Mental Health

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Chronic pain is more prevalent in the US than diabetes mellitus, cancer, and cardiovascular disease combined, impacting about 100 million adults.¹ The annual cost of all that pain in the US is between $560 and $635 billion.¹

The high prevalence of chronic pain among active duty service members and veterans remains a pressing concern given its negative impact on military readiness, health care utilization, productivity, quality of life, and chronic disability rates.² Pain was found to be the leading complaint of service members returning from Operations Iraqi Freedom and Enduring Freedomand 44% of veterans returning from deployment suffered with chronic pain.^3,4

Chronic pain often occurs in the presence of comorbidities. In one study for example, 45% of primary care patients with chronic pain (N = 250) screened positive for ≥ 1 of the 5 types of common anxiety disorders, and those with anxiety disorder had higher pain scores.⁵ Another study involving almost 6000 participants found that anxiety disorders were present in 35% of people with chronic pain compared with 18% in the general population.⁶

In addition, military members are prone to depression with a rate of major depressive disorder that is 5% higher than that of civilians.⁷ Depression often is underdiagnosed and undertreated. According to a National Center for Health Statistics, only 35% of those with symptoms of severe depression in the US saw a mental health provider in the previous year.⁸ Comorbid depression, anxiety, and chronic pain are strongly associated with more severe pain, greater disability, and poorer health-related quality of life.⁹

As a result, there was a call for system-level interventions to increase access to, and continuity of, mental health care services for active duty service members and veterans.¹ It has been recommended that depression and anxiety screenings take place in primary and secondary care clinics.¹⁰ Standardized referral processes also are needed to enhance mental health diagnosis and referral techniques.¹¹ Although various screening tools are available that have excellent reliability and construct validity (eg, General Anxiety Disorder-7 [GAD-7], Patient Health Questionnaire-9 [PHQ-9]), they are underutilized.¹² I have witnessed a noticeable gap between clinical practice guidelines and current practice associated with chronic pain and screening for anxiety and depression within the Pain Management Clinic at Navy Medical Center of Camp Lejeune (NMCCL) in North Carolina.

Methods

The premise of this performance improvement (PI) project was to reduce missed opportunities of screening for anxiety and depression, and to examine the impact of the standardized use of the GAD-7 and PHQ-9 on the rate of mental health care referrals. The Theory of Unpleasant Symptoms was chosen as the underpinning of the project because it suggests that symptoms often cluster, and that the occurrence of multiple symptoms makes each of those, as well as other symptoms, worse.¹³ The PI model used the find, organize, clarify, understand, select (FOCUS), and plan, do, check, act (PDCA) models.¹⁴ The facility institutional review board ruled that this performance improvement project did not qualify as human research.

Inclusion and exclusion criteria

Patients were included if they were active duty service members aged 18 to 56 years at the initial patient encounter. Veterans and dependents were not part of the sample because of the high clinic volume. Patients who received mental health care services within the previous 90 days were excluded.

Registered nurses, licensed practical nurses, US Navy corpsman, medical assistants, and nurse aides were educated on the purpose of the GAD-7 and PHQ-9 and were instructed to have patients complete them upon every new patient encounter. A retrospective chart review was conducted over a 6-week time frame to collect and analyze de-identified demographic data including age, gender, prior deployment (yes or no), and branch of service. The review also examined whether the patient had received mental health care services, whether the screening instruments were completed, and whether a mental health referral was made. The clinic providers were asked to consider mental health care referrals for patients who scored ≥ 10 on either the GAD-7 or PHQ-9. The frequency of the use of the instruments and the number of mental health referrals made was calculated during the 3-week period before and after the standardized use of the instruments. The author conducted audits of the new patient charts at the end of each work day to assess whether the GAD-7 and PHQ-9 were completed.

Results

There were 117 new patient encounters during the 6-week project period. Thirty-three patients were excluded from the sample, leaving a remaining sample of 84. Thirty-two patients were included in the sample prior to the standardized use of the instruments, and 52 were included afterward (Table).

Prior to the standardized use of the screening tools, the GAD-7 was used during 75% of patient visits for pain and the PHQ-9 was used during 25%, reinforcing the premise of unpredictable utilization of the screening tools. Three mental health referrals were made during the 3-week period prior to the standardized use of the anxiety and depression instruments (3/32, 10%). After the standardized implementation of the GAD-7 and PHQ-9 tools, both instruments were used 98% of the time, and mental health referrals were made for 12 of 52 patients (23.1%). Eleven of the referrals were made based upon the trigger score of 10 on either the GAD-7 or PHQ-9. One referral was made for a patient with a score of 9 on the PHQ-9 because the provider determined a need for pain-related psychological services.

It was important to provide a link to mental health care because, as one study found, patients with a specific anxiety diagnosis are much more likely than those diagnosed with a not otherwise specified anxiety disorder to receive mental health care services (60% to 67% vs 37%).¹¹ Similarly, patients diagnosed in specialty mental health care settings are more likely to receive mental health services than are those diagnosed in primary care.¹¹ By the same token, experts estimate that 50% of those with severe depression symptoms are not properly diagnosed or treated in primary care.¹⁵

Strengths and Limitations

Utilization of the screening tools has led to further dialogue between patients and providers that anecdotally revealed suicidal ideation in some patients. Future studies could incorporate a qualitative component to include clinician and patient perceptions of mental health care services.

The study was limited by the lack of follow-up data to determine the effect of mental health care services on pain, function, or military readiness. Also, it is unclear whether education alone impacted the referral rate.

The author shared the outcomes of this PI project with fellow professionals at NMCCL. As a team, we explored ways for military to link with mental health care within their commands. The process of using these instruments is easily transferable to other clinics with no extraordinary cost.

Conclusion

The economic burden of major depressive disorder in the US has risen 21.5% from 2005 to 2010.¹⁶ Unfortunately, only 35% of those with symptoms of severe depression had contact with a mental health professional in the past year.⁸ Avoiding missing opportunities to screen for mental health conditions can decrease the disease burden. The GAD-7 and PHQ-9 are relatively cost free and are deemed reliable and valid for screening for, and determining the severity of, symptoms of anxiety and depression.¹² The evidence suggests that screening for, and early recognition of, mental illness, are critical parts of evidence-based practice and provide the most cost-effective care.¹⁶

This PI project demonstrated that the standardized use of the GAD-7 and PHQ-9 during patient visits for pain did improve adherence to guidelines and resulted in a significant increase in the rate of mental health referrals from 10% to 23.1%. This information is valuable because a score of ≥ 10 on either screening instrument is considered the optimal cutoff for diagnosing and determining severity of anxiety and depression symptoms.¹² The US Department of Veterans Affairs (VA) and the US Department of Defense (DoD) have jointly developed clinical practice guidelines, which recommend that interventions, such as behavioral therapies or first-line pharmacologic treatment, be offered to patients with mild to moderate symptoms of depression.¹⁷ The VA/DoD guidelines for low back pain suggest screening for mental health disorders.² For these reasons, the standardized use of the screening instruments remains in place within the pain management clinic at NMCCL.

Chronic pain is more prevalent in the US than diabetes mellitus, cancer, and cardiovascular disease combined, impacting about 100 million adults.¹ The annual cost of all that pain in the US is between $560 and $635 billion.¹

The high prevalence of chronic pain among active duty service members and veterans remains a pressing concern given its negative impact on military readiness, health care utilization, productivity, quality of life, and chronic disability rates.² Pain was found to be the leading complaint of service members returning from Operations Iraqi Freedom and Enduring Freedomand 44% of veterans returning from deployment suffered with chronic pain.^3,4

Chronic pain often occurs in the presence of comorbidities. In one study for example, 45% of primary care patients with chronic pain (N = 250) screened positive for ≥ 1 of the 5 types of common anxiety disorders, and those with anxiety disorder had higher pain scores.⁵ Another study involving almost 6000 participants found that anxiety disorders were present in 35% of people with chronic pain compared with 18% in the general population.⁶

In addition, military members are prone to depression with a rate of major depressive disorder that is 5% higher than that of civilians.⁷ Depression often is underdiagnosed and undertreated. According to a National Center for Health Statistics, only 35% of those with symptoms of severe depression in the US saw a mental health provider in the previous year.⁸ Comorbid depression, anxiety, and chronic pain are strongly associated with more severe pain, greater disability, and poorer health-related quality of life.⁹

As a result, there was a call for system-level interventions to increase access to, and continuity of, mental health care services for active duty service members and veterans.¹ It has been recommended that depression and anxiety screenings take place in primary and secondary care clinics.¹⁰ Standardized referral processes also are needed to enhance mental health diagnosis and referral techniques.¹¹ Although various screening tools are available that have excellent reliability and construct validity (eg, General Anxiety Disorder-7 [GAD-7], Patient Health Questionnaire-9 [PHQ-9]), they are underutilized.¹² I have witnessed a noticeable gap between clinical practice guidelines and current practice associated with chronic pain and screening for anxiety and depression within the Pain Management Clinic at Navy Medical Center of Camp Lejeune (NMCCL) in North Carolina.

Methods

The premise of this performance improvement (PI) project was to reduce missed opportunities of screening for anxiety and depression, and to examine the impact of the standardized use of the GAD-7 and PHQ-9 on the rate of mental health care referrals. The Theory of Unpleasant Symptoms was chosen as the underpinning of the project because it suggests that symptoms often cluster, and that the occurrence of multiple symptoms makes each of those, as well as other symptoms, worse.¹³ The PI model used the find, organize, clarify, understand, select (FOCUS), and plan, do, check, act (PDCA) models.¹⁴ The facility institutional review board ruled that this performance improvement project did not qualify as human research.

Inclusion and exclusion criteria

Patients were included if they were active duty service members aged 18 to 56 years at the initial patient encounter. Veterans and dependents were not part of the sample because of the high clinic volume. Patients who received mental health care services within the previous 90 days were excluded.

Registered nurses, licensed practical nurses, US Navy corpsman, medical assistants, and nurse aides were educated on the purpose of the GAD-7 and PHQ-9 and were instructed to have patients complete them upon every new patient encounter. A retrospective chart review was conducted over a 6-week time frame to collect and analyze de-identified demographic data including age, gender, prior deployment (yes or no), and branch of service. The review also examined whether the patient had received mental health care services, whether the screening instruments were completed, and whether a mental health referral was made. The clinic providers were asked to consider mental health care referrals for patients who scored ≥ 10 on either the GAD-7 or PHQ-9. The frequency of the use of the instruments and the number of mental health referrals made was calculated during the 3-week period before and after the standardized use of the instruments. The author conducted audits of the new patient charts at the end of each work day to assess whether the GAD-7 and PHQ-9 were completed.

Results

There were 117 new patient encounters during the 6-week project period. Thirty-three patients were excluded from the sample, leaving a remaining sample of 84. Thirty-two patients were included in the sample prior to the standardized use of the instruments, and 52 were included afterward (Table).

Prior to the standardized use of the screening tools, the GAD-7 was used during 75% of patient visits for pain and the PHQ-9 was used during 25%, reinforcing the premise of unpredictable utilization of the screening tools. Three mental health referrals were made during the 3-week period prior to the standardized use of the anxiety and depression instruments (3/32, 10%). After the standardized implementation of the GAD-7 and PHQ-9 tools, both instruments were used 98% of the time, and mental health referrals were made for 12 of 52 patients (23.1%). Eleven of the referrals were made based upon the trigger score of 10 on either the GAD-7 or PHQ-9. One referral was made for a patient with a score of 9 on the PHQ-9 because the provider determined a need for pain-related psychological services.

It was important to provide a link to mental health care because, as one study found, patients with a specific anxiety diagnosis are much more likely than those diagnosed with a not otherwise specified anxiety disorder to receive mental health care services (60% to 67% vs 37%).¹¹ Similarly, patients diagnosed in specialty mental health care settings are more likely to receive mental health services than are those diagnosed in primary care.¹¹ By the same token, experts estimate that 50% of those with severe depression symptoms are not properly diagnosed or treated in primary care.¹⁵

Strengths and Limitations

Utilization of the screening tools has led to further dialogue between patients and providers that anecdotally revealed suicidal ideation in some patients. Future studies could incorporate a qualitative component to include clinician and patient perceptions of mental health care services.

The study was limited by the lack of follow-up data to determine the effect of mental health care services on pain, function, or military readiness. Also, it is unclear whether education alone impacted the referral rate.

The author shared the outcomes of this PI project with fellow professionals at NMCCL. As a team, we explored ways for military to link with mental health care within their commands. The process of using these instruments is easily transferable to other clinics with no extraordinary cost.

Conclusion

The economic burden of major depressive disorder in the US has risen 21.5% from 2005 to 2010.¹⁶ Unfortunately, only 35% of those with symptoms of severe depression had contact with a mental health professional in the past year.⁸ Avoiding missing opportunities to screen for mental health conditions can decrease the disease burden. The GAD-7 and PHQ-9 are relatively cost free and are deemed reliable and valid for screening for, and determining the severity of, symptoms of anxiety and depression.¹² The evidence suggests that screening for, and early recognition of, mental illness, are critical parts of evidence-based practice and provide the most cost-effective care.¹⁶

This PI project demonstrated that the standardized use of the GAD-7 and PHQ-9 during patient visits for pain did improve adherence to guidelines and resulted in a significant increase in the rate of mental health referrals from 10% to 23.1%. This information is valuable because a score of ≥ 10 on either screening instrument is considered the optimal cutoff for diagnosing and determining severity of anxiety and depression symptoms.¹² The US Department of Veterans Affairs (VA) and the US Department of Defense (DoD) have jointly developed clinical practice guidelines, which recommend that interventions, such as behavioral therapies or first-line pharmacologic treatment, be offered to patients with mild to moderate symptoms of depression.¹⁷ The VA/DoD guidelines for low back pain suggest screening for mental health disorders.² For these reasons, the standardized use of the screening instruments remains in place within the pain management clinic at NMCCL.

Chronic pain is more prevalent in the US than diabetes mellitus, cancer, and cardiovascular disease combined, impacting about 100 million adults.¹ The annual cost of all that pain in the US is between $560 and $635 billion.¹

The high prevalence of chronic pain among active duty service members and veterans remains a pressing concern given its negative impact on military readiness, health care utilization, productivity, quality of life, and chronic disability rates.² Pain was found to be the leading complaint of service members returning from Operations Iraqi Freedom and Enduring Freedomand 44% of veterans returning from deployment suffered with chronic pain.^3,4

Chronic pain often occurs in the presence of comorbidities. In one study for example, 45% of primary care patients with chronic pain (N = 250) screened positive for ≥ 1 of the 5 types of common anxiety disorders, and those with anxiety disorder had higher pain scores.⁵ Another study involving almost 6000 participants found that anxiety disorders were present in 35% of people with chronic pain compared with 18% in the general population.⁶

In addition, military members are prone to depression with a rate of major depressive disorder that is 5% higher than that of civilians.⁷ Depression often is underdiagnosed and undertreated. According to a National Center for Health Statistics, only 35% of those with symptoms of severe depression in the US saw a mental health provider in the previous year.⁸ Comorbid depression, anxiety, and chronic pain are strongly associated with more severe pain, greater disability, and poorer health-related quality of life.⁹

As a result, there was a call for system-level interventions to increase access to, and continuity of, mental health care services for active duty service members and veterans.¹ It has been recommended that depression and anxiety screenings take place in primary and secondary care clinics.¹⁰ Standardized referral processes also are needed to enhance mental health diagnosis and referral techniques.¹¹ Although various screening tools are available that have excellent reliability and construct validity (eg, General Anxiety Disorder-7 [GAD-7], Patient Health Questionnaire-9 [PHQ-9]), they are underutilized.¹² I have witnessed a noticeable gap between clinical practice guidelines and current practice associated with chronic pain and screening for anxiety and depression within the Pain Management Clinic at Navy Medical Center of Camp Lejeune (NMCCL) in North Carolina.

Methods

The premise of this performance improvement (PI) project was to reduce missed opportunities of screening for anxiety and depression, and to examine the impact of the standardized use of the GAD-7 and PHQ-9 on the rate of mental health care referrals. The Theory of Unpleasant Symptoms was chosen as the underpinning of the project because it suggests that symptoms often cluster, and that the occurrence of multiple symptoms makes each of those, as well as other symptoms, worse.¹³ The PI model used the find, organize, clarify, understand, select (FOCUS), and plan, do, check, act (PDCA) models.¹⁴ The facility institutional review board ruled that this performance improvement project did not qualify as human research.

Inclusion and exclusion criteria

Patients were included if they were active duty service members aged 18 to 56 years at the initial patient encounter. Veterans and dependents were not part of the sample because of the high clinic volume. Patients who received mental health care services within the previous 90 days were excluded.

Registered nurses, licensed practical nurses, US Navy corpsman, medical assistants, and nurse aides were educated on the purpose of the GAD-7 and PHQ-9 and were instructed to have patients complete them upon every new patient encounter. A retrospective chart review was conducted over a 6-week time frame to collect and analyze de-identified demographic data including age, gender, prior deployment (yes or no), and branch of service. The review also examined whether the patient had received mental health care services, whether the screening instruments were completed, and whether a mental health referral was made. The clinic providers were asked to consider mental health care referrals for patients who scored ≥ 10 on either the GAD-7 or PHQ-9. The frequency of the use of the instruments and the number of mental health referrals made was calculated during the 3-week period before and after the standardized use of the instruments. The author conducted audits of the new patient charts at the end of each work day to assess whether the GAD-7 and PHQ-9 were completed.

Results

There were 117 new patient encounters during the 6-week project period. Thirty-three patients were excluded from the sample, leaving a remaining sample of 84. Thirty-two patients were included in the sample prior to the standardized use of the instruments, and 52 were included afterward (Table).

Prior to the standardized use of the screening tools, the GAD-7 was used during 75% of patient visits for pain and the PHQ-9 was used during 25%, reinforcing the premise of unpredictable utilization of the screening tools. Three mental health referrals were made during the 3-week period prior to the standardized use of the anxiety and depression instruments (3/32, 10%). After the standardized implementation of the GAD-7 and PHQ-9 tools, both instruments were used 98% of the time, and mental health referrals were made for 12 of 52 patients (23.1%). Eleven of the referrals were made based upon the trigger score of 10 on either the GAD-7 or PHQ-9. One referral was made for a patient with a score of 9 on the PHQ-9 because the provider determined a need for pain-related psychological services.

It was important to provide a link to mental health care because, as one study found, patients with a specific anxiety diagnosis are much more likely than those diagnosed with a not otherwise specified anxiety disorder to receive mental health care services (60% to 67% vs 37%).¹¹ Similarly, patients diagnosed in specialty mental health care settings are more likely to receive mental health services than are those diagnosed in primary care.¹¹ By the same token, experts estimate that 50% of those with severe depression symptoms are not properly diagnosed or treated in primary care.¹⁵

Strengths and Limitations

Utilization of the screening tools has led to further dialogue between patients and providers that anecdotally revealed suicidal ideation in some patients. Future studies could incorporate a qualitative component to include clinician and patient perceptions of mental health care services.

The study was limited by the lack of follow-up data to determine the effect of mental health care services on pain, function, or military readiness. Also, it is unclear whether education alone impacted the referral rate.

The author shared the outcomes of this PI project with fellow professionals at NMCCL. As a team, we explored ways for military to link with mental health care within their commands. The process of using these instruments is easily transferable to other clinics with no extraordinary cost.

Conclusion

The economic burden of major depressive disorder in the US has risen 21.5% from 2005 to 2010.¹⁶ Unfortunately, only 35% of those with symptoms of severe depression had contact with a mental health professional in the past year.⁸ Avoiding missing opportunities to screen for mental health conditions can decrease the disease burden. The GAD-7 and PHQ-9 are relatively cost free and are deemed reliable and valid for screening for, and determining the severity of, symptoms of anxiety and depression.¹² The evidence suggests that screening for, and early recognition of, mental illness, are critical parts of evidence-based practice and provide the most cost-effective care.¹⁶

This PI project demonstrated that the standardized use of the GAD-7 and PHQ-9 during patient visits for pain did improve adherence to guidelines and resulted in a significant increase in the rate of mental health referrals from 10% to 23.1%. This information is valuable because a score of ≥ 10 on either screening instrument is considered the optimal cutoff for diagnosing and determining severity of anxiety and depression symptoms.¹² The US Department of Veterans Affairs (VA) and the US Department of Defense (DoD) have jointly developed clinical practice guidelines, which recommend that interventions, such as behavioral therapies or first-line pharmacologic treatment, be offered to patients with mild to moderate symptoms of depression.¹⁷ The VA/DoD guidelines for low back pain suggest screening for mental health disorders.² For these reasons, the standardized use of the screening instruments remains in place within the pain management clinic at NMCCL.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

During normal times, the U.K.-based charity No Panic offers itself as an easily accessible service to those with anxiety disorders and phobias. Visitors to the website who can receive immediate, remote support from trained volunteers. But this spring was anything but normal, as the reality of COVID-19’s worldwide spread became terrifyingly clear.

COVID-19 cases peaked in the United Kingdom in early April. Nationwide lockdown efforts contributed to a gradual but ultimately substantial decline in cases, yet, despite the favorable trend lines, No Panic has remained busier than ever.

Beyond the physical symptoms associated with COVID-19, the psychological outcomes are vast and, it seems, prolonged. Researchers have now formalized a definition of the long-term mental maladies associated with the pandemic, collectively deeming them “coronaphobia.”

The term is a catch-all phrase for the fear and the emotional and social strain experienced by the general public in response to COVID-19. Obsessive behaviors, distress, avoidance reaction, panic, anxiety, hoarding, paranoia, and depression are some of the responses associated with coronaphobia. On the surface, these appear to be normal, somewhat fitting reactions to this surreal and frightening moment in time. However, for those experiencing coronaphobia, they are distinctly maladaptive and harmful.

“We had a serious rise in the use of our services, notably the helpline and email enquiries,” explained Sarah Floyd, No Panic’s volunteer advisor and social media coordinator. “It has been up and down all along, but more of an up since lockdown is easing.”

The group’s experience offers yet more evidence that the anxieties and fears caused by this global pandemic don’t flatten alongside the curve but instead linger as chronic problems requiring ongoing care.

“Every week in my clinic, I’m seeing people who are experiencing more anxiety and hopelessness and having an emotional response that is perhaps out of proportion to what one would expect, which is directly related to what is going on in the world right now with coronavirus,” said Gregory Scott Brown, MD, founder and director of the Center for Green Psychiatry in West Lake Hills, Tex. “Simply put, I think what we are looking at is adjustment disorder. That is probably how the DSM would define it.”

Adjustment disorder is one of the most frequently diagnosed mental health conditions, although it is also relatively understudied. It is really a set of disorders that follow in the wake of a significant stressor, which can vary from serious illness or the death of a loved one to relocating or experiencing work problems. The resulting dysfunction and distress that the person experiences are considered out of proportion in duration or scale with what would normally be expected. Diagnosing an adjustment disorder is made difficult by the lack of a valid and reliable screening measure.

Recent literature suggests that coronaphobia may be likely to occur in those who feel vulnerable to disease, are predisposed to anxiety, or are intolerant of uncertainty. Preexisting mental health conditions can also be exacerbated by periods of quarantine, self-isolation, and lockdown, which can lead to panic attacks, chronophobia (fear of passing time), and suicidality.

Although imperfect comparisons, findings from earlier 21st century disease outbreaks, such as severe acute respiratory syndrome and the Ebola virus, signal that containment efforts themselves play a role in deteriorating mental health. A recent rapid review found that, in studies comparing persons who had previously undergone quarantines and those who had not, the former were significantly more likely to experience acute stress disorder, posttraumatic stress symptoms, and depression. Quarantine was found to result in long-term behavioral changes, such as avoiding crowds, among the general public and health care practitioners.

That tremendous psychological morbidity should accompany a global pandemic of this scale is not surprising, according to Amit Anand, MD, vice chair for research for the Center for Behavioral Health and director of the Mood and Emotional Disorders Across the Life Span program at the Cleveland Clinic.

“The technical definition of anxiety is an impending sense of doom, and I think all of us are living with that,” Dr. Anand said. “The basic question then becomes, what is normal and when does it become abnormal?”

He added that most classifications of psychiatric disorders are set during periods of relative stability, which the current moment is most certainly not.

“This is such an unusual situation, so I think it will depend on case-by-case basis, keeping the whole context in mind as whether the patient is thinking or behaving with an abnormal amount of anxiety,” Dr. Anand said.

Investigators are currently trying to give clinicians the tools to better make that determination. In the first scientific study of this clinical condition, Sherman Lee, MD, reported that five symptoms – dizziness, sleep disturbances, tonic immobility, appetite loss, and nausea/abdominal distress – were strong factors for distinguishing coronaphobia from otherwise normal concerns about COVID-19 that did not result in functional impairment. Dr. Lee and colleagues have since published further evidence that coronaphobia “is a unique predictor of psychological distress during the COVID-19 crisis.” They are working on validating a self-reported mental health screener for this condition.

Having the tools to identify patients struggling with coronaphobia may go some ways toward addressing another area of declining health. At the outset of the COVID-19 pandemic, there was a question as to whether doctors would be beset by a surge of the “worried well” – persons mistakenly believing themselves to be infected. Now months into the pandemic, the converse phenomenon – a fear of contracting COVID-19 that is driving patients away from practitioners – appears to be the more valid concern.

In early spring, the pandemic’s first surge was accompanied by reports of approximately 40% and 60% drops in visits to EDs and ambulatory centers, respectively. Stories of acute stroke patients avoiding treatment began to appear in the press. Major U.S. cities saw noteworthy declines in 911 calls, indicating a hesitancy to be taken to a hospital. That COVID-19 has been accompanied by mass unemployment and subsequent loss of insurance complicates the notion that fear alone is keeping people from treatment. In other countries, it has been explicitly linked. Investigators in Singapore noted that coronaphobia played a role in reducing willingness to attend in-person visits among adolescents with eating disorders. Similarly, case reports in Israel suggest that coronaphobia has contributed to delays in diagnoses of common pediatric diseases.

There is also a concern, colloquially termed “reentry anxiety,” that mental health problems caused by the pandemic, the accompanying lockdown, self-isolation, and quarantine practices will prove alarmingly durable. Even after this challenging moment in history draws to a close, many people may face substantial stress in returning to the normal activities of life – social, professional, familial – once taken for granted.

“We are in the beginning phase of that now,” said Dr. Anand. “Lots of people are decompensating, getting depressed, and needing treatment. I think the longer it goes on for, the more difficult it will be.”

In the United States, that day may seem far away. Nonetheless, it is important to begin laying the therapeutic groundwork now, according to Dr. Brown.

“I am recommending unconventional therapies like meet-up groups, online forums,” he said. “Everything has shifted online, and so there are a lot of support groups that patients can participate to learn coping skills and really hear what other people are going through.”

Before reaching that stage, Dr. Brown recommends that clinicians first simply discuss such anxieties with their patients in order to normalize them.

“Realize that everyone essentially is going through some degree of this right now. The coronavirus pandemic is literally impacting every person on the face of the planet. Sometimes just pointing that out to people can really help,” he said.

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

During normal times, the U.K.-based charity No Panic offers itself as an easily accessible service to those with anxiety disorders and phobias. Visitors to the website who can receive immediate, remote support from trained volunteers. But this spring was anything but normal, as the reality of COVID-19’s worldwide spread became terrifyingly clear.

COVID-19 cases peaked in the United Kingdom in early April. Nationwide lockdown efforts contributed to a gradual but ultimately substantial decline in cases, yet, despite the favorable trend lines, No Panic has remained busier than ever.

Beyond the physical symptoms associated with COVID-19, the psychological outcomes are vast and, it seems, prolonged. Researchers have now formalized a definition of the long-term mental maladies associated with the pandemic, collectively deeming them “coronaphobia.”

The term is a catch-all phrase for the fear and the emotional and social strain experienced by the general public in response to COVID-19. Obsessive behaviors, distress, avoidance reaction, panic, anxiety, hoarding, paranoia, and depression are some of the responses associated with coronaphobia. On the surface, these appear to be normal, somewhat fitting reactions to this surreal and frightening moment in time. However, for those experiencing coronaphobia, they are distinctly maladaptive and harmful.

“We had a serious rise in the use of our services, notably the helpline and email enquiries,” explained Sarah Floyd, No Panic’s volunteer advisor and social media coordinator. “It has been up and down all along, but more of an up since lockdown is easing.”

The group’s experience offers yet more evidence that the anxieties and fears caused by this global pandemic don’t flatten alongside the curve but instead linger as chronic problems requiring ongoing care.

“Every week in my clinic, I’m seeing people who are experiencing more anxiety and hopelessness and having an emotional response that is perhaps out of proportion to what one would expect, which is directly related to what is going on in the world right now with coronavirus,” said Gregory Scott Brown, MD, founder and director of the Center for Green Psychiatry in West Lake Hills, Tex. “Simply put, I think what we are looking at is adjustment disorder. That is probably how the DSM would define it.”

Adjustment disorder is one of the most frequently diagnosed mental health conditions, although it is also relatively understudied. It is really a set of disorders that follow in the wake of a significant stressor, which can vary from serious illness or the death of a loved one to relocating or experiencing work problems. The resulting dysfunction and distress that the person experiences are considered out of proportion in duration or scale with what would normally be expected. Diagnosing an adjustment disorder is made difficult by the lack of a valid and reliable screening measure.

Recent literature suggests that coronaphobia may be likely to occur in those who feel vulnerable to disease, are predisposed to anxiety, or are intolerant of uncertainty. Preexisting mental health conditions can also be exacerbated by periods of quarantine, self-isolation, and lockdown, which can lead to panic attacks, chronophobia (fear of passing time), and suicidality.

Although imperfect comparisons, findings from earlier 21st century disease outbreaks, such as severe acute respiratory syndrome and the Ebola virus, signal that containment efforts themselves play a role in deteriorating mental health. A recent rapid review found that, in studies comparing persons who had previously undergone quarantines and those who had not, the former were significantly more likely to experience acute stress disorder, posttraumatic stress symptoms, and depression. Quarantine was found to result in long-term behavioral changes, such as avoiding crowds, among the general public and health care practitioners.

That tremendous psychological morbidity should accompany a global pandemic of this scale is not surprising, according to Amit Anand, MD, vice chair for research for the Center for Behavioral Health and director of the Mood and Emotional Disorders Across the Life Span program at the Cleveland Clinic.

“The technical definition of anxiety is an impending sense of doom, and I think all of us are living with that,” Dr. Anand said. “The basic question then becomes, what is normal and when does it become abnormal?”

He added that most classifications of psychiatric disorders are set during periods of relative stability, which the current moment is most certainly not.

“This is such an unusual situation, so I think it will depend on case-by-case basis, keeping the whole context in mind as whether the patient is thinking or behaving with an abnormal amount of anxiety,” Dr. Anand said.

Investigators are currently trying to give clinicians the tools to better make that determination. In the first scientific study of this clinical condition, Sherman Lee, MD, reported that five symptoms – dizziness, sleep disturbances, tonic immobility, appetite loss, and nausea/abdominal distress – were strong factors for distinguishing coronaphobia from otherwise normal concerns about COVID-19 that did not result in functional impairment. Dr. Lee and colleagues have since published further evidence that coronaphobia “is a unique predictor of psychological distress during the COVID-19 crisis.” They are working on validating a self-reported mental health screener for this condition.

Having the tools to identify patients struggling with coronaphobia may go some ways toward addressing another area of declining health. At the outset of the COVID-19 pandemic, there was a question as to whether doctors would be beset by a surge of the “worried well” – persons mistakenly believing themselves to be infected. Now months into the pandemic, the converse phenomenon – a fear of contracting COVID-19 that is driving patients away from practitioners – appears to be the more valid concern.

In early spring, the pandemic’s first surge was accompanied by reports of approximately 40% and 60% drops in visits to EDs and ambulatory centers, respectively. Stories of acute stroke patients avoiding treatment began to appear in the press. Major U.S. cities saw noteworthy declines in 911 calls, indicating a hesitancy to be taken to a hospital. That COVID-19 has been accompanied by mass unemployment and subsequent loss of insurance complicates the notion that fear alone is keeping people from treatment. In other countries, it has been explicitly linked. Investigators in Singapore noted that coronaphobia played a role in reducing willingness to attend in-person visits among adolescents with eating disorders. Similarly, case reports in Israel suggest that coronaphobia has contributed to delays in diagnoses of common pediatric diseases.

There is also a concern, colloquially termed “reentry anxiety,” that mental health problems caused by the pandemic, the accompanying lockdown, self-isolation, and quarantine practices will prove alarmingly durable. Even after this challenging moment in history draws to a close, many people may face substantial stress in returning to the normal activities of life – social, professional, familial – once taken for granted.

“We are in the beginning phase of that now,” said Dr. Anand. “Lots of people are decompensating, getting depressed, and needing treatment. I think the longer it goes on for, the more difficult it will be.”

In the United States, that day may seem far away. Nonetheless, it is important to begin laying the therapeutic groundwork now, according to Dr. Brown.

“I am recommending unconventional therapies like meet-up groups, online forums,” he said. “Everything has shifted online, and so there are a lot of support groups that patients can participate to learn coping skills and really hear what other people are going through.”

Before reaching that stage, Dr. Brown recommends that clinicians first simply discuss such anxieties with their patients in order to normalize them.

“Realize that everyone essentially is going through some degree of this right now. The coronavirus pandemic is literally impacting every person on the face of the planet. Sometimes just pointing that out to people can really help,” he said.

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

During normal times, the U.K.-based charity No Panic offers itself as an easily accessible service to those with anxiety disorders and phobias. Visitors to the website who can receive immediate, remote support from trained volunteers. But this spring was anything but normal, as the reality of COVID-19’s worldwide spread became terrifyingly clear.

COVID-19 cases peaked in the United Kingdom in early April. Nationwide lockdown efforts contributed to a gradual but ultimately substantial decline in cases, yet, despite the favorable trend lines, No Panic has remained busier than ever.

Beyond the physical symptoms associated with COVID-19, the psychological outcomes are vast and, it seems, prolonged. Researchers have now formalized a definition of the long-term mental maladies associated with the pandemic, collectively deeming them “coronaphobia.”

The term is a catch-all phrase for the fear and the emotional and social strain experienced by the general public in response to COVID-19. Obsessive behaviors, distress, avoidance reaction, panic, anxiety, hoarding, paranoia, and depression are some of the responses associated with coronaphobia. On the surface, these appear to be normal, somewhat fitting reactions to this surreal and frightening moment in time. However, for those experiencing coronaphobia, they are distinctly maladaptive and harmful.

“We had a serious rise in the use of our services, notably the helpline and email enquiries,” explained Sarah Floyd, No Panic’s volunteer advisor and social media coordinator. “It has been up and down all along, but more of an up since lockdown is easing.”

The group’s experience offers yet more evidence that the anxieties and fears caused by this global pandemic don’t flatten alongside the curve but instead linger as chronic problems requiring ongoing care.

“Every week in my clinic, I’m seeing people who are experiencing more anxiety and hopelessness and having an emotional response that is perhaps out of proportion to what one would expect, which is directly related to what is going on in the world right now with coronavirus,” said Gregory Scott Brown, MD, founder and director of the Center for Green Psychiatry in West Lake Hills, Tex. “Simply put, I think what we are looking at is adjustment disorder. That is probably how the DSM would define it.”

Adjustment disorder is one of the most frequently diagnosed mental health conditions, although it is also relatively understudied. It is really a set of disorders that follow in the wake of a significant stressor, which can vary from serious illness or the death of a loved one to relocating or experiencing work problems. The resulting dysfunction and distress that the person experiences are considered out of proportion in duration or scale with what would normally be expected. Diagnosing an adjustment disorder is made difficult by the lack of a valid and reliable screening measure.

Recent literature suggests that coronaphobia may be likely to occur in those who feel vulnerable to disease, are predisposed to anxiety, or are intolerant of uncertainty. Preexisting mental health conditions can also be exacerbated by periods of quarantine, self-isolation, and lockdown, which can lead to panic attacks, chronophobia (fear of passing time), and suicidality.

Although imperfect comparisons, findings from earlier 21st century disease outbreaks, such as severe acute respiratory syndrome and the Ebola virus, signal that containment efforts themselves play a role in deteriorating mental health. A recent rapid review found that, in studies comparing persons who had previously undergone quarantines and those who had not, the former were significantly more likely to experience acute stress disorder, posttraumatic stress symptoms, and depression. Quarantine was found to result in long-term behavioral changes, such as avoiding crowds, among the general public and health care practitioners.

That tremendous psychological morbidity should accompany a global pandemic of this scale is not surprising, according to Amit Anand, MD, vice chair for research for the Center for Behavioral Health and director of the Mood and Emotional Disorders Across the Life Span program at the Cleveland Clinic.

“The technical definition of anxiety is an impending sense of doom, and I think all of us are living with that,” Dr. Anand said. “The basic question then becomes, what is normal and when does it become abnormal?”

He added that most classifications of psychiatric disorders are set during periods of relative stability, which the current moment is most certainly not.

“This is such an unusual situation, so I think it will depend on case-by-case basis, keeping the whole context in mind as whether the patient is thinking or behaving with an abnormal amount of anxiety,” Dr. Anand said.

Investigators are currently trying to give clinicians the tools to better make that determination. In the first scientific study of this clinical condition, Sherman Lee, MD, reported that five symptoms – dizziness, sleep disturbances, tonic immobility, appetite loss, and nausea/abdominal distress – were strong factors for distinguishing coronaphobia from otherwise normal concerns about COVID-19 that did not result in functional impairment. Dr. Lee and colleagues have since published further evidence that coronaphobia “is a unique predictor of psychological distress during the COVID-19 crisis.” They are working on validating a self-reported mental health screener for this condition.

Having the tools to identify patients struggling with coronaphobia may go some ways toward addressing another area of declining health. At the outset of the COVID-19 pandemic, there was a question as to whether doctors would be beset by a surge of the “worried well” – persons mistakenly believing themselves to be infected. Now months into the pandemic, the converse phenomenon – a fear of contracting COVID-19 that is driving patients away from practitioners – appears to be the more valid concern.

In early spring, the pandemic’s first surge was accompanied by reports of approximately 40% and 60% drops in visits to EDs and ambulatory centers, respectively. Stories of acute stroke patients avoiding treatment began to appear in the press. Major U.S. cities saw noteworthy declines in 911 calls, indicating a hesitancy to be taken to a hospital. That COVID-19 has been accompanied by mass unemployment and subsequent loss of insurance complicates the notion that fear alone is keeping people from treatment. In other countries, it has been explicitly linked. Investigators in Singapore noted that coronaphobia played a role in reducing willingness to attend in-person visits among adolescents with eating disorders. Similarly, case reports in Israel suggest that coronaphobia has contributed to delays in diagnoses of common pediatric diseases.

There is also a concern, colloquially termed “reentry anxiety,” that mental health problems caused by the pandemic, the accompanying lockdown, self-isolation, and quarantine practices will prove alarmingly durable. Even after this challenging moment in history draws to a close, many people may face substantial stress in returning to the normal activities of life – social, professional, familial – once taken for granted.

“We are in the beginning phase of that now,” said Dr. Anand. “Lots of people are decompensating, getting depressed, and needing treatment. I think the longer it goes on for, the more difficult it will be.”

In the United States, that day may seem far away. Nonetheless, it is important to begin laying the therapeutic groundwork now, according to Dr. Brown.

“I am recommending unconventional therapies like meet-up groups, online forums,” he said. “Everything has shifted online, and so there are a lot of support groups that patients can participate to learn coping skills and really hear what other people are going through.”

Before reaching that stage, Dr. Brown recommends that clinicians first simply discuss such anxieties with their patients in order to normalize them.

“Realize that everyone essentially is going through some degree of this right now. The coronavirus pandemic is literally impacting every person on the face of the planet. Sometimes just pointing that out to people can really help,” he said.

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

The gap in suicide rates between rural and urban areas has widened since 2000 for both males and females, according to a recent report from the National Center for Health Statistics.

After remaining stable from 2000 to 2007, the suicide rate for rural males rose 34% from 2007 to 2018, versus 17% among urban males over the same period. Suicide rates for females were significantly lower than those of men, but the changes were larger. For rural females, the rate increased 91% from 2000 to 2018, compared with 51% for urban females, Kristen Pettrone, MD, MPH, and Sally C. Curtin, MA, said in an NCHS Data Brief.

For 2018, the last year with available data, the age-adjusted rates look like this: 21.5 per 100,000 population for urban males, 30.7 for rural males, 5.9 per 100,000 for urban females, and 8.0 for rural females. The overall rate for the United States was 14.2 per 100,000, with combined male/female rates of 13.4 in urban areas and 19.4 in rural areas, the researchers said.

Methods of suicide also varied by sex and urban-rural status. Firearms were the leading method for males in both rural and urban areas, but females split between firearms in rural areas and suffocation (including hangings) in urban areas, said Dr. Pettrone of the Centers for Disease Control and Prevention and Ms. Curtin of the NCHS.

Suffocation, however, was the fastest-growing method from 2000 to 2018, regardless of sex or location. Suffocation-related suicide rates more than quadrupled for rural females, and more than doubled for urban females and rural males, while rates rose 85% among males in urban areas, based on data from the National Vital Statistics System.

“Suicide has remained the 10th leading cause of death in the United States since 2008,” they wrote, and “sex and urban-rural disparities in methods of suicide may inform targeted suicide prevention strategies.”

rfranki@mdedge.com

SOURCE: Pettrone K, Curtin SC. 2020 Aug. NCHS Data Brief, No 373.

The gap in suicide rates between rural and urban areas has widened since 2000 for both males and females, according to a recent report from the National Center for Health Statistics.

After remaining stable from 2000 to 2007, the suicide rate for rural males rose 34% from 2007 to 2018, versus 17% among urban males over the same period. Suicide rates for females were significantly lower than those of men, but the changes were larger. For rural females, the rate increased 91% from 2000 to 2018, compared with 51% for urban females, Kristen Pettrone, MD, MPH, and Sally C. Curtin, MA, said in an NCHS Data Brief.

For 2018, the last year with available data, the age-adjusted rates look like this: 21.5 per 100,000 population for urban males, 30.7 for rural males, 5.9 per 100,000 for urban females, and 8.0 for rural females. The overall rate for the United States was 14.2 per 100,000, with combined male/female rates of 13.4 in urban areas and 19.4 in rural areas, the researchers said.

Methods of suicide also varied by sex and urban-rural status. Firearms were the leading method for males in both rural and urban areas, but females split between firearms in rural areas and suffocation (including hangings) in urban areas, said Dr. Pettrone of the Centers for Disease Control and Prevention and Ms. Curtin of the NCHS.

Suffocation, however, was the fastest-growing method from 2000 to 2018, regardless of sex or location. Suffocation-related suicide rates more than quadrupled for rural females, and more than doubled for urban females and rural males, while rates rose 85% among males in urban areas, based on data from the National Vital Statistics System.

“Suicide has remained the 10th leading cause of death in the United States since 2008,” they wrote, and “sex and urban-rural disparities in methods of suicide may inform targeted suicide prevention strategies.”

rfranki@mdedge.com

SOURCE: Pettrone K, Curtin SC. 2020 Aug. NCHS Data Brief, No 373.

The gap in suicide rates between rural and urban areas has widened since 2000 for both males and females, according to a recent report from the National Center for Health Statistics.

After remaining stable from 2000 to 2007, the suicide rate for rural males rose 34% from 2007 to 2018, versus 17% among urban males over the same period. Suicide rates for females were significantly lower than those of men, but the changes were larger. For rural females, the rate increased 91% from 2000 to 2018, compared with 51% for urban females, Kristen Pettrone, MD, MPH, and Sally C. Curtin, MA, said in an NCHS Data Brief.

For 2018, the last year with available data, the age-adjusted rates look like this: 21.5 per 100,000 population for urban males, 30.7 for rural males, 5.9 per 100,000 for urban females, and 8.0 for rural females. The overall rate for the United States was 14.2 per 100,000, with combined male/female rates of 13.4 in urban areas and 19.4 in rural areas, the researchers said.

Methods of suicide also varied by sex and urban-rural status. Firearms were the leading method for males in both rural and urban areas, but females split between firearms in rural areas and suffocation (including hangings) in urban areas, said Dr. Pettrone of the Centers for Disease Control and Prevention and Ms. Curtin of the NCHS.

Suffocation, however, was the fastest-growing method from 2000 to 2018, regardless of sex or location. Suffocation-related suicide rates more than quadrupled for rural females, and more than doubled for urban females and rural males, while rates rose 85% among males in urban areas, based on data from the National Vital Statistics System.

“Suicide has remained the 10th leading cause of death in the United States since 2008,” they wrote, and “sex and urban-rural disparities in methods of suicide may inform targeted suicide prevention strategies.”

rfranki@mdedge.com

SOURCE: Pettrone K, Curtin SC. 2020 Aug. NCHS Data Brief, No 373.

Objective neuropsychological tests can be used to subclassify the cognitive symptoms present in patients with major depression into three patterns having implications for treatment responsiveness, Gitte Moos Knudsen, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

“Our data highlight the importance of assessing and targeting cognitive symptoms,” said Dr. Knudsen, the ECNP president and professor of neurology at the University of Copenhagen.

She was a coauthor of the Danish NeuroPharm study, in which 92 antidepressant-free patients with moderate or severe major depressive disorder and 103 healthy controls completed a comprehensive neuropsychological test battery. The testing included a validation study of the EMOTICOM test battery, a novel neuropsychological test battery developed specifically to assess what has been called “hot” cognition, such as emotion processing, social cognition, and affective verbal memory.

Overall, the depressed patients collectively showed moderate increases in measures of guilt and shame, moderate deficits in working and verbal memory, moderately slowed reaction time, and mild to moderate negative affective bias, compared with controls. No correlation was found between performance on any of the individual cognitive domains and depression severity as measured using the Hamilton Depression Rating Scale, underscoring the concept that cognitive impairment is a distinct component of depressive pathology rather than an extension of the classic mood and somatic symptoms of major depression.

Cluster analysis revealed three distinct patterns of cognitive impairment in the study population. Unlike the individual cognitive domains, these cognitive clusters did correlate with depression severity. The implication is that neuropsychological testing may identify large subgroups of patients with major depression who may benefit from augmentation of antidepressant medication with treatments targeting impaired cognition, as they become available.

Investigators classified 38 of the 92 patients with major depressive disorder as falling within Cluster A. That is, they exhibited marked deficits in hot cognition expressed in a greatly impaired ability to accurately identify facial emotions on photographs, with resultant high scores for emotion recognition bias and emotion misattribution bias. This impairment in hot cognition was accompanied by minimal guilt and shame and little or no deficits in the cold cognitive domains of verbal and working memory.

Cluster B, composed of 28 patients, was characterized by generally good cognitive function, with positive biases in emotion processing, near-normal guilt and shame ratings, but moderate deficits across the cold cognition domains, making for a mirror image of Cluster A.

The 26 patients in Cluster C demonstrated large deficits in both the hot and cold cognition domains, with particularly pronounced guilt and shame scores.

The three clusters didn’t differ in terms of age or sex. However, patients in Cluster C had significantly more severe core depressive symptoms as measured by Hamilton scores than in Clusters A and B.

This analysis from the NeuroPharm study was cross-sectional. Dr. Knudsen cited a recent large Chinese longitudinal study to underscore how the prevalence of patient-reported cognitive deficits in major depressive disorder is high. And while those deficits decrease over time, they nonetheless remain substantial after 6 months on antidepressant therapy.

That study included 598 Chinese outpatients with major depressive disorder. At baseline, 77% had cognitive symptoms as evidenced by a total score of 21 or more on the self-rated Perceived Deficits Questionnaire–Depression (PDQ-D). One month after going on antidepressant monotherapy, the prevalence of cognitive symptoms had dropped to 59%. At 2 months, the rate was 45%. And at month 6, a PDQ-D score of 21 or greater was still present in 32.4% of patients. High baseline PDQ-D scores were associated with worse clinical outcomes, including a lower treatment response rate at 1 month and a lower remission rate at 2 months. Moreover, high PDQ-D scores at 2 months were associated with lower remission and higher relapse rates at 6 months.

Dr. Knudsen reported having no financial conflicts regarding the NeuroPharm study, which was conducted free of commercial support. She serves as an adviser to Sage Therapeutics and Sanos.

bjancin@mdedge.com

Objective neuropsychological tests can be used to subclassify the cognitive symptoms present in patients with major depression into three patterns having implications for treatment responsiveness, Gitte Moos Knudsen, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

“Our data highlight the importance of assessing and targeting cognitive symptoms,” said Dr. Knudsen, the ECNP president and professor of neurology at the University of Copenhagen.

She was a coauthor of the Danish NeuroPharm study, in which 92 antidepressant-free patients with moderate or severe major depressive disorder and 103 healthy controls completed a comprehensive neuropsychological test battery. The testing included a validation study of the EMOTICOM test battery, a novel neuropsychological test battery developed specifically to assess what has been called “hot” cognition, such as emotion processing, social cognition, and affective verbal memory.

Overall, the depressed patients collectively showed moderate increases in measures of guilt and shame, moderate deficits in working and verbal memory, moderately slowed reaction time, and mild to moderate negative affective bias, compared with controls. No correlation was found between performance on any of the individual cognitive domains and depression severity as measured using the Hamilton Depression Rating Scale, underscoring the concept that cognitive impairment is a distinct component of depressive pathology rather than an extension of the classic mood and somatic symptoms of major depression.

Cluster analysis revealed three distinct patterns of cognitive impairment in the study population. Unlike the individual cognitive domains, these cognitive clusters did correlate with depression severity. The implication is that neuropsychological testing may identify large subgroups of patients with major depression who may benefit from augmentation of antidepressant medication with treatments targeting impaired cognition, as they become available.

Investigators classified 38 of the 92 patients with major depressive disorder as falling within Cluster A. That is, they exhibited marked deficits in hot cognition expressed in a greatly impaired ability to accurately identify facial emotions on photographs, with resultant high scores for emotion recognition bias and emotion misattribution bias. This impairment in hot cognition was accompanied by minimal guilt and shame and little or no deficits in the cold cognitive domains of verbal and working memory.

Cluster B, composed of 28 patients, was characterized by generally good cognitive function, with positive biases in emotion processing, near-normal guilt and shame ratings, but moderate deficits across the cold cognition domains, making for a mirror image of Cluster A.

The 26 patients in Cluster C demonstrated large deficits in both the hot and cold cognition domains, with particularly pronounced guilt and shame scores.

The three clusters didn’t differ in terms of age or sex. However, patients in Cluster C had significantly more severe core depressive symptoms as measured by Hamilton scores than in Clusters A and B.

This analysis from the NeuroPharm study was cross-sectional. Dr. Knudsen cited a recent large Chinese longitudinal study to underscore how the prevalence of patient-reported cognitive deficits in major depressive disorder is high. And while those deficits decrease over time, they nonetheless remain substantial after 6 months on antidepressant therapy.

That study included 598 Chinese outpatients with major depressive disorder. At baseline, 77% had cognitive symptoms as evidenced by a total score of 21 or more on the self-rated Perceived Deficits Questionnaire–Depression (PDQ-D). One month after going on antidepressant monotherapy, the prevalence of cognitive symptoms had dropped to 59%. At 2 months, the rate was 45%. And at month 6, a PDQ-D score of 21 or greater was still present in 32.4% of patients. High baseline PDQ-D scores were associated with worse clinical outcomes, including a lower treatment response rate at 1 month and a lower remission rate at 2 months. Moreover, high PDQ-D scores at 2 months were associated with lower remission and higher relapse rates at 6 months.

Dr. Knudsen reported having no financial conflicts regarding the NeuroPharm study, which was conducted free of commercial support. She serves as an adviser to Sage Therapeutics and Sanos.

bjancin@mdedge.com

Objective neuropsychological tests can be used to subclassify the cognitive symptoms present in patients with major depression into three patterns having implications for treatment responsiveness, Gitte Moos Knudsen, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

“Our data highlight the importance of assessing and targeting cognitive symptoms,” said Dr. Knudsen, the ECNP president and professor of neurology at the University of Copenhagen.

She was a coauthor of the Danish NeuroPharm study, in which 92 antidepressant-free patients with moderate or severe major depressive disorder and 103 healthy controls completed a comprehensive neuropsychological test battery. The testing included a validation study of the EMOTICOM test battery, a novel neuropsychological test battery developed specifically to assess what has been called “hot” cognition, such as emotion processing, social cognition, and affective verbal memory.

Overall, the depressed patients collectively showed moderate increases in measures of guilt and shame, moderate deficits in working and verbal memory, moderately slowed reaction time, and mild to moderate negative affective bias, compared with controls. No correlation was found between performance on any of the individual cognitive domains and depression severity as measured using the Hamilton Depression Rating Scale, underscoring the concept that cognitive impairment is a distinct component of depressive pathology rather than an extension of the classic mood and somatic symptoms of major depression.

Cluster analysis revealed three distinct patterns of cognitive impairment in the study population. Unlike the individual cognitive domains, these cognitive clusters did correlate with depression severity. The implication is that neuropsychological testing may identify large subgroups of patients with major depression who may benefit from augmentation of antidepressant medication with treatments targeting impaired cognition, as they become available.

Investigators classified 38 of the 92 patients with major depressive disorder as falling within Cluster A. That is, they exhibited marked deficits in hot cognition expressed in a greatly impaired ability to accurately identify facial emotions on photographs, with resultant high scores for emotion recognition bias and emotion misattribution bias. This impairment in hot cognition was accompanied by minimal guilt and shame and little or no deficits in the cold cognitive domains of verbal and working memory.

Cluster B, composed of 28 patients, was characterized by generally good cognitive function, with positive biases in emotion processing, near-normal guilt and shame ratings, but moderate deficits across the cold cognition domains, making for a mirror image of Cluster A.

The 26 patients in Cluster C demonstrated large deficits in both the hot and cold cognition domains, with particularly pronounced guilt and shame scores.

The three clusters didn’t differ in terms of age or sex. However, patients in Cluster C had significantly more severe core depressive symptoms as measured by Hamilton scores than in Clusters A and B.

This analysis from the NeuroPharm study was cross-sectional. Dr. Knudsen cited a recent large Chinese longitudinal study to underscore how the prevalence of patient-reported cognitive deficits in major depressive disorder is high. And while those deficits decrease over time, they nonetheless remain substantial after 6 months on antidepressant therapy.

That study included 598 Chinese outpatients with major depressive disorder. At baseline, 77% had cognitive symptoms as evidenced by a total score of 21 or more on the self-rated Perceived Deficits Questionnaire–Depression (PDQ-D). One month after going on antidepressant monotherapy, the prevalence of cognitive symptoms had dropped to 59%. At 2 months, the rate was 45%. And at month 6, a PDQ-D score of 21 or greater was still present in 32.4% of patients. High baseline PDQ-D scores were associated with worse clinical outcomes, including a lower treatment response rate at 1 month and a lower remission rate at 2 months. Moreover, high PDQ-D scores at 2 months were associated with lower remission and higher relapse rates at 6 months.

Dr. Knudsen reported having no financial conflicts regarding the NeuroPharm study, which was conducted free of commercial support. She serves as an adviser to Sage Therapeutics and Sanos.

bjancin@mdedge.com

The disinhibited binge eating style often seen in individuals with high ADHD symptoms is attributable to a heightened neural reward response to food rather than to the impulsivity that’s a core feature of ADHD, Elizabeth Martin, MSc, reported at the virtual congress of the European College of Neuropsychopharmacology.

She presented a functional MRI brain-imaging study designed to help pin down the mechanism involved in the disordered eating patterns that often accompany ADHD.

“Determining the underlying mechanism between binge eating and ADHD may be helpful in developing novel therapies for both ADHD and binge eating disorder. Our research suggests that further investigation of the role of altered reward processing in ADHD may be an avenue for this,” said Ms. Martin, a doctoral researcher in the department of psychology at the University of Birmingham (England).

She and her coinvestigators recruited 31 university student volunteers with high ADHD symptoms as evidenced by their mean score of 29.3 on the 0-54 Conners’ Adult ADHD Rating Scale, and 27 others with low ADHD symptoms and a mean Conners’ score of 6.8. The two groups didn’t differ in age or BMI. However, not surprisingly, the high-ADHD group exhibited greater impulsivity, with a mean score of 72 on the Barratt Impulsiveness Scale, versus 56.5 in the low ADHD group.

A battery of eating disorder scales was applied to assess participants in terms of binge/disinhibited or restrictive eating patterns. The high- and low–ADHD symptom groups didn’t differ in terms of prevalence of a restrictive eating style, which was low, but the high-ADHD participants scored on average roughly 50% higher on the binge/disinhibited eating style measure, compared with the low-ADHD group.

Each study participant underwent a 1-hour BOLD (blood oxygen level dependent) functional MRI scan while performing two sets of tasks. One task entailed quickly looking at 120 photos of food items and an equal number of nonfood items and rating how appealing the pictures were. The other challenge was what psychologists call a go/no-go task, a computerized cognitive test used to assess inhibitory control based upon reaction times and error rates.

On the go/no-go task, there were no between-group differences in rates of errors of omission or commission or reaction time. Moreover, the MRI results indicated there were no between-group differences in neural circuitry activation during this task. The investigators therefore concluded that the tendency toward binge eating in the high–ADHD symptoms group was not tied to greater impulsivity as reflected in less effective inhibitory processes.

The food picture rating task told a different story. The MRIs demonstrated increased responses to food versus nonfood images in the high-ADHD subjects, compared with the low-ADHD subjects in reward-related brain areas, including the ventromedial prefrontal cortex, caudate nucleus, and ventral tegmental area.

“This is the first evidence that ADHD symptoms in young adults are associated with enhanced neural activation in key reward-related brain areas in response to viewing food pictures,” according to Ms. Martin. “This suggests that enhanced responsiveness to food cues may be a mediating mechanism underlying overeating in ADHD.”

Of note, only one drug – lisdexamfetamine dimesylate (Vyvanse) is Food and Drug Administration-approved for the treatment of both ADHD and binge-eating disorder.

“Until now it’s been unclear how lisdexamfetamine dimesylate reduces binge eating, but our results suggest that one mechanism worthy of further investigation is the potential effect of the drug on food reward processes,” Ms. Martin said.

She reported having no financial conflicts regarding the study, which was supported by university funding.

bjancin@mdedge.com

SOURCE: Martin E. ECNP 2020. Abstr. P.041.

The disinhibited binge eating style often seen in individuals with high ADHD symptoms is attributable to a heightened neural reward response to food rather than to the impulsivity that’s a core feature of ADHD, Elizabeth Martin, MSc, reported at the virtual congress of the European College of Neuropsychopharmacology.

She presented a functional MRI brain-imaging study designed to help pin down the mechanism involved in the disordered eating patterns that often accompany ADHD.

“Determining the underlying mechanism between binge eating and ADHD may be helpful in developing novel therapies for both ADHD and binge eating disorder. Our research suggests that further investigation of the role of altered reward processing in ADHD may be an avenue for this,” said Ms. Martin, a doctoral researcher in the department of psychology at the University of Birmingham (England).

She and her coinvestigators recruited 31 university student volunteers with high ADHD symptoms as evidenced by their mean score of 29.3 on the 0-54 Conners’ Adult ADHD Rating Scale, and 27 others with low ADHD symptoms and a mean Conners’ score of 6.8. The two groups didn’t differ in age or BMI. However, not surprisingly, the high-ADHD group exhibited greater impulsivity, with a mean score of 72 on the Barratt Impulsiveness Scale, versus 56.5 in the low ADHD group.

A battery of eating disorder scales was applied to assess participants in terms of binge/disinhibited or restrictive eating patterns. The high- and low–ADHD symptom groups didn’t differ in terms of prevalence of a restrictive eating style, which was low, but the high-ADHD participants scored on average roughly 50% higher on the binge/disinhibited eating style measure, compared with the low-ADHD group.

Each study participant underwent a 1-hour BOLD (blood oxygen level dependent) functional MRI scan while performing two sets of tasks. One task entailed quickly looking at 120 photos of food items and an equal number of nonfood items and rating how appealing the pictures were. The other challenge was what psychologists call a go/no-go task, a computerized cognitive test used to assess inhibitory control based upon reaction times and error rates.

On the go/no-go task, there were no between-group differences in rates of errors of omission or commission or reaction time. Moreover, the MRI results indicated there were no between-group differences in neural circuitry activation during this task. The investigators therefore concluded that the tendency toward binge eating in the high–ADHD symptoms group was not tied to greater impulsivity as reflected in less effective inhibitory processes.

The food picture rating task told a different story. The MRIs demonstrated increased responses to food versus nonfood images in the high-ADHD subjects, compared with the low-ADHD subjects in reward-related brain areas, including the ventromedial prefrontal cortex, caudate nucleus, and ventral tegmental area.

“This is the first evidence that ADHD symptoms in young adults are associated with enhanced neural activation in key reward-related brain areas in response to viewing food pictures,” according to Ms. Martin. “This suggests that enhanced responsiveness to food cues may be a mediating mechanism underlying overeating in ADHD.”

Of note, only one drug – lisdexamfetamine dimesylate (Vyvanse) is Food and Drug Administration-approved for the treatment of both ADHD and binge-eating disorder.

“Until now it’s been unclear how lisdexamfetamine dimesylate reduces binge eating, but our results suggest that one mechanism worthy of further investigation is the potential effect of the drug on food reward processes,” Ms. Martin said.

She reported having no financial conflicts regarding the study, which was supported by university funding.

bjancin@mdedge.com

SOURCE: Martin E. ECNP 2020. Abstr. P.041.

The disinhibited binge eating style often seen in individuals with high ADHD symptoms is attributable to a heightened neural reward response to food rather than to the impulsivity that’s a core feature of ADHD, Elizabeth Martin, MSc, reported at the virtual congress of the European College of Neuropsychopharmacology.

She presented a functional MRI brain-imaging study designed to help pin down the mechanism involved in the disordered eating patterns that often accompany ADHD.

“Determining the underlying mechanism between binge eating and ADHD may be helpful in developing novel therapies for both ADHD and binge eating disorder. Our research suggests that further investigation of the role of altered reward processing in ADHD may be an avenue for this,” said Ms. Martin, a doctoral researcher in the department of psychology at the University of Birmingham (England).

She and her coinvestigators recruited 31 university student volunteers with high ADHD symptoms as evidenced by their mean score of 29.3 on the 0-54 Conners’ Adult ADHD Rating Scale, and 27 others with low ADHD symptoms and a mean Conners’ score of 6.8. The two groups didn’t differ in age or BMI. However, not surprisingly, the high-ADHD group exhibited greater impulsivity, with a mean score of 72 on the Barratt Impulsiveness Scale, versus 56.5 in the low ADHD group.

A battery of eating disorder scales was applied to assess participants in terms of binge/disinhibited or restrictive eating patterns. The high- and low–ADHD symptom groups didn’t differ in terms of prevalence of a restrictive eating style, which was low, but the high-ADHD participants scored on average roughly 50% higher on the binge/disinhibited eating style measure, compared with the low-ADHD group.

Each study participant underwent a 1-hour BOLD (blood oxygen level dependent) functional MRI scan while performing two sets of tasks. One task entailed quickly looking at 120 photos of food items and an equal number of nonfood items and rating how appealing the pictures were. The other challenge was what psychologists call a go/no-go task, a computerized cognitive test used to assess inhibitory control based upon reaction times and error rates.

On the go/no-go task, there were no between-group differences in rates of errors of omission or commission or reaction time. Moreover, the MRI results indicated there were no between-group differences in neural circuitry activation during this task. The investigators therefore concluded that the tendency toward binge eating in the high–ADHD symptoms group was not tied to greater impulsivity as reflected in less effective inhibitory processes.

The food picture rating task told a different story. The MRIs demonstrated increased responses to food versus nonfood images in the high-ADHD subjects, compared with the low-ADHD subjects in reward-related brain areas, including the ventromedial prefrontal cortex, caudate nucleus, and ventral tegmental area.

“This is the first evidence that ADHD symptoms in young adults are associated with enhanced neural activation in key reward-related brain areas in response to viewing food pictures,” according to Ms. Martin. “This suggests that enhanced responsiveness to food cues may be a mediating mechanism underlying overeating in ADHD.”

Of note, only one drug – lisdexamfetamine dimesylate (Vyvanse) is Food and Drug Administration-approved for the treatment of both ADHD and binge-eating disorder.

“Until now it’s been unclear how lisdexamfetamine dimesylate reduces binge eating, but our results suggest that one mechanism worthy of further investigation is the potential effect of the drug on food reward processes,” Ms. Martin said.

She reported having no financial conflicts regarding the study, which was supported by university funding.

bjancin@mdedge.com

SOURCE: Martin E. ECNP 2020. Abstr. P.041.

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

Let me tell you about Tim Ferriss. A few years ago, I started reading his best-selling book, The 4-Hour Body. Ferris detailed how he made himself into a one-man experiment – he’d make changes to his diet, checked his weight and his labs, maybe he even had metabolic studies done.

Courtesy Taylor Prinsen

He’d take these measures after soaking in hot baths, then ice baths, and while I admired his discipline, he did lose me during the chapter where he was using steroids. In the end, he advised a dairy-free, low-carbohydrate diet of green vegetables, beans or lentils, and protein for four meals a day, 6 days a week, with free-for-all eating on the 7th day. Then, there was a weight-lifting routine with kettle bells and ice packs to be placed on your shoulders for a set amount of time each day.

I may not remember the program’s details, but something about Ferris fascinated me. He brands himself as being a “human guinea pig,” about “lifestyle design,” and whatever that is, I like it. Perhaps I am attracted to the idea that we might control the trajectories of our generally uncontrollable lives.

Tim Ferriss graduated from Princeton, he’s written five best-selling books and has a popular podcast, he’s been a TED speaker, and he’s been on Fortune’s “40 under 40” list – and there’s so much more. Ferriss is brilliant, innovative, handsome, charismatic, prolific, extraordinarily athletic. I may have forgotten to mention that he was the National Chinese Kickboxing Champion and was a semifinalist in the World Champion Tango competition in Buenos Aires. He’s adventuresome and fearless, and if that isn’t enough, he speaks five languages. In the genetic dice roll, Mr. Ferriss did well, and he’s a driven and energetic hard worker who is open to new experiences.

I subscribe to the Tim Ferriss podcast – as of this writing, there are 466 episodes, with an incredible lineup of interviews with famous and successful guests. I also subscribe to his “5-Bullet Friday” email list where he mentions the interesting things he is reading, watching, learning about, or eating, and the products he is trying – single-ply toilet paper gets a thumbs down – then ends with a thought-provoking quote. This gentleman spends a tremendous amount of time searching and striving, working on himself and his own emotional growth and self-improvement, and yet he still has time for incredible explorations and experiences.

A search for psychic peace

Honestly, were it not for a few little details, I would like to be Tim Ferriss. Who wouldn’t? But what stops me from actually wanting to be Ferriss is that early on while listening to him, I realized that his drive has been fueled by intense psychic pain. He talks openly about being very close to suicide in college, about a tormenting mood disorder, demons to tame, and productivity as an antidote to a fear of failure, not always as a joy for life. There are moments that I have felt so sad for this remarkable stranger. Tim Ferriss is a searcher and what I believe he searches for most is his own psychic peace.

In a forum for psychiatrists, I wish I could write that Ferriss has found solace with our Food and Drug Administration–approved pharmaceuticals and with psychotherapy, but that’s not what he says. What Ferriss has found helpful, however, is psychedelics, and a wide variety of psychological and philosophical teachings ranging from meditation to Stoicism. And most notably, Ferriss has been an advocate for using hallucinogens as a legal medical intervention. Ferriss was one of four philanthropists who donated a total of $17 million to fund the Johns Hopkins Center for Psychedelic & Consciousness Research. He’s helped to move this field forward and to improve its credibility.

On Sept. 14, 2020, Tim Ferriss released a podcast he recorded with his dance partner and close friend, Debbie Millman, and when he recorded it, he was not certain he would release it. None of his usual sponsors endorsed during the podcast. He starts Episode #464 with, “For me, this is the most important podcast episode I’ve ever published. In it, I describe the most life-shaping, certainly the most difficult, and certainly the most transformative journey of my 43 years on this planet. I’ve never shared it before.”

I applaud Mr. Ferriss for going through with posting the podcast, a confessional about how he was repeatedly sexually molested over a 2-year period as a young child by a babysitter’s son. He worried about how this would affect his family, if they would be left feeling guilty or devastated. He says, “Please note that I expect to be completely overwhelmed emotionally and otherwise when this is published and please understand if I’m not able to reply to any outreach.”

Ferriss and Millman had a long discussion about their sexual abuse as children. Millman was abused by her stepfather at the age of 9, and she talks about confronting him many years later. Ferriss has not confronted his perpetrator, though he has contemplated doing so.

Sexual violence and violation at any age leaves people scarred. In a recent letter to the New York Times in response to President Trump’s words of support to Ghislaine Maxwell, the woman who helped Jeffrey Epstein find his victims, Baltimore psychiatrist Robin Weiss wrote, “Thirty-eight years ago, when I was 32, I was raped. I was married, I was a doctor – you might say I was in pretty stable shape. Yet the shame and guilt I felt were overwhelming. Why didn’t I fight harder? How did I let this happen? I knew better, yet it took me years to overcome those irrational feelings.” These feelings of shame, guilt, self-doubt, and self-blame are nearly universal in survivors of sexual trauma. In children, they can be even worse, as children often don’t have an understanding that what is being done to them is wrong. They lack the language and the maturity to process the events, and ongoing abuse may be accompanied by threats to life of the child or their family members if they tell others, as was the case with Millman. She chose to process her abuse and the consequent difficulties she had by seeking psychiatric care. She took antidepressants and has been in psychoanalysis, both of which she has found to be helpful. Her treatment has tamed her demons, it is ongoing decades later and those demons have not vanished.
 

Abuse comes back in ‘a tidal wave’

Not surprisingly, Ferriss struggled with whether to make these events public. While so much of his story feels familiar to those of us who help patients process their trauma, it’s not completely typical. Ferriss remembered these episodes of sexual abuse “in high resolution,” while using ayahuasca, a hallucinogen, about 5 years ago. He describes suppressing and discounting these memories until he attended a 10-day silent retreat where he used psilocybin. I found it interesting that Ferriss fasted for 5 days before attending the retreat “to increase the depth of the experience.” He goes on to say, “Around day 6 of this silent retreat, all of this abuse came back to me like a tidal wave and it was replaying as if I was wearing a virtual reality headset. I was immersed, I wasn’t an observer, it was as though I was being traumatized and retraumatized 24/7.” He describes an excruciating and horrifying experience and he referred to it as a “psychotic break.”

Ferriss goes on to talk about how bringing these memories to light has affected him, how it’s explained many of his behaviors and ways of relating in a way that has helped him organize and understand his life.

“It was at the tail end of the retreat that I realized that these 17 seemingly inexplicable behaviors of mine – these vicious cycles or triggers that I had been treating like separate problems to be solved, were all downstream of this trauma. Oh, now that you click that puzzle piece into place, these really strange behaviors – this self-loathing, this rage that was seemingly so exaggerated and disproportionate – leading to the near-suicide I had in college – all these things fell into places making sense.” It gave him a sense of relief but was simultaneously overwhelming.

Both Ferriss and Millman talk about books and treatments that have been helpful to them. Their knowledge of trauma treatments and resources is impressive and can be found at: Tim Ferriss – My Healing Journey After Childhood Abuse (Includes Extensive Resource List). Their wish is to share their suffering as a way to help others, impart hope, and better connect.
 

Dr. Miller is coauthor with Annette Hanson, MD, of “Committed: The Battle Over Involuntary Psychiatry Care” (Baltimore: Johns Hopkins University, 2016). She has a private practice and is assistant professor of psychiatry and behavioral sciences at Johns Hopkins, both in Baltimore.

Let me tell you about Tim Ferriss. A few years ago, I started reading his best-selling book, The 4-Hour Body. Ferris detailed how he made himself into a one-man experiment – he’d make changes to his diet, checked his weight and his labs, maybe he even had metabolic studies done.

Courtesy Taylor Prinsen

He’d take these measures after soaking in hot baths, then ice baths, and while I admired his discipline, he did lose me during the chapter where he was using steroids. In the end, he advised a dairy-free, low-carbohydrate diet of green vegetables, beans or lentils, and protein for four meals a day, 6 days a week, with free-for-all eating on the 7th day. Then, there was a weight-lifting routine with kettle bells and ice packs to be placed on your shoulders for a set amount of time each day.

I may not remember the program’s details, but something about Ferris fascinated me. He brands himself as being a “human guinea pig,” about “lifestyle design,” and whatever that is, I like it. Perhaps I am attracted to the idea that we might control the trajectories of our generally uncontrollable lives.

Tim Ferriss graduated from Princeton, he’s written five best-selling books and has a popular podcast, he’s been a TED speaker, and he’s been on Fortune’s “40 under 40” list – and there’s so much more. Ferriss is brilliant, innovative, handsome, charismatic, prolific, extraordinarily athletic. I may have forgotten to mention that he was the National Chinese Kickboxing Champion and was a semifinalist in the World Champion Tango competition in Buenos Aires. He’s adventuresome and fearless, and if that isn’t enough, he speaks five languages. In the genetic dice roll, Mr. Ferriss did well, and he’s a driven and energetic hard worker who is open to new experiences.

I subscribe to the Tim Ferriss podcast – as of this writing, there are 466 episodes, with an incredible lineup of interviews with famous and successful guests. I also subscribe to his “5-Bullet Friday” email list where he mentions the interesting things he is reading, watching, learning about, or eating, and the products he is trying – single-ply toilet paper gets a thumbs down – then ends with a thought-provoking quote. This gentleman spends a tremendous amount of time searching and striving, working on himself and his own emotional growth and self-improvement, and yet he still has time for incredible explorations and experiences.

A search for psychic peace

Honestly, were it not for a few little details, I would like to be Tim Ferriss. Who wouldn’t? But what stops me from actually wanting to be Ferriss is that early on while listening to him, I realized that his drive has been fueled by intense psychic pain. He talks openly about being very close to suicide in college, about a tormenting mood disorder, demons to tame, and productivity as an antidote to a fear of failure, not always as a joy for life. There are moments that I have felt so sad for this remarkable stranger. Tim Ferriss is a searcher and what I believe he searches for most is his own psychic peace.

In a forum for psychiatrists, I wish I could write that Ferriss has found solace with our Food and Drug Administration–approved pharmaceuticals and with psychotherapy, but that’s not what he says. What Ferriss has found helpful, however, is psychedelics, and a wide variety of psychological and philosophical teachings ranging from meditation to Stoicism. And most notably, Ferriss has been an advocate for using hallucinogens as a legal medical intervention. Ferriss was one of four philanthropists who donated a total of $17 million to fund the Johns Hopkins Center for Psychedelic & Consciousness Research. He’s helped to move this field forward and to improve its credibility.

On Sept. 14, 2020, Tim Ferriss released a podcast he recorded with his dance partner and close friend, Debbie Millman, and when he recorded it, he was not certain he would release it. None of his usual sponsors endorsed during the podcast. He starts Episode #464 with, “For me, this is the most important podcast episode I’ve ever published. In it, I describe the most life-shaping, certainly the most difficult, and certainly the most transformative journey of my 43 years on this planet. I’ve never shared it before.”

I applaud Mr. Ferriss for going through with posting the podcast, a confessional about how he was repeatedly sexually molested over a 2-year period as a young child by a babysitter’s son. He worried about how this would affect his family, if they would be left feeling guilty or devastated. He says, “Please note that I expect to be completely overwhelmed emotionally and otherwise when this is published and please understand if I’m not able to reply to any outreach.”

Ferriss and Millman had a long discussion about their sexual abuse as children. Millman was abused by her stepfather at the age of 9, and she talks about confronting him many years later. Ferriss has not confronted his perpetrator, though he has contemplated doing so.

Sexual violence and violation at any age leaves people scarred. In a recent letter to the New York Times in response to President Trump’s words of support to Ghislaine Maxwell, the woman who helped Jeffrey Epstein find his victims, Baltimore psychiatrist Robin Weiss wrote, “Thirty-eight years ago, when I was 32, I was raped. I was married, I was a doctor – you might say I was in pretty stable shape. Yet the shame and guilt I felt were overwhelming. Why didn’t I fight harder? How did I let this happen? I knew better, yet it took me years to overcome those irrational feelings.” These feelings of shame, guilt, self-doubt, and self-blame are nearly universal in survivors of sexual trauma. In children, they can be even worse, as children often don’t have an understanding that what is being done to them is wrong. They lack the language and the maturity to process the events, and ongoing abuse may be accompanied by threats to life of the child or their family members if they tell others, as was the case with Millman. She chose to process her abuse and the consequent difficulties she had by seeking psychiatric care. She took antidepressants and has been in psychoanalysis, both of which she has found to be helpful. Her treatment has tamed her demons, it is ongoing decades later and those demons have not vanished.
 

Abuse comes back in ‘a tidal wave’

Not surprisingly, Ferriss struggled with whether to make these events public. While so much of his story feels familiar to those of us who help patients process their trauma, it’s not completely typical. Ferriss remembered these episodes of sexual abuse “in high resolution,” while using ayahuasca, a hallucinogen, about 5 years ago. He describes suppressing and discounting these memories until he attended a 10-day silent retreat where he used psilocybin. I found it interesting that Ferriss fasted for 5 days before attending the retreat “to increase the depth of the experience.” He goes on to say, “Around day 6 of this silent retreat, all of this abuse came back to me like a tidal wave and it was replaying as if I was wearing a virtual reality headset. I was immersed, I wasn’t an observer, it was as though I was being traumatized and retraumatized 24/7.” He describes an excruciating and horrifying experience and he referred to it as a “psychotic break.”

Ferriss goes on to talk about how bringing these memories to light has affected him, how it’s explained many of his behaviors and ways of relating in a way that has helped him organize and understand his life.

“It was at the tail end of the retreat that I realized that these 17 seemingly inexplicable behaviors of mine – these vicious cycles or triggers that I had been treating like separate problems to be solved, were all downstream of this trauma. Oh, now that you click that puzzle piece into place, these really strange behaviors – this self-loathing, this rage that was seemingly so exaggerated and disproportionate – leading to the near-suicide I had in college – all these things fell into places making sense.” It gave him a sense of relief but was simultaneously overwhelming.

Both Ferriss and Millman talk about books and treatments that have been helpful to them. Their knowledge of trauma treatments and resources is impressive and can be found at: Tim Ferriss – My Healing Journey After Childhood Abuse (Includes Extensive Resource List). Their wish is to share their suffering as a way to help others, impart hope, and better connect.
 

Dr. Miller is coauthor with Annette Hanson, MD, of “Committed: The Battle Over Involuntary Psychiatry Care” (Baltimore: Johns Hopkins University, 2016). She has a private practice and is assistant professor of psychiatry and behavioral sciences at Johns Hopkins, both in Baltimore.

Let me tell you about Tim Ferriss. A few years ago, I started reading his best-selling book, The 4-Hour Body. Ferris detailed how he made himself into a one-man experiment – he’d make changes to his diet, checked his weight and his labs, maybe he even had metabolic studies done.

Courtesy Taylor Prinsen

He’d take these measures after soaking in hot baths, then ice baths, and while I admired his discipline, he did lose me during the chapter where he was using steroids. In the end, he advised a dairy-free, low-carbohydrate diet of green vegetables, beans or lentils, and protein for four meals a day, 6 days a week, with free-for-all eating on the 7th day. Then, there was a weight-lifting routine with kettle bells and ice packs to be placed on your shoulders for a set amount of time each day.

I may not remember the program’s details, but something about Ferris fascinated me. He brands himself as being a “human guinea pig,” about “lifestyle design,” and whatever that is, I like it. Perhaps I am attracted to the idea that we might control the trajectories of our generally uncontrollable lives.

Tim Ferriss graduated from Princeton, he’s written five best-selling books and has a popular podcast, he’s been a TED speaker, and he’s been on Fortune’s “40 under 40” list – and there’s so much more. Ferriss is brilliant, innovative, handsome, charismatic, prolific, extraordinarily athletic. I may have forgotten to mention that he was the National Chinese Kickboxing Champion and was a semifinalist in the World Champion Tango competition in Buenos Aires. He’s adventuresome and fearless, and if that isn’t enough, he speaks five languages. In the genetic dice roll, Mr. Ferriss did well, and he’s a driven and energetic hard worker who is open to new experiences.

I subscribe to the Tim Ferriss podcast – as of this writing, there are 466 episodes, with an incredible lineup of interviews with famous and successful guests. I also subscribe to his “5-Bullet Friday” email list where he mentions the interesting things he is reading, watching, learning about, or eating, and the products he is trying – single-ply toilet paper gets a thumbs down – then ends with a thought-provoking quote. This gentleman spends a tremendous amount of time searching and striving, working on himself and his own emotional growth and self-improvement, and yet he still has time for incredible explorations and experiences.

A search for psychic peace

Honestly, were it not for a few little details, I would like to be Tim Ferriss. Who wouldn’t? But what stops me from actually wanting to be Ferriss is that early on while listening to him, I realized that his drive has been fueled by intense psychic pain. He talks openly about being very close to suicide in college, about a tormenting mood disorder, demons to tame, and productivity as an antidote to a fear of failure, not always as a joy for life. There are moments that I have felt so sad for this remarkable stranger. Tim Ferriss is a searcher and what I believe he searches for most is his own psychic peace.

In a forum for psychiatrists, I wish I could write that Ferriss has found solace with our Food and Drug Administration–approved pharmaceuticals and with psychotherapy, but that’s not what he says. What Ferriss has found helpful, however, is psychedelics, and a wide variety of psychological and philosophical teachings ranging from meditation to Stoicism. And most notably, Ferriss has been an advocate for using hallucinogens as a legal medical intervention. Ferriss was one of four philanthropists who donated a total of $17 million to fund the Johns Hopkins Center for Psychedelic & Consciousness Research. He’s helped to move this field forward and to improve its credibility.

On Sept. 14, 2020, Tim Ferriss released a podcast he recorded with his dance partner and close friend, Debbie Millman, and when he recorded it, he was not certain he would release it. None of his usual sponsors endorsed during the podcast. He starts Episode #464 with, “For me, this is the most important podcast episode I’ve ever published. In it, I describe the most life-shaping, certainly the most difficult, and certainly the most transformative journey of my 43 years on this planet. I’ve never shared it before.”

I applaud Mr. Ferriss for going through with posting the podcast, a confessional about how he was repeatedly sexually molested over a 2-year period as a young child by a babysitter’s son. He worried about how this would affect his family, if they would be left feeling guilty or devastated. He says, “Please note that I expect to be completely overwhelmed emotionally and otherwise when this is published and please understand if I’m not able to reply to any outreach.”

Ferriss and Millman had a long discussion about their sexual abuse as children. Millman was abused by her stepfather at the age of 9, and she talks about confronting him many years later. Ferriss has not confronted his perpetrator, though he has contemplated doing so.

Sexual violence and violation at any age leaves people scarred. In a recent letter to the New York Times in response to President Trump’s words of support to Ghislaine Maxwell, the woman who helped Jeffrey Epstein find his victims, Baltimore psychiatrist Robin Weiss wrote, “Thirty-eight years ago, when I was 32, I was raped. I was married, I was a doctor – you might say I was in pretty stable shape. Yet the shame and guilt I felt were overwhelming. Why didn’t I fight harder? How did I let this happen? I knew better, yet it took me years to overcome those irrational feelings.” These feelings of shame, guilt, self-doubt, and self-blame are nearly universal in survivors of sexual trauma. In children, they can be even worse, as children often don’t have an understanding that what is being done to them is wrong. They lack the language and the maturity to process the events, and ongoing abuse may be accompanied by threats to life of the child or their family members if they tell others, as was the case with Millman. She chose to process her abuse and the consequent difficulties she had by seeking psychiatric care. She took antidepressants and has been in psychoanalysis, both of which she has found to be helpful. Her treatment has tamed her demons, it is ongoing decades later and those demons have not vanished.
 

Abuse comes back in ‘a tidal wave’

Not surprisingly, Ferriss struggled with whether to make these events public. While so much of his story feels familiar to those of us who help patients process their trauma, it’s not completely typical. Ferriss remembered these episodes of sexual abuse “in high resolution,” while using ayahuasca, a hallucinogen, about 5 years ago. He describes suppressing and discounting these memories until he attended a 10-day silent retreat where he used psilocybin. I found it interesting that Ferriss fasted for 5 days before attending the retreat “to increase the depth of the experience.” He goes on to say, “Around day 6 of this silent retreat, all of this abuse came back to me like a tidal wave and it was replaying as if I was wearing a virtual reality headset. I was immersed, I wasn’t an observer, it was as though I was being traumatized and retraumatized 24/7.” He describes an excruciating and horrifying experience and he referred to it as a “psychotic break.”

Ferriss goes on to talk about how bringing these memories to light has affected him, how it’s explained many of his behaviors and ways of relating in a way that has helped him organize and understand his life.

“It was at the tail end of the retreat that I realized that these 17 seemingly inexplicable behaviors of mine – these vicious cycles or triggers that I had been treating like separate problems to be solved, were all downstream of this trauma. Oh, now that you click that puzzle piece into place, these really strange behaviors – this self-loathing, this rage that was seemingly so exaggerated and disproportionate – leading to the near-suicide I had in college – all these things fell into places making sense.” It gave him a sense of relief but was simultaneously overwhelming.

Both Ferriss and Millman talk about books and treatments that have been helpful to them. Their knowledge of trauma treatments and resources is impressive and can be found at: Tim Ferriss – My Healing Journey After Childhood Abuse (Includes Extensive Resource List). Their wish is to share their suffering as a way to help others, impart hope, and better connect.
 

Dr. Miller is coauthor with Annette Hanson, MD, of “Committed: The Battle Over Involuntary Psychiatry Care” (Baltimore: Johns Hopkins University, 2016). She has a private practice and is assistant professor of psychiatry and behavioral sciences at Johns Hopkins, both in Baltimore.

Suicidality appears to have increased sharply in Israel during the initial nationwide lockdown implemented in response to the COVID-19 pandemic, Gil Zalsman, MD, MHA, reported at the virtual congress of the European College of Neuropsychopharmacology.

He presented highlights from a soon-to-be-published analysis of the content of online chat sessions fielded by a national crisis hotline (Sahar.org.il) during the first 6 months of 2020, compared with January through June 2019, in the pre-COVID-19 era.

It’s far too early to say whether actual deaths tied to suicide rose significantly during the spring lockdown, since medical examiners often take a long time before ruling suicide as cause of death. But this much is clear: The number of suicide-related chat sessions recorded at the volunteer-staffed national hotline during April 2020 was two-and-a-half times greater than in April 2019, and threefold greater in May 2020 than a year earlier, according to Dr. Zalsman, professor of psychiatry at Tel Aviv University and director of the Geha Mental Health Center in Petach Tikva, Israel, where he also directs an adolescent day unit.

The proportion of chats handled at the crisis hotline, many of them concerned with the standard topics – relationships, stress, fears, anxiety, and other non–suicide-related issues – was 48% greater in the first half of 2020, compared with a year earlier. Indeed, the pandemic is putting an enormous strain on crisis hotlines the world over.

“Everybody who is working hotlines knows that they’re falling apart. There are too many calls, too many chats. They need to multiply their volunteers,” Dr. Zalsman said.

The number of suicide-related online chats jumped the week of March 12, when schools closed across Israel and a partial lockdown began. The peak in suicide-related chats occurred beginning the week of April 17, when the forced total lockdown was declared.

“Everything was closed. You couldn’t go out or the police would arrest you,” Dr. Zalsman recalled.

The suicide-related chat count started to drop off in mid-May, when schools reopened, and continued to decline through the end of June.

Only a small percentage of suicide-related chats were deemed by crisis hotline volunteers and their supervisors to be truly life-threatening situations necessitating a call to the police. But the number of such exchanges was significantly greater in April and May 2020 than in January and February, or in April and May 2019.

Use of the crisis hotline is ordinarily skewed toward tech-savvy young people, or as Dr. Zalsman called them, “kids who live inside their computers.” He note that the psychological impact of the pandemic on children and adolescents is largely unexplored research territory to date.

“For some young kids, the fear that they will contaminate their parents or grandparents is horrifying. You can kill your grandfather by coughing,” Dr. Zalsman said.
 

Older people also seek help

A finding that he and his coinvestigators didn’t anticipate was the significantly increased use of the service by individuals aged 65 and older during the pandemic. This underscores the increased vulnerability of older people, which stems in part from their heightened risk for severe infection and consequent need for prolonged physical isolation, he said.

The conventional thinking among suicidologists is that during times of crisis – wars, natural disasters – suicidality plunges, then rises quickly afterward.

“People withhold themselves. When there’s a big danger from outside they ignore the danger from inside. And once the danger from outside is gone, they’re left with emptiness, unemployment, economic crisis, and they start” taking their own lives, Dr. Zalsman explained. He expects suicidality to increase after the pandemic, or as the Israeli crisis hotline data suggest, perhaps even during it, for multiple reasons. Patients with preexisting psychiatric disorders are often going untreated. The prolonged physical isolation causes emotional difficulties for some people, especially when accompanied by social isolation and loneliness. There is grief over the loss of friends and relatives because of COVID-19. And there is an expectation of looming economic hardship, with mounting unemployment and bankruptcies.

Dr. Zalsman reported having no financial conflicts regarding his study, conducted free of commercial support.

bjancin@mdedge.com

SOURCE: Zalsman G. ECNP 2020, Session TP.06.

Suicidality appears to have increased sharply in Israel during the initial nationwide lockdown implemented in response to the COVID-19 pandemic, Gil Zalsman, MD, MHA, reported at the virtual congress of the European College of Neuropsychopharmacology.

He presented highlights from a soon-to-be-published analysis of the content of online chat sessions fielded by a national crisis hotline (Sahar.org.il) during the first 6 months of 2020, compared with January through June 2019, in the pre-COVID-19 era.

It’s far too early to say whether actual deaths tied to suicide rose significantly during the spring lockdown, since medical examiners often take a long time before ruling suicide as cause of death. But this much is clear: The number of suicide-related chat sessions recorded at the volunteer-staffed national hotline during April 2020 was two-and-a-half times greater than in April 2019, and threefold greater in May 2020 than a year earlier, according to Dr. Zalsman, professor of psychiatry at Tel Aviv University and director of the Geha Mental Health Center in Petach Tikva, Israel, where he also directs an adolescent day unit.

The proportion of chats handled at the crisis hotline, many of them concerned with the standard topics – relationships, stress, fears, anxiety, and other non–suicide-related issues – was 48% greater in the first half of 2020, compared with a year earlier. Indeed, the pandemic is putting an enormous strain on crisis hotlines the world over.

“Everybody who is working hotlines knows that they’re falling apart. There are too many calls, too many chats. They need to multiply their volunteers,” Dr. Zalsman said.

The number of suicide-related online chats jumped the week of March 12, when schools closed across Israel and a partial lockdown began. The peak in suicide-related chats occurred beginning the week of April 17, when the forced total lockdown was declared.

“Everything was closed. You couldn’t go out or the police would arrest you,” Dr. Zalsman recalled.

The suicide-related chat count started to drop off in mid-May, when schools reopened, and continued to decline through the end of June.

Only a small percentage of suicide-related chats were deemed by crisis hotline volunteers and their supervisors to be truly life-threatening situations necessitating a call to the police. But the number of such exchanges was significantly greater in April and May 2020 than in January and February, or in April and May 2019.

Use of the crisis hotline is ordinarily skewed toward tech-savvy young people, or as Dr. Zalsman called them, “kids who live inside their computers.” He note that the psychological impact of the pandemic on children and adolescents is largely unexplored research territory to date.

“For some young kids, the fear that they will contaminate their parents or grandparents is horrifying. You can kill your grandfather by coughing,” Dr. Zalsman said.
 

Older people also seek help

A finding that he and his coinvestigators didn’t anticipate was the significantly increased use of the service by individuals aged 65 and older during the pandemic. This underscores the increased vulnerability of older people, which stems in part from their heightened risk for severe infection and consequent need for prolonged physical isolation, he said.

The conventional thinking among suicidologists is that during times of crisis – wars, natural disasters – suicidality plunges, then rises quickly afterward.

“People withhold themselves. When there’s a big danger from outside they ignore the danger from inside. And once the danger from outside is gone, they’re left with emptiness, unemployment, economic crisis, and they start” taking their own lives, Dr. Zalsman explained. He expects suicidality to increase after the pandemic, or as the Israeli crisis hotline data suggest, perhaps even during it, for multiple reasons. Patients with preexisting psychiatric disorders are often going untreated. The prolonged physical isolation causes emotional difficulties for some people, especially when accompanied by social isolation and loneliness. There is grief over the loss of friends and relatives because of COVID-19. And there is an expectation of looming economic hardship, with mounting unemployment and bankruptcies.

Dr. Zalsman reported having no financial conflicts regarding his study, conducted free of commercial support.

bjancin@mdedge.com

SOURCE: Zalsman G. ECNP 2020, Session TP.06.

Suicidality appears to have increased sharply in Israel during the initial nationwide lockdown implemented in response to the COVID-19 pandemic, Gil Zalsman, MD, MHA, reported at the virtual congress of the European College of Neuropsychopharmacology.

He presented highlights from a soon-to-be-published analysis of the content of online chat sessions fielded by a national crisis hotline (Sahar.org.il) during the first 6 months of 2020, compared with January through June 2019, in the pre-COVID-19 era.

It’s far too early to say whether actual deaths tied to suicide rose significantly during the spring lockdown, since medical examiners often take a long time before ruling suicide as cause of death. But this much is clear: The number of suicide-related chat sessions recorded at the volunteer-staffed national hotline during April 2020 was two-and-a-half times greater than in April 2019, and threefold greater in May 2020 than a year earlier, according to Dr. Zalsman, professor of psychiatry at Tel Aviv University and director of the Geha Mental Health Center in Petach Tikva, Israel, where he also directs an adolescent day unit.

The proportion of chats handled at the crisis hotline, many of them concerned with the standard topics – relationships, stress, fears, anxiety, and other non–suicide-related issues – was 48% greater in the first half of 2020, compared with a year earlier. Indeed, the pandemic is putting an enormous strain on crisis hotlines the world over.

“Everybody who is working hotlines knows that they’re falling apart. There are too many calls, too many chats. They need to multiply their volunteers,” Dr. Zalsman said.

The number of suicide-related online chats jumped the week of March 12, when schools closed across Israel and a partial lockdown began. The peak in suicide-related chats occurred beginning the week of April 17, when the forced total lockdown was declared.

“Everything was closed. You couldn’t go out or the police would arrest you,” Dr. Zalsman recalled.

The suicide-related chat count started to drop off in mid-May, when schools reopened, and continued to decline through the end of June.

Only a small percentage of suicide-related chats were deemed by crisis hotline volunteers and their supervisors to be truly life-threatening situations necessitating a call to the police. But the number of such exchanges was significantly greater in April and May 2020 than in January and February, or in April and May 2019.

Use of the crisis hotline is ordinarily skewed toward tech-savvy young people, or as Dr. Zalsman called them, “kids who live inside their computers.” He note that the psychological impact of the pandemic on children and adolescents is largely unexplored research territory to date.

“For some young kids, the fear that they will contaminate their parents or grandparents is horrifying. You can kill your grandfather by coughing,” Dr. Zalsman said.
 

Older people also seek help

A finding that he and his coinvestigators didn’t anticipate was the significantly increased use of the service by individuals aged 65 and older during the pandemic. This underscores the increased vulnerability of older people, which stems in part from their heightened risk for severe infection and consequent need for prolonged physical isolation, he said.

The conventional thinking among suicidologists is that during times of crisis – wars, natural disasters – suicidality plunges, then rises quickly afterward.

“People withhold themselves. When there’s a big danger from outside they ignore the danger from inside. And once the danger from outside is gone, they’re left with emptiness, unemployment, economic crisis, and they start” taking their own lives, Dr. Zalsman explained. He expects suicidality to increase after the pandemic, or as the Israeli crisis hotline data suggest, perhaps even during it, for multiple reasons. Patients with preexisting psychiatric disorders are often going untreated. The prolonged physical isolation causes emotional difficulties for some people, especially when accompanied by social isolation and loneliness. There is grief over the loss of friends and relatives because of COVID-19. And there is an expectation of looming economic hardship, with mounting unemployment and bankruptcies.

Dr. Zalsman reported having no financial conflicts regarding his study, conducted free of commercial support.

bjancin@mdedge.com

SOURCE: Zalsman G. ECNP 2020, Session TP.06.