Prestin A. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res. 2014;16(7):e172. Published 2014 Jul 16. doi:10.2196/jmir.3117

17. National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice. The state of health disparities in the United States. In: Baciu A, Negussie Y, Geller A, et al, eds. Communities in Action: Pathways to Health Equity. National Academies Press (US); January 11, 2017. Accessed November 3, 2022. https://www.ncbi.nlm.nih.gov/books/NBK425848/

18. Pew Research Center. Internet/broadband fact sheet. Updated April 7, 2021. Accessed November 3, 2022. https://www.pewresearch.org/internet/fact-sheet/internet-broadband

19. Roberts ET, Mehrotra A. Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine. JAMA Intern Med. 2020;180(10):1386-1389. doi:10.1001/jamainternmed.2020.2666

20. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Veteran population. Updated September 7, 2022. Accessed November 3, 2022. https://www.va.gov/vetdata/veteran_population.asp

21. US Department of Veterans Affairs, Office of Rural Health. Rural veterans health care challenges. Updated March 31, 2022. Accessed November 3, 2022. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

22. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA expands veteran access to telehealth with iPad services. Press release. September 15, 2020. Accessed November 3, 2022. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5521

23. Zulman DM, Wong EP, Slightam C, et al. Making connections: National implementation of video telehealth tablets to address access barriers in veterans. JAMIA Open. 2019;2(3):323-329. doi:10.1093/jamiaopen/ooz024

24. Malone NC, Williams MM, Smith Fawzi MC, et al. Mobile health clinics in the United States. Int J Equity Health. 2020;19(1):40. doi:10.1186/s12939-020-1135-7

25. US Department of Veterans Affairs. How to use My HealtheVet. Accessed November 3, 2022. https://www.myhealth.va.gov/mhv-portal-web/how-to-use-mhv

26. US Department of Veterans Affairs, Veterans Health Administration, Office of Patient Centered Care and Cultural Transformation. Whole health for life. 2017. Accessed November 3, 2022. https://www.va.gov/wholehealth/docs/2017-AR-Vet-Facing_FNL-W508.pdf27. Mortimer F, Isherwood J, Wilkinson A, Vaux E. Sustainability in quality improvement: redefining value. Future Healthc J. 2018;5(2):88-93. doi:10.7861/futurehosp.5-2-88

Article PDF
Author and Disclosure Information

Corinne Roberto, DNP, APRN, AGNP-Ca; Melanie Keiffer, DNP, APRN, ANP-BC, CNEb,c; Melanie Black, MSN, APRN, AGNP-Cd; Carol Williams-Suich, MSN, APRN, FNP-BC, GNP-BCb,d; Karen Grunewald, DNP, APRN, ANP-BCb,e
Correspondence:
Corinne Roberto (corinne.roberto@va.gov)

aVeterans Health Administration Community-Based Outpatient Clinic, Bend, Oregon
bUniversity of Vermont College of Nursing and Health Sciences Burlingoton
cVeterans Health Administration, Burlington, Vermont
dWhite River Junction Veterans Affairs Medical Center, Vermont
eVeterans Health Administration Community-Based Outpatient Clinic, Burlington, Vermont

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This project is a quality improvement and program evaluation; formal ethics approval was not required.

Issue
Federal Practitioner - 39(12)a
Publications
Topics
Page Number
476-481
Sections
Author and Disclosure Information

Corinne Roberto, DNP, APRN, AGNP-Ca; Melanie Keiffer, DNP, APRN, ANP-BC, CNEb,c; Melanie Black, MSN, APRN, AGNP-Cd; Carol Williams-Suich, MSN, APRN, FNP-BC, GNP-BCb,d; Karen Grunewald, DNP, APRN, ANP-BCb,e
Correspondence:
Corinne Roberto (corinne.roberto@va.gov)

aVeterans Health Administration Community-Based Outpatient Clinic, Bend, Oregon
bUniversity of Vermont College of Nursing and Health Sciences Burlingoton
cVeterans Health Administration, Burlington, Vermont
dWhite River Junction Veterans Affairs Medical Center, Vermont
eVeterans Health Administration Community-Based Outpatient Clinic, Burlington, Vermont

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This project is a quality improvement and program evaluation; formal ethics approval was not required.

Author and Disclosure Information

Corinne Roberto, DNP, APRN, AGNP-Ca; Melanie Keiffer, DNP, APRN, ANP-BC, CNEb,c; Melanie Black, MSN, APRN, AGNP-Cd; Carol Williams-Suich, MSN, APRN, FNP-BC, GNP-BCb,d; Karen Grunewald, DNP, APRN, ANP-BCb,e
Correspondence:
Corinne Roberto (corinne.roberto@va.gov)

aVeterans Health Administration Community-Based Outpatient Clinic, Bend, Oregon
bUniversity of Vermont College of Nursing and Health Sciences Burlingoton
cVeterans Health Administration, Burlington, Vermont
dWhite River Junction Veterans Affairs Medical Center, Vermont
eVeterans Health Administration Community-Based Outpatient Clinic, Burlington, Vermont

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This project is a quality improvement and program evaluation; formal ethics approval was not required.

Article PDF
Article PDF

Patient portals are secure online website tools that provide patient access to personal health information (PHI). Access to online PHI improves health equity and satisfies the meaningful use objectives of the Medicare electronic health record (EHR) incentive program.1,2 Through patient portals, individuals can access PHI records and current diagnoses, request and reschedule appointments, locate test results, track trends for vital signs and laboratory values, refill medications, and communicate directly with the health care team through secure messaging. This alternative method of communication with the team is associated with increased patient satisfaction.3 Patients reported improved patient engagement in health care self-management and decision making, as well as strengthened relationships with their health care team.4

Background

One well-documented strategy to improve portal use includes the development of a nurse champion to facilitate enrollment during the clinic visit.5 Patient perceptions of portal value increased after education by a health care professional (HCP) and assistance in enrollment to familiarize patients with the platform for ongoing use.5 Use of patient portals has been associated with favorable outcomes in chronic disease management. Patients with diabetes mellitus who regularly use patient portals for prescription refills and secure messaging have demonstrated improved glycemic control, medication adherence, and associated health parameters compared with nonusers.5-7 In patients with congestive heart failure, meaningful patient portal use results in fewer emergency department visits, fewer hospital admissions, lower readmission rates, and reduced unscheduled and no-show visits.8-11

Patient portal access is a quality improvement (QI) measure that meets Medicare and Medicaid meaningful use requirements that is designed to improve collaboration between HCPs and patients through EHRs. Despite legislation, uptake of patient portal access has been slow, especially among older adults.10,12,13 Barriers to patient portal registration and use include patient lack of awareness, perceived or actual digital illiteracy, mistrust in privacy precautions, lack of user-friendly interfaces, lack of internet or technology, HCP bias and workload, and misperceptions of usefulness.9,10,12,14 The HCPs most likely to facilitate the use of patient portals, typically include nurse practitioners (NPs), nurses, and medical residents.10,15 Patient portal platforms promote the partnership of these disciplines with the veteran to help the patient better manage their health. Despite the benefits and widespread integration of patient portals in health care systems, socioeconomic inequalities and HCP attitudes contribute to persistent disparities in its adoption by underserved populations. The veteran population is often faced with additional barriers to health care access with regard to geographic location, advanced age, trauma, disabilities, mental health challenges, and homelessness.10,16 These barriers require unique approaches to maximize the use of technologic advances.17 Advanced age contributes to low rates of patient portal enrollment and lack of digital platform use, thus creating a digital divide.11,12

The digital divide is described as the gap between those persons who use technology including computers and internet, and those persons who do not because of social and geographic barriers.16 It contributes to a growing health disparity in both access to care and quality of care especially for rural veterans. About 25% of the US population lacks fixed broadband at home; these individuals are more likely to be racial minorities, older, widowed, or to have lower levels of education.18,19 Veterans are disproportionately represented in these demographic categories.20 According to the US Department of Veterans Affairs (VA) Office of Rural Health, the percentage of rural veterans enrolled in the VA health care system (58%) is significantly higher than enrollment of urban veterans (38%); additionally, 27% of rural veterans do not access the internet at home.21

My HealtheVet

The VA plays an integral part in increasing virtual access to care, from the introduction of My Healthevet (MHV) in 2003 to the distribution of iPad tablets to vulnerable veterans during the COVID-19 pandemic.22,23 Due to COVID-19, the need for VA patient access to the internet and VA Video-Connect (VVC) telehealth services increased significantly.22 Access to internet and hardware supporting use of VVC and MHV has been facilitated by the Digital Divide Consult, a VA program launched in 2020 to increase access to telehealth services.24 The VA has distributed > 26,000 cellular-enabled tablets and provided > 50,000 veterans with connectivity in collaboration with various private sector companies.22 Patients report that MHV facilitates engagement in health care through improved access to EHRs and expedited communication with the health care team.4

MHV is a secure online tool that provides patients access to PHI. MHV aims to empower veterans to take charge of their health by improving communication with HCPs, setting patient goals, and offering health and well-being resources.25,26 In a study of outpatients at a large urban multisite health care system, < 35% of patients on 16 medical resident panels were enrolled in a patient portal.15 MHV internal national metrics show increasing registration and active users of the patient portal, yet locally, disparities in the use of the portal by rural and older veterans exist.

The Local Problem

A review of the registration process at a rural VA clinic revealed barriers to facilitating the veteran registration process at the point of care. Clinical reminders exist within the EHR to prompt clinicians at the point of care to improve quality of care. At the New England Healthcare System (Veterans Integrated Service Network [VISN] 1), a patient portal clinical reminder prompts staff to encourage veterans to register. Anecdotal data obtained from primary care staff interviews at a rural VA primary care clinic in Vermont revealed low clinician confidence in completing the clinical reminder, a lack of knowledge of MHV, and lack of time to educate veterans about the benefits of MHV.

 

 

Despite availability of a registration process at the point of care and clinical staff assigned to provide registration information to the veteran, access to the patient portal among veterans at this clinic remained low. This QI project aimed to increase patient portal enrollment of veterans in MHV in a single NP patient panel of 100 patients from a baseline of 33% by 10% in a 3-month time frame.  

Implementation

Before implementing the first Plan-Do-Study-Act (PDSA) cycle, we established the baseline data for 1 patient panel to be 33%. A retrospective review of the NP resident’s panel of 100 revealed 33 veterans were enrolled in MHV, providing a setting for process improvement. Evaluation of potential enrollment data for the panel population revealed unenrolled veterans were primarily aged ≥ 65 years. A rapid cycle QI (RCQI) strategy using the PDSA method was used to identify, implement, and measure changes over a 3-month time frame in 1 NP patient panel.14

The RCQI process included establishing baseline data and 3 PDSA cycles that evaluated the current state of patient access to the electronic patient portal, elucidated patient barriers to registration, assessed the processes for point-of-care enrollment, and developed strategies to improve the process and increase veteran enrollment. The QI project team included an NP resident as the project manager and MHV champion, a clinical faculty mentor at the site, a telehealth coordinator, an MHV coordinator, clinic registered nurse (RN), and clinic licensed nursing assistant (LNA). The RN and LNA additionally served as MHV champions as the project progressed.

PDSA Cycles

The objective for PDSA cycle 1 was to evaluate the process of patient registration and assess the impact on NP workload and clinic workflow over a 4-week period to improve veteran enrollment. Data were collected in a spreadsheet to track the number of veterans enrolled, time frame to enroll, and field notes that the NP resident recorded about the experience. The NP resident was trained in registration methods by the MHV coordinator. Several barriers to the registration process were identified: The process resulted in a change of the clinic visit closure focus, the clinic room was blocked for use by another patient, veterans had difficulty generating a unique username and password, veterans were unfamiliar with basic tablet accessibility and use, and additional time was required if incorrect information was entered. The veterans displayed low confidence in using tablet technology and were unaware of the patient portal or its usefulness. After discussion of the process with the project team, recommendations were made to address challenges, including an RN-led registration process. The first PDSA cycle increased the total patient panel enrollment by 4 veterans to 37%.

In PDSA cycle 2 after the NP visit, patients who agreed to register for the MHV portal were introduced to the tablet. The registration process was completed by the patient with the RN prior to the patient checkout. Once patient registration was completed, the veteran met the MHV coordinator and upgraded to a premium account, which provided full access to portal features. Electronic messaging was tested by the MHV coordinator and veteran to validate patient understanding. Although preloading demographic information improved accessibility issues, time was still required for the RN to orient the veteran to the tablet, provide additional directions, and answer questions.

The registration process reduced NP time commitment but added to the RN time burden and disrupted workflow; and clinic room access continued to be an issue. The wait time for the veteran to register in the clinic remained dependent on the availability of the RN. The decision was to move the registration process to the initial patient rooming assignment in the clinic and was transitioned from RN to LNA, prior to the NP-veteran encounter. Four additional veterans registered in the second PDSA cycle, and total enrollment increased to 41%, an overall 8% increase from baseline.

In the third PDSA cycle the patient enrollment process was managed by the clinic LNA using scripted information about MHV prior to the veteran encounter. A partially preloaded tablet was offered to the veteran to register with MHV during the rooming process, and written and oral instruction were provided to the veteran. The time required for each veteran to register for MHV averaged 10 minutes, and the veteran was able to register while waiting for the NP to enter the room. Typical LNA tasks included greeting patients, updating health records, completing clinical reminders with the veteran, obtaining vital signs, and addressing questions. The LNA introduced the veteran to MHV using scripted information and supported them in registering for MHV prior to the NP-veteran encounter. Registration at point of care during the rooming process was well received by both the LNA and veterans. The LNA reported the process was efficient and did not add excessive time to the LNA workflow. The LNA reported verbal patient satisfaction and registration was facilitated for 6 veterans during the 4-week period. 

 

 



Registration during point of care was reported as feasible and sustainable by the LNA. Upgrading the patient to a premium MHV account was transitioned to the MHV coordinator. All veterans seen during the 4-week period were approached about registration; if the veteran declined, written at-home step-by-step instructions were provided. A replacement electronic clinical reminder was proposed to the VISN clinical reminders team for review and was pilot tested by the primary care clinical team. The third PDSA cycle increased the total patient panel enrollment to 47%, an overall 14% increase from baseline. Six new veteran users were added during PDSA cycle 3.

Discussion

The project team successfully used a RCQI method with a PDSA strategy to improve patient access to the MHV portal and increased veteran enrollment by 14% on 1 NP resident patient panel. The project evaluated clinic workflow regarding veteran patient portal registration, uncovered inefficiencies, and developed improved processes to increase veteran access to the patient portal. Results were positively impacted through the recognition of inefficiencies and initiation of new processes to engage veterans in the portal registration process. Familiarizing the entire clinical team with the clinical reminder and registration process raised the awareness of a digital divide consult and the utility of the portal in patient care. The project provided an opportunity to evaluate veterans’ digital literacy, digital access to send and receive messages, and to provide coaching as needed. Sequential PDSA cycles employed audit and feedback, information preloading, multimodal teaching strategies (verbal, print, hands-on tablet learning), scripting, staff interviews, time studies, and workflow evaluation to improve processes. An MHV champion led the team, monitored the progress, set deadlines, and effectively communicated project performance.

Limitations

Project limitations included the single-site location, its small sample size, and the short 3-month implementation time frame. The patient panel was representative of other NP resident patient panels at the facility but may not be representative of other VA facilities.

Ethical Considerations

Patient confidentiality was maintained throughout the registration and data collection process. The project team (NP, RN, LNA) received training and written instructions on protection of patient confidentiality by the MHV coordinator prior to assisting veterans with the registration process. Privacy was maintained, no patient identifiers were collected or viewed, and no assistance was provided for username, password, or security questions. The tablet was password protected and secured, used only by the project team when veteran was interested in point-of-care portal registration.

Sustainability

QI projects require ongoing systemic efforts to enhance sustainability.26,27 The project team used the PDSA methodology to stimulate the design of new workflow processes to engage staff and veterans in portal registration. Several actions were taken to promote sustainability for veteran portal registration and improve access to health care for rural and underserved veterans. First, printed instructions and website link are available in the clinic intake and examination rooms. Staff are equipped with patient education discussion points about the portal. A tablet is available in the clinic to encourage veterans to sign up. A clinical reminder is in place to encourage portal registration. A designated super-user is available to help new patient portal users register and navigate the system. Outcomes of the QI project were presented at 2 separate VISN 1 nursing grand rounds and reported to the MHV coordinator and telehealth coordinator to promote dialogue among staff and raise awareness of challenges to veteran MHV access.

Conclusions

Reviewing patient portal registration processes at the local level is essential to improve veteran access. This QI project proposed a realistic and scalable solution to implementing and improving patient enrollment to MHV in primary care clinics. Integrating measurement of patient registration into the daily routine of the clinic empowers the entire clinical team to improve the quality of access to patient portal.

The project team worked together to accomplish a shared goal, using errors as opportunities to improve the process, while using available staff without compromising significant time or resources. Engaging the entire team to audit processes and designating one member of the team as an MHV champion to provide feedback is critical to the sustainability of point-of-care registration in the MHV patient portal. Multifaceted approaches to maximizing the use of technology lessens the digital divide for veterans who are faced with geographical and social barriers to health care access.

Acknowledgments

We thank the Office of Academic Affiliations and the US Department of Veterans Affairs Nursing Academic Partnerships in Graduate Education Nurse Practitioner residency program and clinical faculty and the affiliated University of Vermont faculty mentor/quality improvement coach for the support of the project.

Patient portals are secure online website tools that provide patient access to personal health information (PHI). Access to online PHI improves health equity and satisfies the meaningful use objectives of the Medicare electronic health record (EHR) incentive program.1,2 Through patient portals, individuals can access PHI records and current diagnoses, request and reschedule appointments, locate test results, track trends for vital signs and laboratory values, refill medications, and communicate directly with the health care team through secure messaging. This alternative method of communication with the team is associated with increased patient satisfaction.3 Patients reported improved patient engagement in health care self-management and decision making, as well as strengthened relationships with their health care team.4

Background

One well-documented strategy to improve portal use includes the development of a nurse champion to facilitate enrollment during the clinic visit.5 Patient perceptions of portal value increased after education by a health care professional (HCP) and assistance in enrollment to familiarize patients with the platform for ongoing use.5 Use of patient portals has been associated with favorable outcomes in chronic disease management. Patients with diabetes mellitus who regularly use patient portals for prescription refills and secure messaging have demonstrated improved glycemic control, medication adherence, and associated health parameters compared with nonusers.5-7 In patients with congestive heart failure, meaningful patient portal use results in fewer emergency department visits, fewer hospital admissions, lower readmission rates, and reduced unscheduled and no-show visits.8-11

Patient portal access is a quality improvement (QI) measure that meets Medicare and Medicaid meaningful use requirements that is designed to improve collaboration between HCPs and patients through EHRs. Despite legislation, uptake of patient portal access has been slow, especially among older adults.10,12,13 Barriers to patient portal registration and use include patient lack of awareness, perceived or actual digital illiteracy, mistrust in privacy precautions, lack of user-friendly interfaces, lack of internet or technology, HCP bias and workload, and misperceptions of usefulness.9,10,12,14 The HCPs most likely to facilitate the use of patient portals, typically include nurse practitioners (NPs), nurses, and medical residents.10,15 Patient portal platforms promote the partnership of these disciplines with the veteran to help the patient better manage their health. Despite the benefits and widespread integration of patient portals in health care systems, socioeconomic inequalities and HCP attitudes contribute to persistent disparities in its adoption by underserved populations. The veteran population is often faced with additional barriers to health care access with regard to geographic location, advanced age, trauma, disabilities, mental health challenges, and homelessness.10,16 These barriers require unique approaches to maximize the use of technologic advances.17 Advanced age contributes to low rates of patient portal enrollment and lack of digital platform use, thus creating a digital divide.11,12

The digital divide is described as the gap between those persons who use technology including computers and internet, and those persons who do not because of social and geographic barriers.16 It contributes to a growing health disparity in both access to care and quality of care especially for rural veterans. About 25% of the US population lacks fixed broadband at home; these individuals are more likely to be racial minorities, older, widowed, or to have lower levels of education.18,19 Veterans are disproportionately represented in these demographic categories.20 According to the US Department of Veterans Affairs (VA) Office of Rural Health, the percentage of rural veterans enrolled in the VA health care system (58%) is significantly higher than enrollment of urban veterans (38%); additionally, 27% of rural veterans do not access the internet at home.21

My HealtheVet

The VA plays an integral part in increasing virtual access to care, from the introduction of My Healthevet (MHV) in 2003 to the distribution of iPad tablets to vulnerable veterans during the COVID-19 pandemic.22,23 Due to COVID-19, the need for VA patient access to the internet and VA Video-Connect (VVC) telehealth services increased significantly.22 Access to internet and hardware supporting use of VVC and MHV has been facilitated by the Digital Divide Consult, a VA program launched in 2020 to increase access to telehealth services.24 The VA has distributed > 26,000 cellular-enabled tablets and provided > 50,000 veterans with connectivity in collaboration with various private sector companies.22 Patients report that MHV facilitates engagement in health care through improved access to EHRs and expedited communication with the health care team.4

MHV is a secure online tool that provides patients access to PHI. MHV aims to empower veterans to take charge of their health by improving communication with HCPs, setting patient goals, and offering health and well-being resources.25,26 In a study of outpatients at a large urban multisite health care system, < 35% of patients on 16 medical resident panels were enrolled in a patient portal.15 MHV internal national metrics show increasing registration and active users of the patient portal, yet locally, disparities in the use of the portal by rural and older veterans exist.

The Local Problem

A review of the registration process at a rural VA clinic revealed barriers to facilitating the veteran registration process at the point of care. Clinical reminders exist within the EHR to prompt clinicians at the point of care to improve quality of care. At the New England Healthcare System (Veterans Integrated Service Network [VISN] 1), a patient portal clinical reminder prompts staff to encourage veterans to register. Anecdotal data obtained from primary care staff interviews at a rural VA primary care clinic in Vermont revealed low clinician confidence in completing the clinical reminder, a lack of knowledge of MHV, and lack of time to educate veterans about the benefits of MHV.

 

 

Despite availability of a registration process at the point of care and clinical staff assigned to provide registration information to the veteran, access to the patient portal among veterans at this clinic remained low. This QI project aimed to increase patient portal enrollment of veterans in MHV in a single NP patient panel of 100 patients from a baseline of 33% by 10% in a 3-month time frame.  

Implementation

Before implementing the first Plan-Do-Study-Act (PDSA) cycle, we established the baseline data for 1 patient panel to be 33%. A retrospective review of the NP resident’s panel of 100 revealed 33 veterans were enrolled in MHV, providing a setting for process improvement. Evaluation of potential enrollment data for the panel population revealed unenrolled veterans were primarily aged ≥ 65 years. A rapid cycle QI (RCQI) strategy using the PDSA method was used to identify, implement, and measure changes over a 3-month time frame in 1 NP patient panel.14

The RCQI process included establishing baseline data and 3 PDSA cycles that evaluated the current state of patient access to the electronic patient portal, elucidated patient barriers to registration, assessed the processes for point-of-care enrollment, and developed strategies to improve the process and increase veteran enrollment. The QI project team included an NP resident as the project manager and MHV champion, a clinical faculty mentor at the site, a telehealth coordinator, an MHV coordinator, clinic registered nurse (RN), and clinic licensed nursing assistant (LNA). The RN and LNA additionally served as MHV champions as the project progressed.

PDSA Cycles

The objective for PDSA cycle 1 was to evaluate the process of patient registration and assess the impact on NP workload and clinic workflow over a 4-week period to improve veteran enrollment. Data were collected in a spreadsheet to track the number of veterans enrolled, time frame to enroll, and field notes that the NP resident recorded about the experience. The NP resident was trained in registration methods by the MHV coordinator. Several barriers to the registration process were identified: The process resulted in a change of the clinic visit closure focus, the clinic room was blocked for use by another patient, veterans had difficulty generating a unique username and password, veterans were unfamiliar with basic tablet accessibility and use, and additional time was required if incorrect information was entered. The veterans displayed low confidence in using tablet technology and were unaware of the patient portal or its usefulness. After discussion of the process with the project team, recommendations were made to address challenges, including an RN-led registration process. The first PDSA cycle increased the total patient panel enrollment by 4 veterans to 37%.

In PDSA cycle 2 after the NP visit, patients who agreed to register for the MHV portal were introduced to the tablet. The registration process was completed by the patient with the RN prior to the patient checkout. Once patient registration was completed, the veteran met the MHV coordinator and upgraded to a premium account, which provided full access to portal features. Electronic messaging was tested by the MHV coordinator and veteran to validate patient understanding. Although preloading demographic information improved accessibility issues, time was still required for the RN to orient the veteran to the tablet, provide additional directions, and answer questions.

The registration process reduced NP time commitment but added to the RN time burden and disrupted workflow; and clinic room access continued to be an issue. The wait time for the veteran to register in the clinic remained dependent on the availability of the RN. The decision was to move the registration process to the initial patient rooming assignment in the clinic and was transitioned from RN to LNA, prior to the NP-veteran encounter. Four additional veterans registered in the second PDSA cycle, and total enrollment increased to 41%, an overall 8% increase from baseline.

In the third PDSA cycle the patient enrollment process was managed by the clinic LNA using scripted information about MHV prior to the veteran encounter. A partially preloaded tablet was offered to the veteran to register with MHV during the rooming process, and written and oral instruction were provided to the veteran. The time required for each veteran to register for MHV averaged 10 minutes, and the veteran was able to register while waiting for the NP to enter the room. Typical LNA tasks included greeting patients, updating health records, completing clinical reminders with the veteran, obtaining vital signs, and addressing questions. The LNA introduced the veteran to MHV using scripted information and supported them in registering for MHV prior to the NP-veteran encounter. Registration at point of care during the rooming process was well received by both the LNA and veterans. The LNA reported the process was efficient and did not add excessive time to the LNA workflow. The LNA reported verbal patient satisfaction and registration was facilitated for 6 veterans during the 4-week period. 

 

 



Registration during point of care was reported as feasible and sustainable by the LNA. Upgrading the patient to a premium MHV account was transitioned to the MHV coordinator. All veterans seen during the 4-week period were approached about registration; if the veteran declined, written at-home step-by-step instructions were provided. A replacement electronic clinical reminder was proposed to the VISN clinical reminders team for review and was pilot tested by the primary care clinical team. The third PDSA cycle increased the total patient panel enrollment to 47%, an overall 14% increase from baseline. Six new veteran users were added during PDSA cycle 3.

Discussion

The project team successfully used a RCQI method with a PDSA strategy to improve patient access to the MHV portal and increased veteran enrollment by 14% on 1 NP resident patient panel. The project evaluated clinic workflow regarding veteran patient portal registration, uncovered inefficiencies, and developed improved processes to increase veteran access to the patient portal. Results were positively impacted through the recognition of inefficiencies and initiation of new processes to engage veterans in the portal registration process. Familiarizing the entire clinical team with the clinical reminder and registration process raised the awareness of a digital divide consult and the utility of the portal in patient care. The project provided an opportunity to evaluate veterans’ digital literacy, digital access to send and receive messages, and to provide coaching as needed. Sequential PDSA cycles employed audit and feedback, information preloading, multimodal teaching strategies (verbal, print, hands-on tablet learning), scripting, staff interviews, time studies, and workflow evaluation to improve processes. An MHV champion led the team, monitored the progress, set deadlines, and effectively communicated project performance.

Limitations

Project limitations included the single-site location, its small sample size, and the short 3-month implementation time frame. The patient panel was representative of other NP resident patient panels at the facility but may not be representative of other VA facilities.

Ethical Considerations

Patient confidentiality was maintained throughout the registration and data collection process. The project team (NP, RN, LNA) received training and written instructions on protection of patient confidentiality by the MHV coordinator prior to assisting veterans with the registration process. Privacy was maintained, no patient identifiers were collected or viewed, and no assistance was provided for username, password, or security questions. The tablet was password protected and secured, used only by the project team when veteran was interested in point-of-care portal registration.

Sustainability

QI projects require ongoing systemic efforts to enhance sustainability.26,27 The project team used the PDSA methodology to stimulate the design of new workflow processes to engage staff and veterans in portal registration. Several actions were taken to promote sustainability for veteran portal registration and improve access to health care for rural and underserved veterans. First, printed instructions and website link are available in the clinic intake and examination rooms. Staff are equipped with patient education discussion points about the portal. A tablet is available in the clinic to encourage veterans to sign up. A clinical reminder is in place to encourage portal registration. A designated super-user is available to help new patient portal users register and navigate the system. Outcomes of the QI project were presented at 2 separate VISN 1 nursing grand rounds and reported to the MHV coordinator and telehealth coordinator to promote dialogue among staff and raise awareness of challenges to veteran MHV access.

Conclusions

Reviewing patient portal registration processes at the local level is essential to improve veteran access. This QI project proposed a realistic and scalable solution to implementing and improving patient enrollment to MHV in primary care clinics. Integrating measurement of patient registration into the daily routine of the clinic empowers the entire clinical team to improve the quality of access to patient portal.

The project team worked together to accomplish a shared goal, using errors as opportunities to improve the process, while using available staff without compromising significant time or resources. Engaging the entire team to audit processes and designating one member of the team as an MHV champion to provide feedback is critical to the sustainability of point-of-care registration in the MHV patient portal. Multifaceted approaches to maximizing the use of technology lessens the digital divide for veterans who are faced with geographical and social barriers to health care access.

Acknowledgments

We thank the Office of Academic Affiliations and the US Department of Veterans Affairs Nursing Academic Partnerships in Graduate Education Nurse Practitioner residency program and clinical faculty and the affiliated University of Vermont faculty mentor/quality improvement coach for the support of the project.

References

1. Centers for Medicare and Medicaid Services. Promoting interoperability programs. Updated October 6, 2022. Accessed November 3, 2022. https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms

2. American Hospital Association. Goals of the Medicare and Medicaid electronic health records programs. Accessed November 3, 2022. https://www.aha.org/websites/2009-12-11-goals-medicare-and-medicaid-electronic-health-records-programs

3. Rozenblum R, Donzé J, Hockey PM, et al. The impact of medical informatics on patient satisfaction: a USA-based literature review. Int J Med Inform. 2013;82(3):141-158. doi:10.1016/j.ijmedinf.2012.12.008

4. Stewart MT, Hogan TP, Nicklas J, et al. The promise of patient portals for individuals living with chronic illness: qualitative study identifying pathways of patient engagement. J Med Internet Res. 2020;22(7):e17744. Published 2020 Jul 17. doi:10.2196/17744

5. Harris LT, Haneuse SJ, Martin DP, Ralston JD. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis. Diabetes Care. 2009;32(7):1182-1187. doi:10.2337/dc08-1771

6. Robinson SA, Zocchi MS, Netherton D, et al. Secure messaging, diabetes self-management, and the importance of patient autonomy: a mixed methods study. J Gen Intern Med. 2020;35(10):2955-2962. doi:10.1007/s11606-020-05834-x

7. Zocchi MS, Robinson SA, Ash AS, et al. Patient portal engagement and diabetes management among new portal users in the Veterans Health Administration. J Am Med Inform Assoc. 2021;28(10):2176-2183. doi:10.1093/jamia/ocab115

8. Bao C, Bardhan IR, Singh H, Meyer BA, Kirksey K. Patient-provider engagement and its impact on health outcomes: a longitudinal study of patient portal use. MIS Quarterly. 2020;44(2):699-723. doi:10.25300/MISQ/2020/14180

9. Grossman LV, Masterson Creber RM, Benda NC, Wright D, Vawdrey DK, Ancker JS. Interventions to increase patient portal use in vulnerable populations: a systematic review. J Am Med Informs Assoc. 2019;26(8-9):855-870. doi:10.1093/jamia/ocz023

10. Zhao JY, Song B, Anand E, et al. Barriers, facilitators, and solutions to optimal patient portal and personal health record use: a systematic review of the literature. AMIA Annu Symp Proc. 2018;2017:1913-1922. Published 2018 Apr 16.

11. Zhong X, Park J, Liang M, et al. Characteristics of patients using different patient portal functions and the impact on primary care service utilization and appointment adherence: retrospective observational study. J Med Internet Res. 2020;22(2):e14410. Published 2020 Feb 25. doi:10.2196/14410

12. Krishnaswami A, Beavers C, Dorsch MP, et al. Gerotechnology for older adults with cardiovascular diseases. J Am Coll Cardiol. 2020;76(22):2650-2670. doi:10.1016/j.jacc.2020.09.606

13. Fix GM, Hogan TP, Amante DJ, McInnes DK, Nazi KM, Simon SR. Encouraging patient portal use in the patient-centered medical home: three stakeholder perspectives. J Med Internet Res. 2016;18(11):e308. Published 2016 Nov 22. doi:10.2196/jmir.6488

14. Ancker JS, Nosal S, Hauser D, Way C, Calman N. Access policy and the digital divide in patient access to medical records. Health Policy Technol. 2016;6(3-11). doi:10.1016/j.hlpt.2016.11.004

15. Rhudy C, Broxterman J, Stewart S, et al. Improving patient portal enrolment in an academic resident continuity clinic: quality improvement made simple. BMJ Open Qual. 2019;8(2):e000430. Published 2019 Apr 25. doi:10.1136/bmjoq-2018-000430

16. Kontos E, Blake KD, Chou WY, Prestin A. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res. 2014;16(7):e172. Published 2014 Jul 16. doi:10.2196/jmir.3117

17. National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice. The state of health disparities in the United States. In: Baciu A, Negussie Y, Geller A, et al, eds. Communities in Action: Pathways to Health Equity. National Academies Press (US); January 11, 2017. Accessed November 3, 2022. https://www.ncbi.nlm.nih.gov/books/NBK425848/

18. Pew Research Center. Internet/broadband fact sheet. Updated April 7, 2021. Accessed November 3, 2022. https://www.pewresearch.org/internet/fact-sheet/internet-broadband

19. Roberts ET, Mehrotra A. Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine. JAMA Intern Med. 2020;180(10):1386-1389. doi:10.1001/jamainternmed.2020.2666

20. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Veteran population. Updated September 7, 2022. Accessed November 3, 2022. https://www.va.gov/vetdata/veteran_population.asp

21. US Department of Veterans Affairs, Office of Rural Health. Rural veterans health care challenges. Updated March 31, 2022. Accessed November 3, 2022. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

22. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA expands veteran access to telehealth with iPad services. Press release. September 15, 2020. Accessed November 3, 2022. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5521

23. Zulman DM, Wong EP, Slightam C, et al. Making connections: National implementation of video telehealth tablets to address access barriers in veterans. JAMIA Open. 2019;2(3):323-329. doi:10.1093/jamiaopen/ooz024

24. Malone NC, Williams MM, Smith Fawzi MC, et al. Mobile health clinics in the United States. Int J Equity Health. 2020;19(1):40. doi:10.1186/s12939-020-1135-7

25. US Department of Veterans Affairs. How to use My HealtheVet. Accessed November 3, 2022. https://www.myhealth.va.gov/mhv-portal-web/how-to-use-mhv

26. US Department of Veterans Affairs, Veterans Health Administration, Office of Patient Centered Care and Cultural Transformation. Whole health for life. 2017. Accessed November 3, 2022. https://www.va.gov/wholehealth/docs/2017-AR-Vet-Facing_FNL-W508.pdf27. Mortimer F, Isherwood J, Wilkinson A, Vaux E. Sustainability in quality improvement: redefining value. Future Healthc J. 2018;5(2):88-93. doi:10.7861/futurehosp.5-2-88

References

1. Centers for Medicare and Medicaid Services. Promoting interoperability programs. Updated October 6, 2022. Accessed November 3, 2022. https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms

2. American Hospital Association. Goals of the Medicare and Medicaid electronic health records programs. Accessed November 3, 2022. https://www.aha.org/websites/2009-12-11-goals-medicare-and-medicaid-electronic-health-records-programs

3. Rozenblum R, Donzé J, Hockey PM, et al. The impact of medical informatics on patient satisfaction: a USA-based literature review. Int J Med Inform. 2013;82(3):141-158. doi:10.1016/j.ijmedinf.2012.12.008

4. Stewart MT, Hogan TP, Nicklas J, et al. The promise of patient portals for individuals living with chronic illness: qualitative study identifying pathways of patient engagement. J Med Internet Res. 2020;22(7):e17744. Published 2020 Jul 17. doi:10.2196/17744

5. Harris LT, Haneuse SJ, Martin DP, Ralston JD. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis. Diabetes Care. 2009;32(7):1182-1187. doi:10.2337/dc08-1771

6. Robinson SA, Zocchi MS, Netherton D, et al. Secure messaging, diabetes self-management, and the importance of patient autonomy: a mixed methods study. J Gen Intern Med. 2020;35(10):2955-2962. doi:10.1007/s11606-020-05834-x

7. Zocchi MS, Robinson SA, Ash AS, et al. Patient portal engagement and diabetes management among new portal users in the Veterans Health Administration. J Am Med Inform Assoc. 2021;28(10):2176-2183. doi:10.1093/jamia/ocab115

8. Bao C, Bardhan IR, Singh H, Meyer BA, Kirksey K. Patient-provider engagement and its impact on health outcomes: a longitudinal study of patient portal use. MIS Quarterly. 2020;44(2):699-723. doi:10.25300/MISQ/2020/14180

9. Grossman LV, Masterson Creber RM, Benda NC, Wright D, Vawdrey DK, Ancker JS. Interventions to increase patient portal use in vulnerable populations: a systematic review. J Am Med Informs Assoc. 2019;26(8-9):855-870. doi:10.1093/jamia/ocz023

10. Zhao JY, Song B, Anand E, et al. Barriers, facilitators, and solutions to optimal patient portal and personal health record use: a systematic review of the literature. AMIA Annu Symp Proc. 2018;2017:1913-1922. Published 2018 Apr 16.

11. Zhong X, Park J, Liang M, et al. Characteristics of patients using different patient portal functions and the impact on primary care service utilization and appointment adherence: retrospective observational study. J Med Internet Res. 2020;22(2):e14410. Published 2020 Feb 25. doi:10.2196/14410

12. Krishnaswami A, Beavers C, Dorsch MP, et al. Gerotechnology for older adults with cardiovascular diseases. J Am Coll Cardiol. 2020;76(22):2650-2670. doi:10.1016/j.jacc.2020.09.606

13. Fix GM, Hogan TP, Amante DJ, McInnes DK, Nazi KM, Simon SR. Encouraging patient portal use in the patient-centered medical home: three stakeholder perspectives. J Med Internet Res. 2016;18(11):e308. Published 2016 Nov 22. doi:10.2196/jmir.6488

14. Ancker JS, Nosal S, Hauser D, Way C, Calman N. Access policy and the digital divide in patient access to medical records. Health Policy Technol. 2016;6(3-11). doi:10.1016/j.hlpt.2016.11.004

15. Rhudy C, Broxterman J, Stewart S, et al. Improving patient portal enrolment in an academic resident continuity clinic: quality improvement made simple. BMJ Open Qual. 2019;8(2):e000430. Published 2019 Apr 25. doi:10.1136/bmjoq-2018-000430

16. Kontos E, Blake KD, Chou WY, Prestin A. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res. 2014;16(7):e172. Published 2014 Jul 16. doi:10.2196/jmir.3117

17. National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice. The state of health disparities in the United States. In: Baciu A, Negussie Y, Geller A, et al, eds. Communities in Action: Pathways to Health Equity. National Academies Press (US); January 11, 2017. Accessed November 3, 2022. https://www.ncbi.nlm.nih.gov/books/NBK425848/

18. Pew Research Center. Internet/broadband fact sheet. Updated April 7, 2021. Accessed November 3, 2022. https://www.pewresearch.org/internet/fact-sheet/internet-broadband

19. Roberts ET, Mehrotra A. Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine. JAMA Intern Med. 2020;180(10):1386-1389. doi:10.1001/jamainternmed.2020.2666

20. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Veteran population. Updated September 7, 2022. Accessed November 3, 2022. https://www.va.gov/vetdata/veteran_population.asp

21. US Department of Veterans Affairs, Office of Rural Health. Rural veterans health care challenges. Updated March 31, 2022. Accessed November 3, 2022. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

22. US Department of Veterans Affairs, Office of Public and Intergovernmental Affairs. VA expands veteran access to telehealth with iPad services. Press release. September 15, 2020. Accessed November 3, 2022. https://www.va.gov/opa/pressrel/pressrelease.cfm?id=5521

23. Zulman DM, Wong EP, Slightam C, et al. Making connections: National implementation of video telehealth tablets to address access barriers in veterans. JAMIA Open. 2019;2(3):323-329. doi:10.1093/jamiaopen/ooz024

24. Malone NC, Williams MM, Smith Fawzi MC, et al. Mobile health clinics in the United States. Int J Equity Health. 2020;19(1):40. doi:10.1186/s12939-020-1135-7

25. US Department of Veterans Affairs. How to use My HealtheVet. Accessed November 3, 2022. https://www.myhealth.va.gov/mhv-portal-web/how-to-use-mhv

26. US Department of Veterans Affairs, Veterans Health Administration, Office of Patient Centered Care and Cultural Transformation. Whole health for life. 2017. Accessed November 3, 2022. https://www.va.gov/wholehealth/docs/2017-AR-Vet-Facing_FNL-W508.pdf27. Mortimer F, Isherwood J, Wilkinson A, Vaux E. Sustainability in quality improvement: redefining value. Future Healthc J. 2018;5(2):88-93. doi:10.7861/futurehosp.5-2-88

Issue
Federal Practitioner - 39(12)a
Issue
Federal Practitioner - 39(12)a
Page Number
476-481
Page Number
476-481
Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Pricey gene therapy looks cost-effective for SCD

Article Type
Changed

A gene therapy made headlines recently for becoming the most expensive pharmaceutical ever launched – the price tag was $3.5 million for a one-off treatment with etranacogene dezaparvovec (Hemgenix) for hemophilia B.

Another gene therapy, a treatment for sickle cell anemia now in late clinical development, is expected to come on the market soon. It, too, is expected to bear an exorbitant price tag.

Such potentially curative therapies put financial pressure on publicly and privately funded health insurance.

However, investigators said that the new treatment for patients with sickle cell disease (SCD) in the United States has the potential to be cost-effective. Those who analyzed the costs used a novel method that takes historical health inequities into account.

“When faced with costs of innovative, one-time-administered therapies, budgetary constraints, as we all know too well, can and have driven therapy availability or lack thereof for patients,” said George Goshua, MD, from the Yale University, New Haven, Conn., speaking here at the annual meeting of the American Society of Hematology.

“We believe that quantitative consideration of health inequities, in addition to the important quality considerations, may be an additional helpful metric in this decision-making context,” he said.

He noted that SCD predominantly affects Black Americans, “who have historically been a very marginalized population when it comes to health care.

“Our study shows that, when we compare the costs of gene therapy and existing standard-of-care treatment for SCD using a technique that accounts for historical health disparities, gene therapy could be an equitable therapeutic strategy for all patients with SCD, whether their disease is mild, moderate, or severe,” he said.

Commenting on the study for this news organization, Bosula Oluwole, MD, from the University of Washington, Seattle, who studies sickle cell disease but was not involved in this study, said the cost-analysis approach taken by Dr. Goshua and colleagues is interesting, but she added: “I think we still have a way to go in trying to fully understand the issue.

“When you look over time at the cost for a patient to get gene therapy vs. the standard of care, it might actually be beneficial to have the gene therapy,” Dr. Oluwole said.

She noted, however, that some patients start gene therapy for SCD at older ages and that it’s important to analyze whether the treatment can still be cost-effective or the best therapeutic option for such patients.
 

Adding a D to CEA

Dr. Goshua and colleagues at Yale University and the Harvard T.H. Chan School of Public Health in Boston conducted what they believe is the first study in hematology to use distributional cost-effectiveness analysis (DCEA), developed at the University of York, England.

A University of York website explains that DCEA “is a general umbrella term for economic evaluation studies that provide information about equity in the distribution of costs and effects as well as efficiency in terms of aggregate costs and effects. DCEA can provide distributional breakdowns of who gains most and who bears the largest burdens (opportunity costs) by equity-relevant social variables (e.g., socioeconomic status, ethnicity, location) and disease categories (e.g., severity of illness, rarity, disability).”

The technique can also employ equity weight to evaluate trade-offs between equity and efficiency, the website says.

As Dr. Goshua put it, equity weighting is “a way of quantifying how much we prioritize health care equity.”
 

 

 

QALYs considered

Dr. Goshua and colleagues included equity weight in an analysis of 10 years of data on annual health care costs for patients with SCD who were covered by private insurance and were treated with medications (for example, hydroxyurea), antibiotics, blood transfusion, and hematopoietic stem cell transplants. Sex and the frequency of hospitalizations for acute pain crises were factors in the Markov model they created.

The model assumes that a single course of gene therapy for SCD would cost $2.1 million. The estimate was based on the cost of U.S. Food and Drug Administration–approved gene therapies, and it was assumed that the therapy would result in permanent disease remission for all patients.

In addition, the model assumed that all eligible patients in the United States with SCD who are aged 12 years and older would be offered the gene therapy.

In their base-case analysis, gene therapy starting at age 12 would yield 25.5 discounted lifetime quality-adjusted life-years (QALYs) at a cost of $2.4 million, compared with 16.0 discounted lifetime QALYs at a cost of $1.1 million for standard care.

Under traditional cost-effectiveness calculations, the upper limit of the incremental cost-effectiveness ratio (ICER) is estimated to be $100,000 per QALY. Under this scenario, the ICER of gene therapy for SCD at $144,000 per QALY would be considered by health economists or insurers to be too steep a price to pay.

However, applying equity weighting to the formula would bring the price of gene therapy into the $1.4 million to $3 million range.

Dr. Goshua acknowledged that the study is limited by the assumption that gene therapy would be a one-time cost and that patients would not need to undergo repeat therapy or treatment for relapses.

Stephanie Lee, MD, MPH, from the Fred Hutchinson Cancer Center in Seattle, and a former ASH president, who moderated a briefing the day before Dr. Goshua presented his data, recommended that he and his colleagues use their technique to explore other health inequities, such as in the care of patients with multiple myeloma.

“There’s some evidence that Black patients are not using even the agents we have as [are] some of the other groups, so there may be some distributional inequities there as well,” she said.

The study was funded by ASH and the Yale School of Medicine. Dr. Goshua, Dr. Oluwole, and Dr. Lee have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Meeting/Event
Publications
Topics
Sections
Meeting/Event
Meeting/Event

A gene therapy made headlines recently for becoming the most expensive pharmaceutical ever launched – the price tag was $3.5 million for a one-off treatment with etranacogene dezaparvovec (Hemgenix) for hemophilia B.

Another gene therapy, a treatment for sickle cell anemia now in late clinical development, is expected to come on the market soon. It, too, is expected to bear an exorbitant price tag.

Such potentially curative therapies put financial pressure on publicly and privately funded health insurance.

However, investigators said that the new treatment for patients with sickle cell disease (SCD) in the United States has the potential to be cost-effective. Those who analyzed the costs used a novel method that takes historical health inequities into account.

“When faced with costs of innovative, one-time-administered therapies, budgetary constraints, as we all know too well, can and have driven therapy availability or lack thereof for patients,” said George Goshua, MD, from the Yale University, New Haven, Conn., speaking here at the annual meeting of the American Society of Hematology.

“We believe that quantitative consideration of health inequities, in addition to the important quality considerations, may be an additional helpful metric in this decision-making context,” he said.

He noted that SCD predominantly affects Black Americans, “who have historically been a very marginalized population when it comes to health care.

“Our study shows that, when we compare the costs of gene therapy and existing standard-of-care treatment for SCD using a technique that accounts for historical health disparities, gene therapy could be an equitable therapeutic strategy for all patients with SCD, whether their disease is mild, moderate, or severe,” he said.

Commenting on the study for this news organization, Bosula Oluwole, MD, from the University of Washington, Seattle, who studies sickle cell disease but was not involved in this study, said the cost-analysis approach taken by Dr. Goshua and colleagues is interesting, but she added: “I think we still have a way to go in trying to fully understand the issue.

“When you look over time at the cost for a patient to get gene therapy vs. the standard of care, it might actually be beneficial to have the gene therapy,” Dr. Oluwole said.

She noted, however, that some patients start gene therapy for SCD at older ages and that it’s important to analyze whether the treatment can still be cost-effective or the best therapeutic option for such patients.
 

Adding a D to CEA

Dr. Goshua and colleagues at Yale University and the Harvard T.H. Chan School of Public Health in Boston conducted what they believe is the first study in hematology to use distributional cost-effectiveness analysis (DCEA), developed at the University of York, England.

A University of York website explains that DCEA “is a general umbrella term for economic evaluation studies that provide information about equity in the distribution of costs and effects as well as efficiency in terms of aggregate costs and effects. DCEA can provide distributional breakdowns of who gains most and who bears the largest burdens (opportunity costs) by equity-relevant social variables (e.g., socioeconomic status, ethnicity, location) and disease categories (e.g., severity of illness, rarity, disability).”

The technique can also employ equity weight to evaluate trade-offs between equity and efficiency, the website says.

As Dr. Goshua put it, equity weighting is “a way of quantifying how much we prioritize health care equity.”
 

 

 

QALYs considered

Dr. Goshua and colleagues included equity weight in an analysis of 10 years of data on annual health care costs for patients with SCD who were covered by private insurance and were treated with medications (for example, hydroxyurea), antibiotics, blood transfusion, and hematopoietic stem cell transplants. Sex and the frequency of hospitalizations for acute pain crises were factors in the Markov model they created.

The model assumes that a single course of gene therapy for SCD would cost $2.1 million. The estimate was based on the cost of U.S. Food and Drug Administration–approved gene therapies, and it was assumed that the therapy would result in permanent disease remission for all patients.

In addition, the model assumed that all eligible patients in the United States with SCD who are aged 12 years and older would be offered the gene therapy.

In their base-case analysis, gene therapy starting at age 12 would yield 25.5 discounted lifetime quality-adjusted life-years (QALYs) at a cost of $2.4 million, compared with 16.0 discounted lifetime QALYs at a cost of $1.1 million for standard care.

Under traditional cost-effectiveness calculations, the upper limit of the incremental cost-effectiveness ratio (ICER) is estimated to be $100,000 per QALY. Under this scenario, the ICER of gene therapy for SCD at $144,000 per QALY would be considered by health economists or insurers to be too steep a price to pay.

However, applying equity weighting to the formula would bring the price of gene therapy into the $1.4 million to $3 million range.

Dr. Goshua acknowledged that the study is limited by the assumption that gene therapy would be a one-time cost and that patients would not need to undergo repeat therapy or treatment for relapses.

Stephanie Lee, MD, MPH, from the Fred Hutchinson Cancer Center in Seattle, and a former ASH president, who moderated a briefing the day before Dr. Goshua presented his data, recommended that he and his colleagues use their technique to explore other health inequities, such as in the care of patients with multiple myeloma.

“There’s some evidence that Black patients are not using even the agents we have as [are] some of the other groups, so there may be some distributional inequities there as well,” she said.

The study was funded by ASH and the Yale School of Medicine. Dr. Goshua, Dr. Oluwole, and Dr. Lee have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A gene therapy made headlines recently for becoming the most expensive pharmaceutical ever launched – the price tag was $3.5 million for a one-off treatment with etranacogene dezaparvovec (Hemgenix) for hemophilia B.

Another gene therapy, a treatment for sickle cell anemia now in late clinical development, is expected to come on the market soon. It, too, is expected to bear an exorbitant price tag.

Such potentially curative therapies put financial pressure on publicly and privately funded health insurance.

However, investigators said that the new treatment for patients with sickle cell disease (SCD) in the United States has the potential to be cost-effective. Those who analyzed the costs used a novel method that takes historical health inequities into account.

“When faced with costs of innovative, one-time-administered therapies, budgetary constraints, as we all know too well, can and have driven therapy availability or lack thereof for patients,” said George Goshua, MD, from the Yale University, New Haven, Conn., speaking here at the annual meeting of the American Society of Hematology.

“We believe that quantitative consideration of health inequities, in addition to the important quality considerations, may be an additional helpful metric in this decision-making context,” he said.

He noted that SCD predominantly affects Black Americans, “who have historically been a very marginalized population when it comes to health care.

“Our study shows that, when we compare the costs of gene therapy and existing standard-of-care treatment for SCD using a technique that accounts for historical health disparities, gene therapy could be an equitable therapeutic strategy for all patients with SCD, whether their disease is mild, moderate, or severe,” he said.

Commenting on the study for this news organization, Bosula Oluwole, MD, from the University of Washington, Seattle, who studies sickle cell disease but was not involved in this study, said the cost-analysis approach taken by Dr. Goshua and colleagues is interesting, but she added: “I think we still have a way to go in trying to fully understand the issue.

“When you look over time at the cost for a patient to get gene therapy vs. the standard of care, it might actually be beneficial to have the gene therapy,” Dr. Oluwole said.

She noted, however, that some patients start gene therapy for SCD at older ages and that it’s important to analyze whether the treatment can still be cost-effective or the best therapeutic option for such patients.
 

Adding a D to CEA

Dr. Goshua and colleagues at Yale University and the Harvard T.H. Chan School of Public Health in Boston conducted what they believe is the first study in hematology to use distributional cost-effectiveness analysis (DCEA), developed at the University of York, England.

A University of York website explains that DCEA “is a general umbrella term for economic evaluation studies that provide information about equity in the distribution of costs and effects as well as efficiency in terms of aggregate costs and effects. DCEA can provide distributional breakdowns of who gains most and who bears the largest burdens (opportunity costs) by equity-relevant social variables (e.g., socioeconomic status, ethnicity, location) and disease categories (e.g., severity of illness, rarity, disability).”

The technique can also employ equity weight to evaluate trade-offs between equity and efficiency, the website says.

As Dr. Goshua put it, equity weighting is “a way of quantifying how much we prioritize health care equity.”
 

 

 

QALYs considered

Dr. Goshua and colleagues included equity weight in an analysis of 10 years of data on annual health care costs for patients with SCD who were covered by private insurance and were treated with medications (for example, hydroxyurea), antibiotics, blood transfusion, and hematopoietic stem cell transplants. Sex and the frequency of hospitalizations for acute pain crises were factors in the Markov model they created.

The model assumes that a single course of gene therapy for SCD would cost $2.1 million. The estimate was based on the cost of U.S. Food and Drug Administration–approved gene therapies, and it was assumed that the therapy would result in permanent disease remission for all patients.

In addition, the model assumed that all eligible patients in the United States with SCD who are aged 12 years and older would be offered the gene therapy.

In their base-case analysis, gene therapy starting at age 12 would yield 25.5 discounted lifetime quality-adjusted life-years (QALYs) at a cost of $2.4 million, compared with 16.0 discounted lifetime QALYs at a cost of $1.1 million for standard care.

Under traditional cost-effectiveness calculations, the upper limit of the incremental cost-effectiveness ratio (ICER) is estimated to be $100,000 per QALY. Under this scenario, the ICER of gene therapy for SCD at $144,000 per QALY would be considered by health economists or insurers to be too steep a price to pay.

However, applying equity weighting to the formula would bring the price of gene therapy into the $1.4 million to $3 million range.

Dr. Goshua acknowledged that the study is limited by the assumption that gene therapy would be a one-time cost and that patients would not need to undergo repeat therapy or treatment for relapses.

Stephanie Lee, MD, MPH, from the Fred Hutchinson Cancer Center in Seattle, and a former ASH president, who moderated a briefing the day before Dr. Goshua presented his data, recommended that he and his colleagues use their technique to explore other health inequities, such as in the care of patients with multiple myeloma.

“There’s some evidence that Black patients are not using even the agents we have as [are] some of the other groups, so there may be some distributional inequities there as well,” she said.

The study was funded by ASH and the Yale School of Medicine. Dr. Goshua, Dr. Oluwole, and Dr. Lee have disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

AT ASH 2022

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Have you heard of VEXAS syndrome?

Article Type
Changed

First described in 2020 by researchers from the U.S. National Institutes of Health, VEXAS syndrome is a systemic autoinflammatory disease of undefined origin. Its name is an acronym: Vacuoles, E1 enzyme, X-linked, Autoinflammatory, Somatic. The prevalence of this syndrome is unknown, but it is not so rare. As it is an X-linked disease, men are predominantly affected.

First identification

The NIH team screened the exomes and genomes of 2,560 individuals. Of this group, 1,477 had been referred because of undiagnosed recurrent fevers, systemic inflammation, or both, and 1,083 were affected by atypical, unclassified disorders. The researchers identified 25 men with a somatic mutation in the ubiquitin-like modifier activating enzyme 1 (UBA1) gene, which is involved in the protein ubiquitylation system. This posttranslational modification has a pleiotropic function that likely explains the clinical heterogeneity seen in VEXAS patients: regulation of protein turnover, especially those involved in the cell cycle, cell death, and signal transduction. Ubiquitylation is also involved in nonproteolytic functions, such as assembly of multiprotein complexes, intracellular signaling, inflammatory signaling, and DNA repair.

Clinical presentation

The clinicobiological presentation of VEXAS syndrome is very heterogeneous. Typically, patients present with a systemic inflammatory disease with unexplained episodes of fever, involvement of the lungs, skin, blood vessels, and joints. Molecular diagnosis is made by the sequencing of UBA1.

Most patients present with the characteristic clinical signs of other inflammatory diseases, such as polyarteritis nodosa and recurrent polychondritis. But VEXAS patients are at high risk of developing hematologic conditions. Indeed, the following were seen among the 25 participants in the NIH study: macrocytic anemia (96%), venous thromboembolism (44%), myelodysplastic syndrome (24%), and multiple myeloma or monoclonal gammopathy of undetermined significance (20%).

In VEXAS patients, levels of serum inflammatory markers are increased. These markers include tumor necrosis factor, interleukin-8, interleukin-6, interferon-inducible protein-10, interferon-gamma, C-reactive protein. In addition, there is aberrant activation of innate immune-signaling pathways.

In a large-scale analysis of a multicenter case series of 116 French patients, researchers found that VEXAS syndrome primarily affected men. The disease was progressive, and onset occurred after age 50 years. These patients can be divided into three phenotypically distinct clusters on the basis of integration of clinical and biological data. In the 58 cases in which myelodysplastic syndrome was present, the mortality rates were higher. The researchers also reported that the UBA1 p.Met41L mutation was associated with a better prognosis.
 

Treatment data

VEXAS syndrome resists the classical therapeutic arsenal. Patients require high-dose glucocorticoids, and prognosis appears to be poor. The available treatment data are retrospective. Of the 25 participants in the NIH study, 40% died within 5 years from disease-related causes or complications related to treatment. Among the promising therapeutic avenues is the use of inhibitors of the Janus kinase pathway.

This article was translated from Univadis France. A version of this article appeared on Medscape.com.

Publications
Topics
Sections

First described in 2020 by researchers from the U.S. National Institutes of Health, VEXAS syndrome is a systemic autoinflammatory disease of undefined origin. Its name is an acronym: Vacuoles, E1 enzyme, X-linked, Autoinflammatory, Somatic. The prevalence of this syndrome is unknown, but it is not so rare. As it is an X-linked disease, men are predominantly affected.

First identification

The NIH team screened the exomes and genomes of 2,560 individuals. Of this group, 1,477 had been referred because of undiagnosed recurrent fevers, systemic inflammation, or both, and 1,083 were affected by atypical, unclassified disorders. The researchers identified 25 men with a somatic mutation in the ubiquitin-like modifier activating enzyme 1 (UBA1) gene, which is involved in the protein ubiquitylation system. This posttranslational modification has a pleiotropic function that likely explains the clinical heterogeneity seen in VEXAS patients: regulation of protein turnover, especially those involved in the cell cycle, cell death, and signal transduction. Ubiquitylation is also involved in nonproteolytic functions, such as assembly of multiprotein complexes, intracellular signaling, inflammatory signaling, and DNA repair.

Clinical presentation

The clinicobiological presentation of VEXAS syndrome is very heterogeneous. Typically, patients present with a systemic inflammatory disease with unexplained episodes of fever, involvement of the lungs, skin, blood vessels, and joints. Molecular diagnosis is made by the sequencing of UBA1.

Most patients present with the characteristic clinical signs of other inflammatory diseases, such as polyarteritis nodosa and recurrent polychondritis. But VEXAS patients are at high risk of developing hematologic conditions. Indeed, the following were seen among the 25 participants in the NIH study: macrocytic anemia (96%), venous thromboembolism (44%), myelodysplastic syndrome (24%), and multiple myeloma or monoclonal gammopathy of undetermined significance (20%).

In VEXAS patients, levels of serum inflammatory markers are increased. These markers include tumor necrosis factor, interleukin-8, interleukin-6, interferon-inducible protein-10, interferon-gamma, C-reactive protein. In addition, there is aberrant activation of innate immune-signaling pathways.

In a large-scale analysis of a multicenter case series of 116 French patients, researchers found that VEXAS syndrome primarily affected men. The disease was progressive, and onset occurred after age 50 years. These patients can be divided into three phenotypically distinct clusters on the basis of integration of clinical and biological data. In the 58 cases in which myelodysplastic syndrome was present, the mortality rates were higher. The researchers also reported that the UBA1 p.Met41L mutation was associated with a better prognosis.
 

Treatment data

VEXAS syndrome resists the classical therapeutic arsenal. Patients require high-dose glucocorticoids, and prognosis appears to be poor. The available treatment data are retrospective. Of the 25 participants in the NIH study, 40% died within 5 years from disease-related causes or complications related to treatment. Among the promising therapeutic avenues is the use of inhibitors of the Janus kinase pathway.

This article was translated from Univadis France. A version of this article appeared on Medscape.com.

First described in 2020 by researchers from the U.S. National Institutes of Health, VEXAS syndrome is a systemic autoinflammatory disease of undefined origin. Its name is an acronym: Vacuoles, E1 enzyme, X-linked, Autoinflammatory, Somatic. The prevalence of this syndrome is unknown, but it is not so rare. As it is an X-linked disease, men are predominantly affected.

First identification

The NIH team screened the exomes and genomes of 2,560 individuals. Of this group, 1,477 had been referred because of undiagnosed recurrent fevers, systemic inflammation, or both, and 1,083 were affected by atypical, unclassified disorders. The researchers identified 25 men with a somatic mutation in the ubiquitin-like modifier activating enzyme 1 (UBA1) gene, which is involved in the protein ubiquitylation system. This posttranslational modification has a pleiotropic function that likely explains the clinical heterogeneity seen in VEXAS patients: regulation of protein turnover, especially those involved in the cell cycle, cell death, and signal transduction. Ubiquitylation is also involved in nonproteolytic functions, such as assembly of multiprotein complexes, intracellular signaling, inflammatory signaling, and DNA repair.

Clinical presentation

The clinicobiological presentation of VEXAS syndrome is very heterogeneous. Typically, patients present with a systemic inflammatory disease with unexplained episodes of fever, involvement of the lungs, skin, blood vessels, and joints. Molecular diagnosis is made by the sequencing of UBA1.

Most patients present with the characteristic clinical signs of other inflammatory diseases, such as polyarteritis nodosa and recurrent polychondritis. But VEXAS patients are at high risk of developing hematologic conditions. Indeed, the following were seen among the 25 participants in the NIH study: macrocytic anemia (96%), venous thromboembolism (44%), myelodysplastic syndrome (24%), and multiple myeloma or monoclonal gammopathy of undetermined significance (20%).

In VEXAS patients, levels of serum inflammatory markers are increased. These markers include tumor necrosis factor, interleukin-8, interleukin-6, interferon-inducible protein-10, interferon-gamma, C-reactive protein. In addition, there is aberrant activation of innate immune-signaling pathways.

In a large-scale analysis of a multicenter case series of 116 French patients, researchers found that VEXAS syndrome primarily affected men. The disease was progressive, and onset occurred after age 50 years. These patients can be divided into three phenotypically distinct clusters on the basis of integration of clinical and biological data. In the 58 cases in which myelodysplastic syndrome was present, the mortality rates were higher. The researchers also reported that the UBA1 p.Met41L mutation was associated with a better prognosis.
 

Treatment data

VEXAS syndrome resists the classical therapeutic arsenal. Patients require high-dose glucocorticoids, and prognosis appears to be poor. The available treatment data are retrospective. Of the 25 participants in the NIH study, 40% died within 5 years from disease-related causes or complications related to treatment. Among the promising therapeutic avenues is the use of inhibitors of the Janus kinase pathway.

This article was translated from Univadis France. A version of this article appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article