Confronting Uncertainty and Addressing Urgency for Action Through the Establishment of a VA Long COVID Practice-Based Research Network

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Confronting Uncertainty and Addressing Urgency for Action Through the Establishment of a VA Long COVID Practice-Based Research Network

Learning health systems (LHS) promote a continuous process that can assist in making sense of uncertainty when confronting emerging complex conditions such as Long COVID. Long COVID is an infection-associated chronic condition that detrimentally impacts veterans, their families, and the communities in which they live. This complex condition is defined by ongoing, new, or returning symptoms following COVID-19 infection that negatively affect return to meaningful participation in social, recreational, and vocational activities.1,2 The clinical uncertainty surrounding Long COVID is amplified by unclear etiology, prognosis, and expected course of symptoms.3,4 Uncertainty surrounding best clinical practices, processes, and policies for Long COVID care has resulted in practice variation despite the emerging evidence base for Long COVID care.4 Failure to address gaps in clinical evidence and care implementation threatens to perpetuate fragmented and unnecessary care.

The context surrounding Long COVID created an urgency to rapidly address clinically relevant questions and make sense of any uncertainty. Thus, the Veterans Health Administration (VHA) funded a Long COVID Practice-Based Research Network (LC-PBRN) to build an infrastructure that supports Long COVID research nationally and promotes interdisciplinary collaboration. The LC-PBRN vision is to centralize Long COVID clinical, research, and operational activities. The research infrastructure of the LC-PBRN is designed with an LHS lens to facilitate feedback loops and integrate knowledge learned while making progress towards this vision.5 This article describes the phases of infrastructure development and network building, as well as associated lessons learned.

Designing the LC-PBRN Infrastructure

The LC-PBRN is a multisite operation with interdisciplinary representatives from 4 US Department of Veterans Affairs (VA) health care systems. Each site has ≥ 1 principal investigator (0.1-0.4 full-time equivalent [FTE]) and ≥ 1 project staff member (0.5-0.8 FTE). The lead site also employs data and statistical support staff (1.5 FTE). To build this infrastructure, VHA Health Services Research awarded $1 million in November 2023 to the 4 sites. The funding was distributed over 2 years. Additional funding will be required for sustainability. The components and key infrastructure elements of the LC-PBRN are outlined in the Table. The 2-year LC-PBRN implementation activities is outlined in the Appendix.

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Vision

 

The LC-PBRN’s vision is to create an infrastructure that integrates an LHS framework by unifying the VA research approach to Long COVID to ensure veteran, clinician, operational, and researcher involvement (Figure 1). A critical aspect of this is a unifying definition of Long COVID, for which the LC-PBRN has adopted the National Academies of Science, Engineering, and Medicine (NASEM) definition: “Long COVID is an infection-associated chronic condition that occurs after SARS-CoV-2 infection and is present for at least 3 months as a continuous, relapsing and remitting, or progressive disease state that affects one or more organ systems.”6 This is a working definition to be refined over time, as necessary, based on new data. The LC-PBRN aligns with existing VA initiatives by serving as a centralized hub for internal and external networking. This approach ensures shareholder needs are identified, resources are allocated appropriately, and redundancy in efforts is avoided. In this spirit, the LC-PBRN maintains a long-term vision of collaborating with other systems to support national efforts to address Long COVID.

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Mission and Governance

The LC-PBRN operates with an executive leadership team and 5 cores. The executive leadership team is responsible for overall LC-PBRN operations, management, and direction setting of the LC-PBRN. The executive leadership team meets weekly to provide oversight of each core, which specializes in different aspects. The cores include: Administrative, Partner Engagement and Needs Assessment, Patient Identification and Analysis, Clinical Coordination and Implementation, and Dissemination (Figure 2).

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The Administrative core focuses on interagency collaboration to identify and network with key operational and agency leaders to allow for ongoing exploration of funding strategies for Long COVID research. The Administrative core manages 3 teams: an advisory board, Long COVID council, and the strategic planning team. The advisory board meets biannually to oversee achievement of LC-PBRN goals, deliverables, and tactics for meeting these goals. The advisory board includes the LC-PBRN executive leadership team and 13 interagency members from various shareholders (eg, Centers for Disease Control and Prevention, National Institutes of Health, and specialty departments within the VA).

The Long COVID council convenes quarterly to provide scientific input on important overarching issues in Long COVID research, practice, and policy. The council consists of 22 scientific representatives in VA and non-VA contexts, university affiliates, and veteran representatives. The strategic planning team convenes annually to identify how the LC-PBRN and its partners can meet the needs of the broader Long COVID ecosystem and conduct a strengths, opportunities, weaknesses, and threats analysis to identify strategic objectives and expected outcomes. The strategic planning team includes the executive leadership team and key Long COVID shareholders within VHA and affiliated partners. The Partner Engagement and Needs Assessment core aims to solicit feedback from veterans, clinicians, researchers, and operational leadership. Input is gathered through a Veteran Engagement Panel and a modified Delphi consensus process. The panel was formed using a Community Engagement Studio model to engage veterans as consultants on research.7 Currently, 10 members represent a range of ages, genders, racial and ethnic backgrounds, and military experience. All veterans have a history of Long COVID and are paid as consultants. Video conference panel meetings occur quarterly for 1 to 2 hours; the meeting length is shorter than typical engagement studios to accommodate for fatigue-related symptoms that may limit attention and ability to participate in longer meetings. Before each panel, the Partner Engagement and Needs Assessment core helps identify key questions and creates a structured agenda. Each panel begins with a presentation of a research study followed by a group discussion led by a trained facilitator. The modified Delphi consensus process focuses on identifying research priority areas for Long COVID within the VA. Veterans living with Long COVID, as well as clinicians and researchers who work closely with patients who have Long COVID, complete a series of progressive surveys to provide input on research priorities.

The Partner Engagement and Needs Assessment core also actively provides outreach to important partners in research, clinical care, and operational leadership to facilitate introductory meetings to (1) ask partners to describe their 5 largest pain points, (2) find pain points within the scope of LC-PBRN resources, and (3) discuss the strengths and capacity of the PBRN. During introductory meetings, communications preferences and a cadence for subsequent meetings are established. Subsequent engagement meetings aim to provide updates and codevelop solutions to emerging issues. This core maintains a living document to track engagement efforts, points of contact for identified and emerging partners, and ensure all communication is timely.

The Patient Identification and Analysis core develops a database of veterans with confirmed or suspected Long COVID. The goal is for researchers to use the database to identify potential participants for clinical trials and monitor clinical care outcomes. When possible, this core works with existing VA data to facilitate research that aligns with the LC-PBRN mission. The core can also use natural language processing and machine learning to work with researchers conducting clinical trials to help identify patients who may meet eligibility criteria.

The Clinical Coordination and Implementation core gathers information on the best practices for identifying and recruiting veterans for Long COVID research as well as compiles strategies for standardized clinical assessments that can both facilitate ongoing research and the successful implementation of evidence-based care. The Clinical Coordination and Implementation core provides support to pilot and multisite trials in 3 ways. First, it develops toolkits such as best practice strategies for recruiting participants for research, template examples of recruitment materials, and a library of patient-reported outcome measures, standardized clinical note titles and templates in use for Long COVID in the national electronic health record. Second, it partners with the Patient Identification and Analysis core to facilitate access to and use of algorithms that identify Long COVID cases based on electronic health records for recruitment. Finally, it compiles a detailed list of potential collaborating sites. The steps to facilitate patient identification and recruitment inform feasibility assessments and improve efficiency of launching pilot studies and multisite trials. The library of outcome measures, standardized clinical notes, and templates can aid and expedite data collection.

The Dissemination core focuses on developing a website, creating a dissemination plan, and actively disseminating products of the LC-PBRN and its partners. This core’s foundational framework is based on the Agency for Healthcare Research and Quality Quick-Start Guide to Dissemination for PBRNs.8,9 The core built an internal- and external-facing website to connect users with LC-PBRN products, potential outreach contacts, and promote timely updates on LC-PBRN activities. A manual of operating procedures will be drafted to include the development of training for practitioners involved in research projects to learn the processes involved in presenting clinical results for education and training initiatives, presentations, and manuscript preparation. A toolkit will also be developed to support dissemination activities designed to reach a variety of end-users, such as education materials, policy briefings, educational briefs, newsletters, and presentations at local, regional, and national levels.

Key Partners

Key partners exist specific to the LC-PBRN and within the broader VA ecosystem, including VA clinical operations, VA research, and intra-agency collaborations.

LC-PBRN Specific. In addition to the LC-PBRN council, advisory board, and Veteran Engagement Panel discussed earlier, the LC-PBRN has 8 VA Long COVID clinical sites that have joined the network. As part of the network, these sites gain greater insight into the Long COVID ecosystem within the VA through priority access to the Long COVID Veteran Engagement Panel and recognition as members of the network. The LC-PBRN also meets monthly with pilot projects conducted at other VA facilities to learn more about how Long COVID research is being implemented and identify how the LC-PBRN can assist in troubleshooting barriers.

VA Clinical Operations. To support clinical operations, a Long COVID Field Advisory Board was formed through the VA Office of Specialty Care as an operational effort to develop clinical best practice. The LC-PBRN consults with this group on veteran engagement strategies for input on clinical guides and dissemination of practice guide materials. The LC-PBRN also partners with an existing Long COVID Community of Practice and the Office of Primary Care. The Community of Practice provides a learning space for VA staff interested in advancing Long COVID care and assists with disseminating LC-PBRN to the broader Long COVID clinical community. A member of the Office of Primary Care sits on the PBRN advisory board to provide input on engaging primary care practitioners and ensure their unique needs are considered in LC-PBRN initiatives.

VA Research & Interagency Collaborations. The LC-PBRN engages monthly with an interagency workgroup led by the US Department of Health and Human Services Office of Long COVID Research and Practice. These engagements support identification of research gaps that the VA may help address, monitor emerging funding opportunities, and foster collaborations. LC-PBRN representatives also meet with staff at the National Institutes of Health Researching COVID to Enhance Recovery initiative to identify pathways for veteran recruitment.

LHS Feedback Loops

The LC-PBRN was designed with an LHS approach in mind.10 Throughout development of the LC-PBRN, consideration was given to (1) capture data on new efforts within the Long COVID ecosystem (performance to data), (2) examine performance gaps and identify approaches for best practice (data to knowledge), and (3) implement best practices, develop toolkits, disseminate findings, and measure impacts (knowledge to performance). With this approach, the LC-PBRN is constantly evolving based on new information coming from the internal and external Long COVID ecosystem. Each element was deliberatively considered in relation to how data can be transformed into knowledge, knowledge into performance, and performance into data.

First, an important mechanism for feedback involves establishing clear channels of communication. Regular check-ins with key partners occur through virtual meetings to provide updates, assess needs and challenges, and codevelop action plans. For example, during a check-in with the Long COVID Field Advisory Board, members expressed a desire to incorporate veteran feedback into VA clinical practice recommendations. We provided expertise on different engagement modalities (eg, focus groups vs individual interviews), and collaboration occurred to identify key interview questions for veterans. This process resulted in a published clinician-facing Long COVID Nervous System Clinical Guide (available at longcovid@hhs.gov) that integrated critical feedback from veterans related to neurological symptoms.

Second, weekly executive leadership meetings include dedicated time for reflection on partner feedback, the current state of Long COVID, and contextual changes that impact deliverable priorities and timelines. Outcomes from these discussions are communicated with VHA Health Services Research and, when appropriate, to key partners to ensure alignment. For example, the Patient Identification and Analysis core was originally tasked with identifying a definition of Long COVID. However, as the broader community moved away from a singular definition, efforts were redirected toward higher-priority issues within the VA Long COVID ecosystem, including veteran enrollment in clinical trials.

Third, the Veteran Engagement Panel captures feedback from those with lived experience to inform Long COVID research and clinical efforts. The panel meetings are strategically designed to ask veterans living with Long COVID specific questions related to a given research or clinical topic of interest. For example, panel sessions with the Field Advisory Board focused on concerns articulated by veterans related to the mental health and gastroenterological symptoms associated with Long COVID. Insights from these discussions will inform development of Long COVID mental health and gastroenterological clinical care guides, with several PBRN investigators serving as subject matter experts. This collaborative approach ensures that veteran perspectives are represented in developing Long COVID clinical care processes.

Fourth, research priorities identified through the Delphi consensus process will inform development of VA Request for Funding Proposals related to Long COVID. The initial survey was developed in collaboration with veterans, clinicians, and researchers across the Veteran Engagement Panel, the Field Advisory Board, and the National Research Action Plan on Long COVID.11 The process was launched in October 2024 and concluded in June 2025. The team conducted 3 consensus rounds with veterans and VA clinicians and researchers. Top priority areas included the testing assessments for diagnosing Long COVID, studying subtypes of Long COVID and treatments for each, and finding biomarkers for Long COVID. A formal publication of the results and analysis is the focus of a future publication.

Fifth, ongoing engagement with the Field Advisory Board has supported adoption of a preliminary set of clinical outcome measures. If universally adopted, these instruments may contribute to the development of a standardized data collection process and serve as common data elements collected for epidemiologic, health services, or clinical trial research.

Lessons Learned and Practice Implications

Throughout the development of the LC-PBRN, several decisions were identified that have impacted infrastructure development and implementation.

Include veterans’ voices to ensure network efforts align with patient needs. Given the novelty of Long COVID, practitioners and researchers are learning as they go. It is important to listen to individuals who live with Long COVID. Throughout the development of the LC-PBRN, veteran perspective has proven how vital it is for them to be heard when it comes to their health care. Clinicians similarly highlighted the value of incorporating patient perspectives into the development of tools and treatment strategies. Develop an interdisciplinary leadership team to foster the diverse viewpoints needed to tackle multifaceted problems. It is important to consider as many clinical and research perspectives as possible because Long COVID is a complex condition with symptoms impacting major organ systems.12-15 Therefore, the team spans across a multitude of specialties and locations.

Set clear expectations and goals with partners to uphold timely deliverables and stay within the PBRN’s capacity. When including a multitude of partners, teams should consider each of those partners’ experiences and opinions in decision-making conversations. Expectation setting is important to ensure all partners are on the same page and understand the capacity of the LC-PBRN. This allows the team to focus its efforts, avoid being overwhelmed with requests, and provide quality deliverables.

Build engaging relationships to bridge gaps between internal and external partners. A substantial number of resources focus on building relationships with partners so they can trust the LC-PBRN has their best interests in mind. These relationships are important to ensure the VA avoids duplicate efforts. This includes prioritizing connecting partners who are working on similar efforts to promote collaboration across facilities.

Clinical practice implications. The LC-PBRN is working towards clinical practice initiatives derived from this process in partnership with the Long COVID Community of Practice and the participating clinical sites. This may include efforts to increase the uptake of standardized instruments endorsed by clinical partners that facilitate assessment of outcomes. PBRN partners can then use outcomes data to ask and answer clinically relevant research questions and assess care quality to inform the learning process that is integral to an LHS. Future dissemination efforts will be centered around individual initiatives and deliverables from the LC-PBRN.

Conclusions

PBRNs provide an important mechanism to use LHS approaches to successfully convene research around complex issues. PBRNs can support integration across the LHS cycle, allowing for multiple feedback loops, and coordinate activities that work to achieve a larger vision. PBRNs offer centralized mechanisms to collaboratively understand and address complex problems, such as Long COVID, where the uncertainty regarding how to treat occurs in tandem with the urgency to treat. The LC-PBRN model described in this article has the potential to transcend Long COVID by building infrastructure necessary to proactively address current or future clinical conditions or populations with a LHS lens. The infrastructure can require cross-system and sector collaborations, expediency, inclusivity, and patient- and family-centeredness. Future efforts will focus on building out a larger network of VHA sites, facilitating recruitment at site and veteran levels into Long COVID trials through case identification, and systematically support the standardization of clinical data for clinical utility and evaluation of quality and/or outcomes across the VHA.

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References
  1. Ottiger M, Poppele I, Sperling N, et al. Work ability and return-to-work of patients with post-COVID-19: a systematic review and meta-analysis. BMC Public Health. 2024;24:1811. doi:10.1186/s12889-024-19328-6
  2. Ziauddeen N, Gurdasani D, O’Hara ME, et al. Characteristics and impact of Long Covid: findings from an online survey. PLOS ONE. 2022;17:e0264331. doi:10.1371/journal.pone.0264331
  3. Graham F. Daily briefing: Answers emerge about long COVID recovery. Nature. Published online June 28, 2023. doi:10.1038/d41586-023-02190-8
  4. Al-Aly Z, Davis H, McCorkell L, et al. Long COVID science, research and policy. Nat Med. 2024;30:2148-2164. doi:10.1038/s41591-024-03173-6
  5. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255
  6. Ely EW, Brown LM, Fineberg HV. Long covid defined. N Engl J Med. 2024;391:1746-1753.doi:10.1056/NEJMsb2408466
  7. Joosten YA, Israel TL, Williams NA, et al. Community engagement studios: a structured approach to obtaining meaningful input from stakeholders to inform research. Acad Med. 2015;90:1646-1650. doi:10.1097/ACM.0000000000000794
  8. AHRQ. Quick-start guide to dissemination for practice-based research networks. Revised June 2014. Accessed December 2, 2025. https://www.ahrq.gov/sites/default/files/wysiwyg/ncepcr/resources/dissemination-quick-start-guide.pdf
  9. Gustavson AM, Morrow CD, Brown RJ, et al. Reimagining how we synthesize information to impact clinical care, policy, and research priorities in real time: examples and lessons learned from COVID-19. J Gen Intern Med. 2024;39:2554-2559. doi:10.1007/s11606-024-08855-y
  10. University of Minnesota. About the Center for Learning Health System Sciences. Updated December 11, 2025. Accessed December 12, 2025. https://med.umn.edu/clhss/about-us
  11. AHRQ. National Research Action Plan. Published online 2022. Accessed February 14, 2024. https://www.covid.gov/sites/default/files/documents/National-Research-Action-Plan-on-Long-COVID-08012022.pdf
  12. Gustavson AM, Eaton TL, Schapira RM, et al. Approaches to long COVID care: the Veterans Health Administration experience in 2021. BMJ Mil Health. 2024;170:179-180. doi:10.1136/military-2022-002185
  13. Gustavson AM. A learning health system approach to long COVID care. Fed Pract. 2022;39:7. doi:10.12788/fp.0288
  14. Palacio A, Bast E, Klimas N, et al. Lessons learned in implementing a multidisciplinary long COVID clinic. Am J Med. 2025;138:843-849.doi:10.1016/j.amjmed.2024.05.020
  15. Prusinski C, Yan D, Klasova J, et al. Multidisciplinary management strategies for long COVID: a narrative review. Cureus. 2024;16:e59478. doi:10.7759/cureus.59478
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Allison M. Gustavson, PT, DPT, PhDa,b; Alicia B. Woodward-Abel, MPHa; Tammy L. Eaton, PhD, MSc, FNP-BCc,d; Troy Layouni, MPHe; Sena Soleimannejad, MPHf; Carla Amundson, MAa; Emily Hudson, PhDa; Megan Miller, PhDe,g; Collin Calvert, PhD, MPHa,b; Marianne Goodman, MDf,h,i; Timothy J. Wilt, MD, MPHa,b; Norbert Bräu, MD, MBAf,i; Kristina Crothers, MDe,g,j; R. Adams Dudley, MD, MBAa,b; Aaron P. Turner, PhDe,g

Author affiliations
aMinneapolis Veterans Affairs Health Care System, Minnesota
bUniversity of Minnesota, Minneapolis
cUniversity of Michigan, Ann Arbor
dVeterans Affairs Ann Arbor Healthcare System, Michigan
eVeterans Affairs Puget Sound Health Care System, Seattle, Washington
fJames J. Peters Veterans Affairs Medical Center, Bronx, New York
gUniversity of Washington, Seattle
hVeterans Integrated Service Network (VISN) 2 Mental Illness Research, Education, Clinical Center
iIcahn School of Medicine at Mount Sinai, New York
jSeattle-Denver Center of Innovation (COIN) for Veteran-Centered and Value-Driven Care

Correspondence: Allison Gustavson (allison.gustavson@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0669

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

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

Acknowledgments The authors thank all Long COVID Practice-Based Research Network partners who provided input on this manuscript.

Funding This work is supported by VA Health Systems Research (C19 23-087). Dr. Gustavson’s time is further supported by the Center for Care Delivery and Outcomes Research (CIN 13-406) and the Rehabilitation Research and Development Center for Rehabilitation & Engineering Center for Optimizing Veteran Engagement & Reintegration (A4836-C), both with the Minneapolis Veterans Affairs Health Care System.

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Allison M. Gustavson, PT, DPT, PhDa,b; Alicia B. Woodward-Abel, MPHa; Tammy L. Eaton, PhD, MSc, FNP-BCc,d; Troy Layouni, MPHe; Sena Soleimannejad, MPHf; Carla Amundson, MAa; Emily Hudson, PhDa; Megan Miller, PhDe,g; Collin Calvert, PhD, MPHa,b; Marianne Goodman, MDf,h,i; Timothy J. Wilt, MD, MPHa,b; Norbert Bräu, MD, MBAf,i; Kristina Crothers, MDe,g,j; R. Adams Dudley, MD, MBAa,b; Aaron P. Turner, PhDe,g

Author affiliations
aMinneapolis Veterans Affairs Health Care System, Minnesota
bUniversity of Minnesota, Minneapolis
cUniversity of Michigan, Ann Arbor
dVeterans Affairs Ann Arbor Healthcare System, Michigan
eVeterans Affairs Puget Sound Health Care System, Seattle, Washington
fJames J. Peters Veterans Affairs Medical Center, Bronx, New York
gUniversity of Washington, Seattle
hVeterans Integrated Service Network (VISN) 2 Mental Illness Research, Education, Clinical Center
iIcahn School of Medicine at Mount Sinai, New York
jSeattle-Denver Center of Innovation (COIN) for Veteran-Centered and Value-Driven Care

Correspondence: Allison Gustavson (allison.gustavson@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0669

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

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

Acknowledgments The authors thank all Long COVID Practice-Based Research Network partners who provided input on this manuscript.

Funding This work is supported by VA Health Systems Research (C19 23-087). Dr. Gustavson’s time is further supported by the Center for Care Delivery and Outcomes Research (CIN 13-406) and the Rehabilitation Research and Development Center for Rehabilitation & Engineering Center for Optimizing Veteran Engagement & Reintegration (A4836-C), both with the Minneapolis Veterans Affairs Health Care System.

Author and Disclosure Information

Allison M. Gustavson, PT, DPT, PhDa,b; Alicia B. Woodward-Abel, MPHa; Tammy L. Eaton, PhD, MSc, FNP-BCc,d; Troy Layouni, MPHe; Sena Soleimannejad, MPHf; Carla Amundson, MAa; Emily Hudson, PhDa; Megan Miller, PhDe,g; Collin Calvert, PhD, MPHa,b; Marianne Goodman, MDf,h,i; Timothy J. Wilt, MD, MPHa,b; Norbert Bräu, MD, MBAf,i; Kristina Crothers, MDe,g,j; R. Adams Dudley, MD, MBAa,b; Aaron P. Turner, PhDe,g

Author affiliations
aMinneapolis Veterans Affairs Health Care System, Minnesota
bUniversity of Minnesota, Minneapolis
cUniversity of Michigan, Ann Arbor
dVeterans Affairs Ann Arbor Healthcare System, Michigan
eVeterans Affairs Puget Sound Health Care System, Seattle, Washington
fJames J. Peters Veterans Affairs Medical Center, Bronx, New York
gUniversity of Washington, Seattle
hVeterans Integrated Service Network (VISN) 2 Mental Illness Research, Education, Clinical Center
iIcahn School of Medicine at Mount Sinai, New York
jSeattle-Denver Center of Innovation (COIN) for Veteran-Centered and Value-Driven Care

Correspondence: Allison Gustavson (allison.gustavson@va.gov)

Fed Pract. 2026;43(1). Published online January 15. doi:10.12788/fp.0669

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

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

Acknowledgments The authors thank all Long COVID Practice-Based Research Network partners who provided input on this manuscript.

Funding This work is supported by VA Health Systems Research (C19 23-087). Dr. Gustavson’s time is further supported by the Center for Care Delivery and Outcomes Research (CIN 13-406) and the Rehabilitation Research and Development Center for Rehabilitation & Engineering Center for Optimizing Veteran Engagement & Reintegration (A4836-C), both with the Minneapolis Veterans Affairs Health Care System.

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Learning health systems (LHS) promote a continuous process that can assist in making sense of uncertainty when confronting emerging complex conditions such as Long COVID. Long COVID is an infection-associated chronic condition that detrimentally impacts veterans, their families, and the communities in which they live. This complex condition is defined by ongoing, new, or returning symptoms following COVID-19 infection that negatively affect return to meaningful participation in social, recreational, and vocational activities.1,2 The clinical uncertainty surrounding Long COVID is amplified by unclear etiology, prognosis, and expected course of symptoms.3,4 Uncertainty surrounding best clinical practices, processes, and policies for Long COVID care has resulted in practice variation despite the emerging evidence base for Long COVID care.4 Failure to address gaps in clinical evidence and care implementation threatens to perpetuate fragmented and unnecessary care.

The context surrounding Long COVID created an urgency to rapidly address clinically relevant questions and make sense of any uncertainty. Thus, the Veterans Health Administration (VHA) funded a Long COVID Practice-Based Research Network (LC-PBRN) to build an infrastructure that supports Long COVID research nationally and promotes interdisciplinary collaboration. The LC-PBRN vision is to centralize Long COVID clinical, research, and operational activities. The research infrastructure of the LC-PBRN is designed with an LHS lens to facilitate feedback loops and integrate knowledge learned while making progress towards this vision.5 This article describes the phases of infrastructure development and network building, as well as associated lessons learned.

Designing the LC-PBRN Infrastructure

The LC-PBRN is a multisite operation with interdisciplinary representatives from 4 US Department of Veterans Affairs (VA) health care systems. Each site has ≥ 1 principal investigator (0.1-0.4 full-time equivalent [FTE]) and ≥ 1 project staff member (0.5-0.8 FTE). The lead site also employs data and statistical support staff (1.5 FTE). To build this infrastructure, VHA Health Services Research awarded $1 million in November 2023 to the 4 sites. The funding was distributed over 2 years. Additional funding will be required for sustainability. The components and key infrastructure elements of the LC-PBRN are outlined in the Table. The 2-year LC-PBRN implementation activities is outlined in the Appendix.

FDP04301015_T1

Vision

 

The LC-PBRN’s vision is to create an infrastructure that integrates an LHS framework by unifying the VA research approach to Long COVID to ensure veteran, clinician, operational, and researcher involvement (Figure 1). A critical aspect of this is a unifying definition of Long COVID, for which the LC-PBRN has adopted the National Academies of Science, Engineering, and Medicine (NASEM) definition: “Long COVID is an infection-associated chronic condition that occurs after SARS-CoV-2 infection and is present for at least 3 months as a continuous, relapsing and remitting, or progressive disease state that affects one or more organ systems.”6 This is a working definition to be refined over time, as necessary, based on new data. The LC-PBRN aligns with existing VA initiatives by serving as a centralized hub for internal and external networking. This approach ensures shareholder needs are identified, resources are allocated appropriately, and redundancy in efforts is avoided. In this spirit, the LC-PBRN maintains a long-term vision of collaborating with other systems to support national efforts to address Long COVID.

FDP04301015_F1

Mission and Governance

The LC-PBRN operates with an executive leadership team and 5 cores. The executive leadership team is responsible for overall LC-PBRN operations, management, and direction setting of the LC-PBRN. The executive leadership team meets weekly to provide oversight of each core, which specializes in different aspects. The cores include: Administrative, Partner Engagement and Needs Assessment, Patient Identification and Analysis, Clinical Coordination and Implementation, and Dissemination (Figure 2).

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The Administrative core focuses on interagency collaboration to identify and network with key operational and agency leaders to allow for ongoing exploration of funding strategies for Long COVID research. The Administrative core manages 3 teams: an advisory board, Long COVID council, and the strategic planning team. The advisory board meets biannually to oversee achievement of LC-PBRN goals, deliverables, and tactics for meeting these goals. The advisory board includes the LC-PBRN executive leadership team and 13 interagency members from various shareholders (eg, Centers for Disease Control and Prevention, National Institutes of Health, and specialty departments within the VA).

The Long COVID council convenes quarterly to provide scientific input on important overarching issues in Long COVID research, practice, and policy. The council consists of 22 scientific representatives in VA and non-VA contexts, university affiliates, and veteran representatives. The strategic planning team convenes annually to identify how the LC-PBRN and its partners can meet the needs of the broader Long COVID ecosystem and conduct a strengths, opportunities, weaknesses, and threats analysis to identify strategic objectives and expected outcomes. The strategic planning team includes the executive leadership team and key Long COVID shareholders within VHA and affiliated partners. The Partner Engagement and Needs Assessment core aims to solicit feedback from veterans, clinicians, researchers, and operational leadership. Input is gathered through a Veteran Engagement Panel and a modified Delphi consensus process. The panel was formed using a Community Engagement Studio model to engage veterans as consultants on research.7 Currently, 10 members represent a range of ages, genders, racial and ethnic backgrounds, and military experience. All veterans have a history of Long COVID and are paid as consultants. Video conference panel meetings occur quarterly for 1 to 2 hours; the meeting length is shorter than typical engagement studios to accommodate for fatigue-related symptoms that may limit attention and ability to participate in longer meetings. Before each panel, the Partner Engagement and Needs Assessment core helps identify key questions and creates a structured agenda. Each panel begins with a presentation of a research study followed by a group discussion led by a trained facilitator. The modified Delphi consensus process focuses on identifying research priority areas for Long COVID within the VA. Veterans living with Long COVID, as well as clinicians and researchers who work closely with patients who have Long COVID, complete a series of progressive surveys to provide input on research priorities.

The Partner Engagement and Needs Assessment core also actively provides outreach to important partners in research, clinical care, and operational leadership to facilitate introductory meetings to (1) ask partners to describe their 5 largest pain points, (2) find pain points within the scope of LC-PBRN resources, and (3) discuss the strengths and capacity of the PBRN. During introductory meetings, communications preferences and a cadence for subsequent meetings are established. Subsequent engagement meetings aim to provide updates and codevelop solutions to emerging issues. This core maintains a living document to track engagement efforts, points of contact for identified and emerging partners, and ensure all communication is timely.

The Patient Identification and Analysis core develops a database of veterans with confirmed or suspected Long COVID. The goal is for researchers to use the database to identify potential participants for clinical trials and monitor clinical care outcomes. When possible, this core works with existing VA data to facilitate research that aligns with the LC-PBRN mission. The core can also use natural language processing and machine learning to work with researchers conducting clinical trials to help identify patients who may meet eligibility criteria.

The Clinical Coordination and Implementation core gathers information on the best practices for identifying and recruiting veterans for Long COVID research as well as compiles strategies for standardized clinical assessments that can both facilitate ongoing research and the successful implementation of evidence-based care. The Clinical Coordination and Implementation core provides support to pilot and multisite trials in 3 ways. First, it develops toolkits such as best practice strategies for recruiting participants for research, template examples of recruitment materials, and a library of patient-reported outcome measures, standardized clinical note titles and templates in use for Long COVID in the national electronic health record. Second, it partners with the Patient Identification and Analysis core to facilitate access to and use of algorithms that identify Long COVID cases based on electronic health records for recruitment. Finally, it compiles a detailed list of potential collaborating sites. The steps to facilitate patient identification and recruitment inform feasibility assessments and improve efficiency of launching pilot studies and multisite trials. The library of outcome measures, standardized clinical notes, and templates can aid and expedite data collection.

The Dissemination core focuses on developing a website, creating a dissemination plan, and actively disseminating products of the LC-PBRN and its partners. This core’s foundational framework is based on the Agency for Healthcare Research and Quality Quick-Start Guide to Dissemination for PBRNs.8,9 The core built an internal- and external-facing website to connect users with LC-PBRN products, potential outreach contacts, and promote timely updates on LC-PBRN activities. A manual of operating procedures will be drafted to include the development of training for practitioners involved in research projects to learn the processes involved in presenting clinical results for education and training initiatives, presentations, and manuscript preparation. A toolkit will also be developed to support dissemination activities designed to reach a variety of end-users, such as education materials, policy briefings, educational briefs, newsletters, and presentations at local, regional, and national levels.

Key Partners

Key partners exist specific to the LC-PBRN and within the broader VA ecosystem, including VA clinical operations, VA research, and intra-agency collaborations.

LC-PBRN Specific. In addition to the LC-PBRN council, advisory board, and Veteran Engagement Panel discussed earlier, the LC-PBRN has 8 VA Long COVID clinical sites that have joined the network. As part of the network, these sites gain greater insight into the Long COVID ecosystem within the VA through priority access to the Long COVID Veteran Engagement Panel and recognition as members of the network. The LC-PBRN also meets monthly with pilot projects conducted at other VA facilities to learn more about how Long COVID research is being implemented and identify how the LC-PBRN can assist in troubleshooting barriers.

VA Clinical Operations. To support clinical operations, a Long COVID Field Advisory Board was formed through the VA Office of Specialty Care as an operational effort to develop clinical best practice. The LC-PBRN consults with this group on veteran engagement strategies for input on clinical guides and dissemination of practice guide materials. The LC-PBRN also partners with an existing Long COVID Community of Practice and the Office of Primary Care. The Community of Practice provides a learning space for VA staff interested in advancing Long COVID care and assists with disseminating LC-PBRN to the broader Long COVID clinical community. A member of the Office of Primary Care sits on the PBRN advisory board to provide input on engaging primary care practitioners and ensure their unique needs are considered in LC-PBRN initiatives.

VA Research & Interagency Collaborations. The LC-PBRN engages monthly with an interagency workgroup led by the US Department of Health and Human Services Office of Long COVID Research and Practice. These engagements support identification of research gaps that the VA may help address, monitor emerging funding opportunities, and foster collaborations. LC-PBRN representatives also meet with staff at the National Institutes of Health Researching COVID to Enhance Recovery initiative to identify pathways for veteran recruitment.

LHS Feedback Loops

The LC-PBRN was designed with an LHS approach in mind.10 Throughout development of the LC-PBRN, consideration was given to (1) capture data on new efforts within the Long COVID ecosystem (performance to data), (2) examine performance gaps and identify approaches for best practice (data to knowledge), and (3) implement best practices, develop toolkits, disseminate findings, and measure impacts (knowledge to performance). With this approach, the LC-PBRN is constantly evolving based on new information coming from the internal and external Long COVID ecosystem. Each element was deliberatively considered in relation to how data can be transformed into knowledge, knowledge into performance, and performance into data.

First, an important mechanism for feedback involves establishing clear channels of communication. Regular check-ins with key partners occur through virtual meetings to provide updates, assess needs and challenges, and codevelop action plans. For example, during a check-in with the Long COVID Field Advisory Board, members expressed a desire to incorporate veteran feedback into VA clinical practice recommendations. We provided expertise on different engagement modalities (eg, focus groups vs individual interviews), and collaboration occurred to identify key interview questions for veterans. This process resulted in a published clinician-facing Long COVID Nervous System Clinical Guide (available at longcovid@hhs.gov) that integrated critical feedback from veterans related to neurological symptoms.

Second, weekly executive leadership meetings include dedicated time for reflection on partner feedback, the current state of Long COVID, and contextual changes that impact deliverable priorities and timelines. Outcomes from these discussions are communicated with VHA Health Services Research and, when appropriate, to key partners to ensure alignment. For example, the Patient Identification and Analysis core was originally tasked with identifying a definition of Long COVID. However, as the broader community moved away from a singular definition, efforts were redirected toward higher-priority issues within the VA Long COVID ecosystem, including veteran enrollment in clinical trials.

Third, the Veteran Engagement Panel captures feedback from those with lived experience to inform Long COVID research and clinical efforts. The panel meetings are strategically designed to ask veterans living with Long COVID specific questions related to a given research or clinical topic of interest. For example, panel sessions with the Field Advisory Board focused on concerns articulated by veterans related to the mental health and gastroenterological symptoms associated with Long COVID. Insights from these discussions will inform development of Long COVID mental health and gastroenterological clinical care guides, with several PBRN investigators serving as subject matter experts. This collaborative approach ensures that veteran perspectives are represented in developing Long COVID clinical care processes.

Fourth, research priorities identified through the Delphi consensus process will inform development of VA Request for Funding Proposals related to Long COVID. The initial survey was developed in collaboration with veterans, clinicians, and researchers across the Veteran Engagement Panel, the Field Advisory Board, and the National Research Action Plan on Long COVID.11 The process was launched in October 2024 and concluded in June 2025. The team conducted 3 consensus rounds with veterans and VA clinicians and researchers. Top priority areas included the testing assessments for diagnosing Long COVID, studying subtypes of Long COVID and treatments for each, and finding biomarkers for Long COVID. A formal publication of the results and analysis is the focus of a future publication.

Fifth, ongoing engagement with the Field Advisory Board has supported adoption of a preliminary set of clinical outcome measures. If universally adopted, these instruments may contribute to the development of a standardized data collection process and serve as common data elements collected for epidemiologic, health services, or clinical trial research.

Lessons Learned and Practice Implications

Throughout the development of the LC-PBRN, several decisions were identified that have impacted infrastructure development and implementation.

Include veterans’ voices to ensure network efforts align with patient needs. Given the novelty of Long COVID, practitioners and researchers are learning as they go. It is important to listen to individuals who live with Long COVID. Throughout the development of the LC-PBRN, veteran perspective has proven how vital it is for them to be heard when it comes to their health care. Clinicians similarly highlighted the value of incorporating patient perspectives into the development of tools and treatment strategies. Develop an interdisciplinary leadership team to foster the diverse viewpoints needed to tackle multifaceted problems. It is important to consider as many clinical and research perspectives as possible because Long COVID is a complex condition with symptoms impacting major organ systems.12-15 Therefore, the team spans across a multitude of specialties and locations.

Set clear expectations and goals with partners to uphold timely deliverables and stay within the PBRN’s capacity. When including a multitude of partners, teams should consider each of those partners’ experiences and opinions in decision-making conversations. Expectation setting is important to ensure all partners are on the same page and understand the capacity of the LC-PBRN. This allows the team to focus its efforts, avoid being overwhelmed with requests, and provide quality deliverables.

Build engaging relationships to bridge gaps between internal and external partners. A substantial number of resources focus on building relationships with partners so they can trust the LC-PBRN has their best interests in mind. These relationships are important to ensure the VA avoids duplicate efforts. This includes prioritizing connecting partners who are working on similar efforts to promote collaboration across facilities.

Clinical practice implications. The LC-PBRN is working towards clinical practice initiatives derived from this process in partnership with the Long COVID Community of Practice and the participating clinical sites. This may include efforts to increase the uptake of standardized instruments endorsed by clinical partners that facilitate assessment of outcomes. PBRN partners can then use outcomes data to ask and answer clinically relevant research questions and assess care quality to inform the learning process that is integral to an LHS. Future dissemination efforts will be centered around individual initiatives and deliverables from the LC-PBRN.

Conclusions

PBRNs provide an important mechanism to use LHS approaches to successfully convene research around complex issues. PBRNs can support integration across the LHS cycle, allowing for multiple feedback loops, and coordinate activities that work to achieve a larger vision. PBRNs offer centralized mechanisms to collaboratively understand and address complex problems, such as Long COVID, where the uncertainty regarding how to treat occurs in tandem with the urgency to treat. The LC-PBRN model described in this article has the potential to transcend Long COVID by building infrastructure necessary to proactively address current or future clinical conditions or populations with a LHS lens. The infrastructure can require cross-system and sector collaborations, expediency, inclusivity, and patient- and family-centeredness. Future efforts will focus on building out a larger network of VHA sites, facilitating recruitment at site and veteran levels into Long COVID trials through case identification, and systematically support the standardization of clinical data for clinical utility and evaluation of quality and/or outcomes across the VHA.

FDP04301015_A1

Learning health systems (LHS) promote a continuous process that can assist in making sense of uncertainty when confronting emerging complex conditions such as Long COVID. Long COVID is an infection-associated chronic condition that detrimentally impacts veterans, their families, and the communities in which they live. This complex condition is defined by ongoing, new, or returning symptoms following COVID-19 infection that negatively affect return to meaningful participation in social, recreational, and vocational activities.1,2 The clinical uncertainty surrounding Long COVID is amplified by unclear etiology, prognosis, and expected course of symptoms.3,4 Uncertainty surrounding best clinical practices, processes, and policies for Long COVID care has resulted in practice variation despite the emerging evidence base for Long COVID care.4 Failure to address gaps in clinical evidence and care implementation threatens to perpetuate fragmented and unnecessary care.

The context surrounding Long COVID created an urgency to rapidly address clinically relevant questions and make sense of any uncertainty. Thus, the Veterans Health Administration (VHA) funded a Long COVID Practice-Based Research Network (LC-PBRN) to build an infrastructure that supports Long COVID research nationally and promotes interdisciplinary collaboration. The LC-PBRN vision is to centralize Long COVID clinical, research, and operational activities. The research infrastructure of the LC-PBRN is designed with an LHS lens to facilitate feedback loops and integrate knowledge learned while making progress towards this vision.5 This article describes the phases of infrastructure development and network building, as well as associated lessons learned.

Designing the LC-PBRN Infrastructure

The LC-PBRN is a multisite operation with interdisciplinary representatives from 4 US Department of Veterans Affairs (VA) health care systems. Each site has ≥ 1 principal investigator (0.1-0.4 full-time equivalent [FTE]) and ≥ 1 project staff member (0.5-0.8 FTE). The lead site also employs data and statistical support staff (1.5 FTE). To build this infrastructure, VHA Health Services Research awarded $1 million in November 2023 to the 4 sites. The funding was distributed over 2 years. Additional funding will be required for sustainability. The components and key infrastructure elements of the LC-PBRN are outlined in the Table. The 2-year LC-PBRN implementation activities is outlined in the Appendix.

FDP04301015_T1

Vision

 

The LC-PBRN’s vision is to create an infrastructure that integrates an LHS framework by unifying the VA research approach to Long COVID to ensure veteran, clinician, operational, and researcher involvement (Figure 1). A critical aspect of this is a unifying definition of Long COVID, for which the LC-PBRN has adopted the National Academies of Science, Engineering, and Medicine (NASEM) definition: “Long COVID is an infection-associated chronic condition that occurs after SARS-CoV-2 infection and is present for at least 3 months as a continuous, relapsing and remitting, or progressive disease state that affects one or more organ systems.”6 This is a working definition to be refined over time, as necessary, based on new data. The LC-PBRN aligns with existing VA initiatives by serving as a centralized hub for internal and external networking. This approach ensures shareholder needs are identified, resources are allocated appropriately, and redundancy in efforts is avoided. In this spirit, the LC-PBRN maintains a long-term vision of collaborating with other systems to support national efforts to address Long COVID.

FDP04301015_F1

Mission and Governance

The LC-PBRN operates with an executive leadership team and 5 cores. The executive leadership team is responsible for overall LC-PBRN operations, management, and direction setting of the LC-PBRN. The executive leadership team meets weekly to provide oversight of each core, which specializes in different aspects. The cores include: Administrative, Partner Engagement and Needs Assessment, Patient Identification and Analysis, Clinical Coordination and Implementation, and Dissemination (Figure 2).

FDP04301015_F2

The Administrative core focuses on interagency collaboration to identify and network with key operational and agency leaders to allow for ongoing exploration of funding strategies for Long COVID research. The Administrative core manages 3 teams: an advisory board, Long COVID council, and the strategic planning team. The advisory board meets biannually to oversee achievement of LC-PBRN goals, deliverables, and tactics for meeting these goals. The advisory board includes the LC-PBRN executive leadership team and 13 interagency members from various shareholders (eg, Centers for Disease Control and Prevention, National Institutes of Health, and specialty departments within the VA).

The Long COVID council convenes quarterly to provide scientific input on important overarching issues in Long COVID research, practice, and policy. The council consists of 22 scientific representatives in VA and non-VA contexts, university affiliates, and veteran representatives. The strategic planning team convenes annually to identify how the LC-PBRN and its partners can meet the needs of the broader Long COVID ecosystem and conduct a strengths, opportunities, weaknesses, and threats analysis to identify strategic objectives and expected outcomes. The strategic planning team includes the executive leadership team and key Long COVID shareholders within VHA and affiliated partners. The Partner Engagement and Needs Assessment core aims to solicit feedback from veterans, clinicians, researchers, and operational leadership. Input is gathered through a Veteran Engagement Panel and a modified Delphi consensus process. The panel was formed using a Community Engagement Studio model to engage veterans as consultants on research.7 Currently, 10 members represent a range of ages, genders, racial and ethnic backgrounds, and military experience. All veterans have a history of Long COVID and are paid as consultants. Video conference panel meetings occur quarterly for 1 to 2 hours; the meeting length is shorter than typical engagement studios to accommodate for fatigue-related symptoms that may limit attention and ability to participate in longer meetings. Before each panel, the Partner Engagement and Needs Assessment core helps identify key questions and creates a structured agenda. Each panel begins with a presentation of a research study followed by a group discussion led by a trained facilitator. The modified Delphi consensus process focuses on identifying research priority areas for Long COVID within the VA. Veterans living with Long COVID, as well as clinicians and researchers who work closely with patients who have Long COVID, complete a series of progressive surveys to provide input on research priorities.

The Partner Engagement and Needs Assessment core also actively provides outreach to important partners in research, clinical care, and operational leadership to facilitate introductory meetings to (1) ask partners to describe their 5 largest pain points, (2) find pain points within the scope of LC-PBRN resources, and (3) discuss the strengths and capacity of the PBRN. During introductory meetings, communications preferences and a cadence for subsequent meetings are established. Subsequent engagement meetings aim to provide updates and codevelop solutions to emerging issues. This core maintains a living document to track engagement efforts, points of contact for identified and emerging partners, and ensure all communication is timely.

The Patient Identification and Analysis core develops a database of veterans with confirmed or suspected Long COVID. The goal is for researchers to use the database to identify potential participants for clinical trials and monitor clinical care outcomes. When possible, this core works with existing VA data to facilitate research that aligns with the LC-PBRN mission. The core can also use natural language processing and machine learning to work with researchers conducting clinical trials to help identify patients who may meet eligibility criteria.

The Clinical Coordination and Implementation core gathers information on the best practices for identifying and recruiting veterans for Long COVID research as well as compiles strategies for standardized clinical assessments that can both facilitate ongoing research and the successful implementation of evidence-based care. The Clinical Coordination and Implementation core provides support to pilot and multisite trials in 3 ways. First, it develops toolkits such as best practice strategies for recruiting participants for research, template examples of recruitment materials, and a library of patient-reported outcome measures, standardized clinical note titles and templates in use for Long COVID in the national electronic health record. Second, it partners with the Patient Identification and Analysis core to facilitate access to and use of algorithms that identify Long COVID cases based on electronic health records for recruitment. Finally, it compiles a detailed list of potential collaborating sites. The steps to facilitate patient identification and recruitment inform feasibility assessments and improve efficiency of launching pilot studies and multisite trials. The library of outcome measures, standardized clinical notes, and templates can aid and expedite data collection.

The Dissemination core focuses on developing a website, creating a dissemination plan, and actively disseminating products of the LC-PBRN and its partners. This core’s foundational framework is based on the Agency for Healthcare Research and Quality Quick-Start Guide to Dissemination for PBRNs.8,9 The core built an internal- and external-facing website to connect users with LC-PBRN products, potential outreach contacts, and promote timely updates on LC-PBRN activities. A manual of operating procedures will be drafted to include the development of training for practitioners involved in research projects to learn the processes involved in presenting clinical results for education and training initiatives, presentations, and manuscript preparation. A toolkit will also be developed to support dissemination activities designed to reach a variety of end-users, such as education materials, policy briefings, educational briefs, newsletters, and presentations at local, regional, and national levels.

Key Partners

Key partners exist specific to the LC-PBRN and within the broader VA ecosystem, including VA clinical operations, VA research, and intra-agency collaborations.

LC-PBRN Specific. In addition to the LC-PBRN council, advisory board, and Veteran Engagement Panel discussed earlier, the LC-PBRN has 8 VA Long COVID clinical sites that have joined the network. As part of the network, these sites gain greater insight into the Long COVID ecosystem within the VA through priority access to the Long COVID Veteran Engagement Panel and recognition as members of the network. The LC-PBRN also meets monthly with pilot projects conducted at other VA facilities to learn more about how Long COVID research is being implemented and identify how the LC-PBRN can assist in troubleshooting barriers.

VA Clinical Operations. To support clinical operations, a Long COVID Field Advisory Board was formed through the VA Office of Specialty Care as an operational effort to develop clinical best practice. The LC-PBRN consults with this group on veteran engagement strategies for input on clinical guides and dissemination of practice guide materials. The LC-PBRN also partners with an existing Long COVID Community of Practice and the Office of Primary Care. The Community of Practice provides a learning space for VA staff interested in advancing Long COVID care and assists with disseminating LC-PBRN to the broader Long COVID clinical community. A member of the Office of Primary Care sits on the PBRN advisory board to provide input on engaging primary care practitioners and ensure their unique needs are considered in LC-PBRN initiatives.

VA Research & Interagency Collaborations. The LC-PBRN engages monthly with an interagency workgroup led by the US Department of Health and Human Services Office of Long COVID Research and Practice. These engagements support identification of research gaps that the VA may help address, monitor emerging funding opportunities, and foster collaborations. LC-PBRN representatives also meet with staff at the National Institutes of Health Researching COVID to Enhance Recovery initiative to identify pathways for veteran recruitment.

LHS Feedback Loops

The LC-PBRN was designed with an LHS approach in mind.10 Throughout development of the LC-PBRN, consideration was given to (1) capture data on new efforts within the Long COVID ecosystem (performance to data), (2) examine performance gaps and identify approaches for best practice (data to knowledge), and (3) implement best practices, develop toolkits, disseminate findings, and measure impacts (knowledge to performance). With this approach, the LC-PBRN is constantly evolving based on new information coming from the internal and external Long COVID ecosystem. Each element was deliberatively considered in relation to how data can be transformed into knowledge, knowledge into performance, and performance into data.

First, an important mechanism for feedback involves establishing clear channels of communication. Regular check-ins with key partners occur through virtual meetings to provide updates, assess needs and challenges, and codevelop action plans. For example, during a check-in with the Long COVID Field Advisory Board, members expressed a desire to incorporate veteran feedback into VA clinical practice recommendations. We provided expertise on different engagement modalities (eg, focus groups vs individual interviews), and collaboration occurred to identify key interview questions for veterans. This process resulted in a published clinician-facing Long COVID Nervous System Clinical Guide (available at longcovid@hhs.gov) that integrated critical feedback from veterans related to neurological symptoms.

Second, weekly executive leadership meetings include dedicated time for reflection on partner feedback, the current state of Long COVID, and contextual changes that impact deliverable priorities and timelines. Outcomes from these discussions are communicated with VHA Health Services Research and, when appropriate, to key partners to ensure alignment. For example, the Patient Identification and Analysis core was originally tasked with identifying a definition of Long COVID. However, as the broader community moved away from a singular definition, efforts were redirected toward higher-priority issues within the VA Long COVID ecosystem, including veteran enrollment in clinical trials.

Third, the Veteran Engagement Panel captures feedback from those with lived experience to inform Long COVID research and clinical efforts. The panel meetings are strategically designed to ask veterans living with Long COVID specific questions related to a given research or clinical topic of interest. For example, panel sessions with the Field Advisory Board focused on concerns articulated by veterans related to the mental health and gastroenterological symptoms associated with Long COVID. Insights from these discussions will inform development of Long COVID mental health and gastroenterological clinical care guides, with several PBRN investigators serving as subject matter experts. This collaborative approach ensures that veteran perspectives are represented in developing Long COVID clinical care processes.

Fourth, research priorities identified through the Delphi consensus process will inform development of VA Request for Funding Proposals related to Long COVID. The initial survey was developed in collaboration with veterans, clinicians, and researchers across the Veteran Engagement Panel, the Field Advisory Board, and the National Research Action Plan on Long COVID.11 The process was launched in October 2024 and concluded in June 2025. The team conducted 3 consensus rounds with veterans and VA clinicians and researchers. Top priority areas included the testing assessments for diagnosing Long COVID, studying subtypes of Long COVID and treatments for each, and finding biomarkers for Long COVID. A formal publication of the results and analysis is the focus of a future publication.

Fifth, ongoing engagement with the Field Advisory Board has supported adoption of a preliminary set of clinical outcome measures. If universally adopted, these instruments may contribute to the development of a standardized data collection process and serve as common data elements collected for epidemiologic, health services, or clinical trial research.

Lessons Learned and Practice Implications

Throughout the development of the LC-PBRN, several decisions were identified that have impacted infrastructure development and implementation.

Include veterans’ voices to ensure network efforts align with patient needs. Given the novelty of Long COVID, practitioners and researchers are learning as they go. It is important to listen to individuals who live with Long COVID. Throughout the development of the LC-PBRN, veteran perspective has proven how vital it is for them to be heard when it comes to their health care. Clinicians similarly highlighted the value of incorporating patient perspectives into the development of tools and treatment strategies. Develop an interdisciplinary leadership team to foster the diverse viewpoints needed to tackle multifaceted problems. It is important to consider as many clinical and research perspectives as possible because Long COVID is a complex condition with symptoms impacting major organ systems.12-15 Therefore, the team spans across a multitude of specialties and locations.

Set clear expectations and goals with partners to uphold timely deliverables and stay within the PBRN’s capacity. When including a multitude of partners, teams should consider each of those partners’ experiences and opinions in decision-making conversations. Expectation setting is important to ensure all partners are on the same page and understand the capacity of the LC-PBRN. This allows the team to focus its efforts, avoid being overwhelmed with requests, and provide quality deliverables.

Build engaging relationships to bridge gaps between internal and external partners. A substantial number of resources focus on building relationships with partners so they can trust the LC-PBRN has their best interests in mind. These relationships are important to ensure the VA avoids duplicate efforts. This includes prioritizing connecting partners who are working on similar efforts to promote collaboration across facilities.

Clinical practice implications. The LC-PBRN is working towards clinical practice initiatives derived from this process in partnership with the Long COVID Community of Practice and the participating clinical sites. This may include efforts to increase the uptake of standardized instruments endorsed by clinical partners that facilitate assessment of outcomes. PBRN partners can then use outcomes data to ask and answer clinically relevant research questions and assess care quality to inform the learning process that is integral to an LHS. Future dissemination efforts will be centered around individual initiatives and deliverables from the LC-PBRN.

Conclusions

PBRNs provide an important mechanism to use LHS approaches to successfully convene research around complex issues. PBRNs can support integration across the LHS cycle, allowing for multiple feedback loops, and coordinate activities that work to achieve a larger vision. PBRNs offer centralized mechanisms to collaboratively understand and address complex problems, such as Long COVID, where the uncertainty regarding how to treat occurs in tandem with the urgency to treat. The LC-PBRN model described in this article has the potential to transcend Long COVID by building infrastructure necessary to proactively address current or future clinical conditions or populations with a LHS lens. The infrastructure can require cross-system and sector collaborations, expediency, inclusivity, and patient- and family-centeredness. Future efforts will focus on building out a larger network of VHA sites, facilitating recruitment at site and veteran levels into Long COVID trials through case identification, and systematically support the standardization of clinical data for clinical utility and evaluation of quality and/or outcomes across the VHA.

FDP04301015_A1

References
  1. Ottiger M, Poppele I, Sperling N, et al. Work ability and return-to-work of patients with post-COVID-19: a systematic review and meta-analysis. BMC Public Health. 2024;24:1811. doi:10.1186/s12889-024-19328-6
  2. Ziauddeen N, Gurdasani D, O’Hara ME, et al. Characteristics and impact of Long Covid: findings from an online survey. PLOS ONE. 2022;17:e0264331. doi:10.1371/journal.pone.0264331
  3. Graham F. Daily briefing: Answers emerge about long COVID recovery. Nature. Published online June 28, 2023. doi:10.1038/d41586-023-02190-8
  4. Al-Aly Z, Davis H, McCorkell L, et al. Long COVID science, research and policy. Nat Med. 2024;30:2148-2164. doi:10.1038/s41591-024-03173-6
  5. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255
  6. Ely EW, Brown LM, Fineberg HV. Long covid defined. N Engl J Med. 2024;391:1746-1753.doi:10.1056/NEJMsb2408466
  7. Joosten YA, Israel TL, Williams NA, et al. Community engagement studios: a structured approach to obtaining meaningful input from stakeholders to inform research. Acad Med. 2015;90:1646-1650. doi:10.1097/ACM.0000000000000794
  8. AHRQ. Quick-start guide to dissemination for practice-based research networks. Revised June 2014. Accessed December 2, 2025. https://www.ahrq.gov/sites/default/files/wysiwyg/ncepcr/resources/dissemination-quick-start-guide.pdf
  9. Gustavson AM, Morrow CD, Brown RJ, et al. Reimagining how we synthesize information to impact clinical care, policy, and research priorities in real time: examples and lessons learned from COVID-19. J Gen Intern Med. 2024;39:2554-2559. doi:10.1007/s11606-024-08855-y
  10. University of Minnesota. About the Center for Learning Health System Sciences. Updated December 11, 2025. Accessed December 12, 2025. https://med.umn.edu/clhss/about-us
  11. AHRQ. National Research Action Plan. Published online 2022. Accessed February 14, 2024. https://www.covid.gov/sites/default/files/documents/National-Research-Action-Plan-on-Long-COVID-08012022.pdf
  12. Gustavson AM, Eaton TL, Schapira RM, et al. Approaches to long COVID care: the Veterans Health Administration experience in 2021. BMJ Mil Health. 2024;170:179-180. doi:10.1136/military-2022-002185
  13. Gustavson AM. A learning health system approach to long COVID care. Fed Pract. 2022;39:7. doi:10.12788/fp.0288
  14. Palacio A, Bast E, Klimas N, et al. Lessons learned in implementing a multidisciplinary long COVID clinic. Am J Med. 2025;138:843-849.doi:10.1016/j.amjmed.2024.05.020
  15. Prusinski C, Yan D, Klasova J, et al. Multidisciplinary management strategies for long COVID: a narrative review. Cureus. 2024;16:e59478. doi:10.7759/cureus.59478
References
  1. Ottiger M, Poppele I, Sperling N, et al. Work ability and return-to-work of patients with post-COVID-19: a systematic review and meta-analysis. BMC Public Health. 2024;24:1811. doi:10.1186/s12889-024-19328-6
  2. Ziauddeen N, Gurdasani D, O’Hara ME, et al. Characteristics and impact of Long Covid: findings from an online survey. PLOS ONE. 2022;17:e0264331. doi:10.1371/journal.pone.0264331
  3. Graham F. Daily briefing: Answers emerge about long COVID recovery. Nature. Published online June 28, 2023. doi:10.1038/d41586-023-02190-8
  4. Al-Aly Z, Davis H, McCorkell L, et al. Long COVID science, research and policy. Nat Med. 2024;30:2148-2164. doi:10.1038/s41591-024-03173-6
  5. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255
  6. Ely EW, Brown LM, Fineberg HV. Long covid defined. N Engl J Med. 2024;391:1746-1753.doi:10.1056/NEJMsb2408466
  7. Joosten YA, Israel TL, Williams NA, et al. Community engagement studios: a structured approach to obtaining meaningful input from stakeholders to inform research. Acad Med. 2015;90:1646-1650. doi:10.1097/ACM.0000000000000794
  8. AHRQ. Quick-start guide to dissemination for practice-based research networks. Revised June 2014. Accessed December 2, 2025. https://www.ahrq.gov/sites/default/files/wysiwyg/ncepcr/resources/dissemination-quick-start-guide.pdf
  9. Gustavson AM, Morrow CD, Brown RJ, et al. Reimagining how we synthesize information to impact clinical care, policy, and research priorities in real time: examples and lessons learned from COVID-19. J Gen Intern Med. 2024;39:2554-2559. doi:10.1007/s11606-024-08855-y
  10. University of Minnesota. About the Center for Learning Health System Sciences. Updated December 11, 2025. Accessed December 12, 2025. https://med.umn.edu/clhss/about-us
  11. AHRQ. National Research Action Plan. Published online 2022. Accessed February 14, 2024. https://www.covid.gov/sites/default/files/documents/National-Research-Action-Plan-on-Long-COVID-08012022.pdf
  12. Gustavson AM, Eaton TL, Schapira RM, et al. Approaches to long COVID care: the Veterans Health Administration experience in 2021. BMJ Mil Health. 2024;170:179-180. doi:10.1136/military-2022-002185
  13. Gustavson AM. A learning health system approach to long COVID care. Fed Pract. 2022;39:7. doi:10.12788/fp.0288
  14. Palacio A, Bast E, Klimas N, et al. Lessons learned in implementing a multidisciplinary long COVID clinic. Am J Med. 2025;138:843-849.doi:10.1016/j.amjmed.2024.05.020
  15. Prusinski C, Yan D, Klasova J, et al. Multidisciplinary management strategies for long COVID: a narrative review. Cureus. 2024;16:e59478. doi:10.7759/cureus.59478
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Patient Knowledge and Attitudes About Fecal Microbiota Therapy for Clostridium difficile Infection

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Patient Knowledge and Attitudes About Fecal Microbiota Therapy for Clostridium difficile Infection
In a survey of patients with Clostridium difficile infection, physician recommendation seemed to be the largest factor affecting the likelihood of patients considering future fecal microbial therapy.

Clostridium difficile (C difficile) infection (CDI) is a leading cause of infectious diarrhea among hospitalized patients and, increasingly, in ambulatory patients.1,2 The high prevalence of CDI and the high recurrence rates (15%-30%) led the CDC to categorize C difficile as an "urgent" threat (the highest category) in its 2013 Antimicrobial Resistance Threat Report.3-5 The Infectious Diseases Society of America guideline recommended treatment for CDI is vancomycin or metronidazole; more recent studies also support fidaxomicin use.4,6,7  

Patients experiencing recurrent CDI are at risk for further recurrences, such that after the third CDI episode, the risk of subsequent recurrences exceeds 50%.8 This recurrence rate has stimulated research into other treatments, including fecal microbiota transplantation (FMT). A recent systematic  review of FMT reports that 85% of patients have resolution of symptoms without recurrence after FMT, although this is based on data from case series and 2 small randomized clinical trials.9

A commonly cited barrier to FMT is patient acceptance. In response to this concern, a previous survey demonstrated that 81% of respondents would opt for FMT to treat a hypothetical case of recurrent CDI.10 However, the surveyed population did not have CDI, and the 48% response rate is concerning, since those with a favorable opinion of FMT might be more willing to complete a survey than would other patients. Accordingly, the authors systematically surveyed hospitalized veterans with active CDI to assess their knowledge, attitudes, and opinions about FMT as a treatment for CDI.

Methods

In-person patient interviews were conducted by one of the study authors at the Minneapolis VA Health Care System (MVAHCS), consisting of 13 to 18 questions. Questions addressed any prior CDI episodes and knowledge of the following: CDI, recurrence risk, and FMT; preferred route and location of FMT administration; concerns regarding FMT; likelihood of agreeing to undergo FMT (if available); and likelihood of enrollment in a hypothetical study comparing FMT to standard antibiotic treatment. The survey was developed internally and was not validated. Questions used the Likert-scale (Survey).

Patients with CDI were identified by monitoring for positive C difficile polymerase chain reaction (PCR) stool tests and then screened for inclusion by medical record review. Inclusion criteria were (1) MVAHCS hospitalization; and (2) written informed consent. Exclusion criteria were the inability to communicate or participate in an interview. Patient responses regarding their likelihood of agreeing to FMT for CDI treatment under different circumstances were compared using Wilcoxon rank sum test. These circumstances included FMT for their current episode of CDI, FMT for a subsequent episode, and FMT if recommended by their physician. Possible concerns regarding FMT also were solicited, including infection risk, effectiveness, and procedural aesthetics. The MVAHCS institutional review board approved the study.

Results

Stool PCR tests for CDI were monitored for 158 days from 2013 to 2014 (based on availability of study staff), yielding 106 positive results. Of those, 31 (29%) were from outpatients and not addressed further. Of the 75 positive CDI tests from 66 hospitalized patients (9 patients had duplicate tests), 18 of 66 (27%) were not able to provide consent and were excluded, leaving 48 eligible patients. Six (13%) were missed for logistic reasons (patient at a test or procedure, discharged before approached, etc), leaving 42 patients who were approached for participation. Among these, 34 (81%) consented to participate in the survey. Two subjects (6%) found the topic so unappealing that they terminated the interview.

The majority of enrolled subjects were men (32/34, 94%), with a mean age of 65.3 years (range, 31-89). Eleven subjects (32%) reported a prior CDI episode, with 10 reporting 1 such episode, and the other 2 episodes. Those with prior CDI reported the effect of CDI on their overall quality of life as 5.1 (1 = no limitation, 10 = severe limitation). Respondents were fairly accurate regarding the risk of recurrence after an initial episode of CDI, with the average expectedrecurrence rate estimated at 33%. In contrast, their estimation of the risk of recurrence after a second CDI episode was lower (28%), although the risk of recurrent episodes increases with each CDI recurrence.

Regarding FMT, 5 subjects indicated awareness of the procedure: 2 learning of it from a news source, 1 from family, 1 from a health care provider, and 1 was unsure of the source. After subjects received a description of FMT, their opinions regarding the procedure were elicited. When asked which route of delivery they would prefer if they were to undergo FMT, the 33 subjects who provided a response indicated a strong preference for either enema (15, 45%) or colonoscopy (10, 30%), compared with just 4 (12%) indicating no preference, 2 (6%) choosing nasogastric tube administration, and 2 (6%) indicating that they would not undergo FMT by any route (P < .001).

Regarding the location of FMT administration (hospital setting vs self-administered at home), 31 of 33 respondents (94%) indicated they would prefer FMT to occur in the hospital vs 2 (6%) preferring self-administration at home (P < .001). The preferred source of donor stool was more evenly distributed, with 14 of 32 respondents (44%) indicating a preference for an anonymous donor, 11 preferring a family member (34%), and 7 (21%) with no preference (P = .21).

 

 

Subjects were asked about concerns regarding FMT, and asked to rate each on a 5-point Likert scale (1 = not at all concerning; 5 = overwhelming concern). Concerns regarding risk of infection and effectiveness received an average score of 2.74 and 2.72, respectively, whereas concern regarding the aesthetics, or "yuck factor" was slightly lower (2.1: P = NS for all comparisons). Subjects also were asked to rate the likelihood of undergoing FMT, if it were available, for their current episode of CDI, a subsequent episode of CDI, or if their physician recommended undergoing FMT (10 point scale: 1 = not at all likely; 10 = certainly agree to FMT). The mean scores (SD) for agreeing to FMT for the current or a subsequent episode were 4.8 (SD 2.7) and 5.6 (SD 3.0); P = .12, but increased to 7.1 (SD 3.23) if FMT were recommended by their physician (P < .001 for FMT if physician recommended vs FMT for current episode; P = .001 for FMT if physician recommended vs FMT for a subsequent episode). Finally, subjects were asked about the likelihood of enrolling in a study comparing FMT to standard antimicrobial treatment, with answers ranging from 1 (almost certainly would not enroll) to 5 (almost certainly would enroll). Among the 32 respondents to this question, 17 (53%) answered either "probably would enroll" or "almost certainly would enroll," with a mean score of 3.2.  

Discussion

Overall, VA patients with a current episode of CDI were not aware of FMT, with just 15% knowing about the procedure. However, after learning about FMT, patients expressed clear opinions regarding the route and setting of FMT administration, with enema or colonoscopy being the preferred routes, and a hospital the preferred setting. In contrast, subjects expressed ambivalence with regard to the source of donor stool, with no clear preference for stool from an anonymous donor vs from a family member.

When asked about concerns regarding FMT, none of the presented options (risk of infection, uncertain effectiveness, or procedural aesthetics) emerged as significantly more important than did others, although the oft-cited concern regarding FMT aesthetics engendered the lowest overall level of concern. In terms of FMT acceptance, 4 subjects (12%) were opposed to the procedure, indicating that they were not at all likely to agree to FMT for all scenarios (defined as a score of 1 or 2 on the 10-point Likert scale) or by terminating the survey because of the questions. However, 15 (44%) indicated that they would certainly agree to FMT (defined as a score of 9 or 10 on the 10-point Likert scale) if their physician recommended it. Physician recommendation for FMT resulted in the highest overall likelihood of agreeing to FMT, a finding in agreement with a previous survey of FMT for CDI.10 Most subjects indicated likely enrollment in a potential study comparing FMT with standard antimicrobial therapy.

 

Strengths/Limitations

Study strengths included surveying patients with current CDI, such that patients had personal experience with the disease in question. Use of in-person interviews also resulted in a robust response rate of 81% and allowed subjects to clarify any unclear questions with study personnel. Weaknesses included a relatively small sample size, underrepresentation of women, and lack of detail regarding respondent characteristics. Additionally, capsule delivery of FMT was not assessed since this method of delivery had not been published at the time of survey administration.

Conclusion

This survey of VA patients with CDI suggests that aesthetic concerns are not a critical deterrent for this population, and interest in FMT for the treatment of recurrent CDI exists. Physician recommendation to undergo FMT seems to be the most influential factor affecting the likelihood of agreeing to undergo FMT. These results support the feasibility of conducting clinical trials of FMT in the VA system.

References

1. Miller BA, Chen LF, Sexton DJ, Anderson DJ. Comparison of the burdens of hospital-onset, healthcare facility-associated Clostridium difficile Infection and of healthcare-associated infection due to methicillin-resistant Staphylococcus aureus in community hospitals. Infect Control Hosp Epidemiol. 2011;32(4):387-390.

2. Centers for Disease Control and Prevention. Severe Clostridium difficile-associated disease in populations previously at low risk--four states, 2005. MMWR Morb Mortal Wkly Rep. 2005;54(47):1201-1205.

3. Johnson S, Louie TJ, Gerding DN, et al; Polymer Alternative for CDI Treatment (PACT) investigators. Vancomycin, metronidazole, or tolevamer for Clostridium difficile infection: results from two multinational, randomized, controlled trials. Clin Infect Dis. 2014;59(3):345-354.

4. Louie TJ, Miller MA, Mullane KM, et al; OPT-80-003 Clinical Study Group. Fidaxomicin versus vancomycin for Clostridium difficile infection. N Engl J Med. 2011;364(5):422-431.  

5. Centers for Disease Control and Prevention. Antibiotic resistance threats in the United States, 2013. http://www.cdc.gov/drugresistance/threat-report-2013. Updated July 17, 2014. Accessed November 16.2016.

6. Cohen SH, Gerding DN, Johnson S, et al; Society for Healthcare Epidemiology of America; Infectious Diseases Society of America. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA). Infect Control Hosp Epidemiol. 2010;31(5):431-455.

7. Cornely OA, Crook DW, Esposito R, et al; OPT-80-004 Clinical Study Group. Fidaxomicin versus vancomycin for infection with Clostridium difficile in Europe, Canada, and the USA: a double-blind, non-inferiority, randomised controlled trial. Lancet Infect Dis. 2012;12(4):281-289.

8. Johnson S. Recurrent Clostridium difficile infection: a review of risk factors, treatments, and outcomes. J Infect. 2009;58(6):403-410.

9. Drekonja DM, Reich J, Gezahegn S, et al. Fecal microbiota transplantation for Clostridium difficile infection--a systematic review. Ann Intern Med. 2015;162(9):630-638.

10. Zipursky JS, Sidorsky TI, Freedman CA, Sidorsky MN, Kirkland KB. Patient attitudes toward the use of fecal microbiota transplantation in the treatment of recurrent Clostridium difficile infection. Clin Infect Dis. 2012;55(12):1652-1658.

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Dr. O’Rourke is a pharmacist at the Mayo Clinic Hospital Rochester. Ms. Amundson is a medical researcher, and Dr. Drekonja is a staff physician, infectious diseases, at the Minneapolis VA Health Care System, all in Minnesota. Dr. Goodman is a first-year resident in internal medicine at the University of Illinois in Chicago. Dr. Drekonja is an associate professor of medicine at the University of Minnesota Medical School in Minneapolis.

Author disclosures  
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

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Dr. O’Rourke is a pharmacist at the Mayo Clinic Hospital Rochester. Ms. Amundson is a medical researcher, and Dr. Drekonja is a staff physician, infectious diseases, at the Minneapolis VA Health Care System, all in Minnesota. Dr. Goodman is a first-year resident in internal medicine at the University of Illinois in Chicago. Dr. Drekonja is an associate professor of medicine at the University of Minnesota Medical School in Minneapolis.

Author disclosures  
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

Author and Disclosure Information

Dr. O’Rourke is a pharmacist at the Mayo Clinic Hospital Rochester. Ms. Amundson is a medical researcher, and Dr. Drekonja is a staff physician, infectious diseases, at the Minneapolis VA Health Care System, all in Minnesota. Dr. Goodman is a first-year resident in internal medicine at the University of Illinois in Chicago. Dr. Drekonja is an associate professor of medicine at the University of Minnesota Medical School in Minneapolis.

Author disclosures  
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations--including indications, contraindications, warnings, and adverse effects--before administering pharmacologic therapy to patients.

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In a survey of patients with Clostridium difficile infection, physician recommendation seemed to be the largest factor affecting the likelihood of patients considering future fecal microbial therapy.
In a survey of patients with Clostridium difficile infection, physician recommendation seemed to be the largest factor affecting the likelihood of patients considering future fecal microbial therapy.

Clostridium difficile (C difficile) infection (CDI) is a leading cause of infectious diarrhea among hospitalized patients and, increasingly, in ambulatory patients.1,2 The high prevalence of CDI and the high recurrence rates (15%-30%) led the CDC to categorize C difficile as an "urgent" threat (the highest category) in its 2013 Antimicrobial Resistance Threat Report.3-5 The Infectious Diseases Society of America guideline recommended treatment for CDI is vancomycin or metronidazole; more recent studies also support fidaxomicin use.4,6,7  

Patients experiencing recurrent CDI are at risk for further recurrences, such that after the third CDI episode, the risk of subsequent recurrences exceeds 50%.8 This recurrence rate has stimulated research into other treatments, including fecal microbiota transplantation (FMT). A recent systematic  review of FMT reports that 85% of patients have resolution of symptoms without recurrence after FMT, although this is based on data from case series and 2 small randomized clinical trials.9

A commonly cited barrier to FMT is patient acceptance. In response to this concern, a previous survey demonstrated that 81% of respondents would opt for FMT to treat a hypothetical case of recurrent CDI.10 However, the surveyed population did not have CDI, and the 48% response rate is concerning, since those with a favorable opinion of FMT might be more willing to complete a survey than would other patients. Accordingly, the authors systematically surveyed hospitalized veterans with active CDI to assess their knowledge, attitudes, and opinions about FMT as a treatment for CDI.

Methods

In-person patient interviews were conducted by one of the study authors at the Minneapolis VA Health Care System (MVAHCS), consisting of 13 to 18 questions. Questions addressed any prior CDI episodes and knowledge of the following: CDI, recurrence risk, and FMT; preferred route and location of FMT administration; concerns regarding FMT; likelihood of agreeing to undergo FMT (if available); and likelihood of enrollment in a hypothetical study comparing FMT to standard antibiotic treatment. The survey was developed internally and was not validated. Questions used the Likert-scale (Survey).

Patients with CDI were identified by monitoring for positive C difficile polymerase chain reaction (PCR) stool tests and then screened for inclusion by medical record review. Inclusion criteria were (1) MVAHCS hospitalization; and (2) written informed consent. Exclusion criteria were the inability to communicate or participate in an interview. Patient responses regarding their likelihood of agreeing to FMT for CDI treatment under different circumstances were compared using Wilcoxon rank sum test. These circumstances included FMT for their current episode of CDI, FMT for a subsequent episode, and FMT if recommended by their physician. Possible concerns regarding FMT also were solicited, including infection risk, effectiveness, and procedural aesthetics. The MVAHCS institutional review board approved the study.

Results

Stool PCR tests for CDI were monitored for 158 days from 2013 to 2014 (based on availability of study staff), yielding 106 positive results. Of those, 31 (29%) were from outpatients and not addressed further. Of the 75 positive CDI tests from 66 hospitalized patients (9 patients had duplicate tests), 18 of 66 (27%) were not able to provide consent and were excluded, leaving 48 eligible patients. Six (13%) were missed for logistic reasons (patient at a test or procedure, discharged before approached, etc), leaving 42 patients who were approached for participation. Among these, 34 (81%) consented to participate in the survey. Two subjects (6%) found the topic so unappealing that they terminated the interview.

The majority of enrolled subjects were men (32/34, 94%), with a mean age of 65.3 years (range, 31-89). Eleven subjects (32%) reported a prior CDI episode, with 10 reporting 1 such episode, and the other 2 episodes. Those with prior CDI reported the effect of CDI on their overall quality of life as 5.1 (1 = no limitation, 10 = severe limitation). Respondents were fairly accurate regarding the risk of recurrence after an initial episode of CDI, with the average expectedrecurrence rate estimated at 33%. In contrast, their estimation of the risk of recurrence after a second CDI episode was lower (28%), although the risk of recurrent episodes increases with each CDI recurrence.

Regarding FMT, 5 subjects indicated awareness of the procedure: 2 learning of it from a news source, 1 from family, 1 from a health care provider, and 1 was unsure of the source. After subjects received a description of FMT, their opinions regarding the procedure were elicited. When asked which route of delivery they would prefer if they were to undergo FMT, the 33 subjects who provided a response indicated a strong preference for either enema (15, 45%) or colonoscopy (10, 30%), compared with just 4 (12%) indicating no preference, 2 (6%) choosing nasogastric tube administration, and 2 (6%) indicating that they would not undergo FMT by any route (P < .001).

Regarding the location of FMT administration (hospital setting vs self-administered at home), 31 of 33 respondents (94%) indicated they would prefer FMT to occur in the hospital vs 2 (6%) preferring self-administration at home (P < .001). The preferred source of donor stool was more evenly distributed, with 14 of 32 respondents (44%) indicating a preference for an anonymous donor, 11 preferring a family member (34%), and 7 (21%) with no preference (P = .21).

 

 

Subjects were asked about concerns regarding FMT, and asked to rate each on a 5-point Likert scale (1 = not at all concerning; 5 = overwhelming concern). Concerns regarding risk of infection and effectiveness received an average score of 2.74 and 2.72, respectively, whereas concern regarding the aesthetics, or "yuck factor" was slightly lower (2.1: P = NS for all comparisons). Subjects also were asked to rate the likelihood of undergoing FMT, if it were available, for their current episode of CDI, a subsequent episode of CDI, or if their physician recommended undergoing FMT (10 point scale: 1 = not at all likely; 10 = certainly agree to FMT). The mean scores (SD) for agreeing to FMT for the current or a subsequent episode were 4.8 (SD 2.7) and 5.6 (SD 3.0); P = .12, but increased to 7.1 (SD 3.23) if FMT were recommended by their physician (P < .001 for FMT if physician recommended vs FMT for current episode; P = .001 for FMT if physician recommended vs FMT for a subsequent episode). Finally, subjects were asked about the likelihood of enrolling in a study comparing FMT to standard antimicrobial treatment, with answers ranging from 1 (almost certainly would not enroll) to 5 (almost certainly would enroll). Among the 32 respondents to this question, 17 (53%) answered either "probably would enroll" or "almost certainly would enroll," with a mean score of 3.2.  

Discussion

Overall, VA patients with a current episode of CDI were not aware of FMT, with just 15% knowing about the procedure. However, after learning about FMT, patients expressed clear opinions regarding the route and setting of FMT administration, with enema or colonoscopy being the preferred routes, and a hospital the preferred setting. In contrast, subjects expressed ambivalence with regard to the source of donor stool, with no clear preference for stool from an anonymous donor vs from a family member.

When asked about concerns regarding FMT, none of the presented options (risk of infection, uncertain effectiveness, or procedural aesthetics) emerged as significantly more important than did others, although the oft-cited concern regarding FMT aesthetics engendered the lowest overall level of concern. In terms of FMT acceptance, 4 subjects (12%) were opposed to the procedure, indicating that they were not at all likely to agree to FMT for all scenarios (defined as a score of 1 or 2 on the 10-point Likert scale) or by terminating the survey because of the questions. However, 15 (44%) indicated that they would certainly agree to FMT (defined as a score of 9 or 10 on the 10-point Likert scale) if their physician recommended it. Physician recommendation for FMT resulted in the highest overall likelihood of agreeing to FMT, a finding in agreement with a previous survey of FMT for CDI.10 Most subjects indicated likely enrollment in a potential study comparing FMT with standard antimicrobial therapy.

 

Strengths/Limitations

Study strengths included surveying patients with current CDI, such that patients had personal experience with the disease in question. Use of in-person interviews also resulted in a robust response rate of 81% and allowed subjects to clarify any unclear questions with study personnel. Weaknesses included a relatively small sample size, underrepresentation of women, and lack of detail regarding respondent characteristics. Additionally, capsule delivery of FMT was not assessed since this method of delivery had not been published at the time of survey administration.

Conclusion

This survey of VA patients with CDI suggests that aesthetic concerns are not a critical deterrent for this population, and interest in FMT for the treatment of recurrent CDI exists. Physician recommendation to undergo FMT seems to be the most influential factor affecting the likelihood of agreeing to undergo FMT. These results support the feasibility of conducting clinical trials of FMT in the VA system.

Clostridium difficile (C difficile) infection (CDI) is a leading cause of infectious diarrhea among hospitalized patients and, increasingly, in ambulatory patients.1,2 The high prevalence of CDI and the high recurrence rates (15%-30%) led the CDC to categorize C difficile as an "urgent" threat (the highest category) in its 2013 Antimicrobial Resistance Threat Report.3-5 The Infectious Diseases Society of America guideline recommended treatment for CDI is vancomycin or metronidazole; more recent studies also support fidaxomicin use.4,6,7  

Patients experiencing recurrent CDI are at risk for further recurrences, such that after the third CDI episode, the risk of subsequent recurrences exceeds 50%.8 This recurrence rate has stimulated research into other treatments, including fecal microbiota transplantation (FMT). A recent systematic  review of FMT reports that 85% of patients have resolution of symptoms without recurrence after FMT, although this is based on data from case series and 2 small randomized clinical trials.9

A commonly cited barrier to FMT is patient acceptance. In response to this concern, a previous survey demonstrated that 81% of respondents would opt for FMT to treat a hypothetical case of recurrent CDI.10 However, the surveyed population did not have CDI, and the 48% response rate is concerning, since those with a favorable opinion of FMT might be more willing to complete a survey than would other patients. Accordingly, the authors systematically surveyed hospitalized veterans with active CDI to assess their knowledge, attitudes, and opinions about FMT as a treatment for CDI.

Methods

In-person patient interviews were conducted by one of the study authors at the Minneapolis VA Health Care System (MVAHCS), consisting of 13 to 18 questions. Questions addressed any prior CDI episodes and knowledge of the following: CDI, recurrence risk, and FMT; preferred route and location of FMT administration; concerns regarding FMT; likelihood of agreeing to undergo FMT (if available); and likelihood of enrollment in a hypothetical study comparing FMT to standard antibiotic treatment. The survey was developed internally and was not validated. Questions used the Likert-scale (Survey).

Patients with CDI were identified by monitoring for positive C difficile polymerase chain reaction (PCR) stool tests and then screened for inclusion by medical record review. Inclusion criteria were (1) MVAHCS hospitalization; and (2) written informed consent. Exclusion criteria were the inability to communicate or participate in an interview. Patient responses regarding their likelihood of agreeing to FMT for CDI treatment under different circumstances were compared using Wilcoxon rank sum test. These circumstances included FMT for their current episode of CDI, FMT for a subsequent episode, and FMT if recommended by their physician. Possible concerns regarding FMT also were solicited, including infection risk, effectiveness, and procedural aesthetics. The MVAHCS institutional review board approved the study.

Results

Stool PCR tests for CDI were monitored for 158 days from 2013 to 2014 (based on availability of study staff), yielding 106 positive results. Of those, 31 (29%) were from outpatients and not addressed further. Of the 75 positive CDI tests from 66 hospitalized patients (9 patients had duplicate tests), 18 of 66 (27%) were not able to provide consent and were excluded, leaving 48 eligible patients. Six (13%) were missed for logistic reasons (patient at a test or procedure, discharged before approached, etc), leaving 42 patients who were approached for participation. Among these, 34 (81%) consented to participate in the survey. Two subjects (6%) found the topic so unappealing that they terminated the interview.

The majority of enrolled subjects were men (32/34, 94%), with a mean age of 65.3 years (range, 31-89). Eleven subjects (32%) reported a prior CDI episode, with 10 reporting 1 such episode, and the other 2 episodes. Those with prior CDI reported the effect of CDI on their overall quality of life as 5.1 (1 = no limitation, 10 = severe limitation). Respondents were fairly accurate regarding the risk of recurrence after an initial episode of CDI, with the average expectedrecurrence rate estimated at 33%. In contrast, their estimation of the risk of recurrence after a second CDI episode was lower (28%), although the risk of recurrent episodes increases with each CDI recurrence.

Regarding FMT, 5 subjects indicated awareness of the procedure: 2 learning of it from a news source, 1 from family, 1 from a health care provider, and 1 was unsure of the source. After subjects received a description of FMT, their opinions regarding the procedure were elicited. When asked which route of delivery they would prefer if they were to undergo FMT, the 33 subjects who provided a response indicated a strong preference for either enema (15, 45%) or colonoscopy (10, 30%), compared with just 4 (12%) indicating no preference, 2 (6%) choosing nasogastric tube administration, and 2 (6%) indicating that they would not undergo FMT by any route (P < .001).

Regarding the location of FMT administration (hospital setting vs self-administered at home), 31 of 33 respondents (94%) indicated they would prefer FMT to occur in the hospital vs 2 (6%) preferring self-administration at home (P < .001). The preferred source of donor stool was more evenly distributed, with 14 of 32 respondents (44%) indicating a preference for an anonymous donor, 11 preferring a family member (34%), and 7 (21%) with no preference (P = .21).

 

 

Subjects were asked about concerns regarding FMT, and asked to rate each on a 5-point Likert scale (1 = not at all concerning; 5 = overwhelming concern). Concerns regarding risk of infection and effectiveness received an average score of 2.74 and 2.72, respectively, whereas concern regarding the aesthetics, or "yuck factor" was slightly lower (2.1: P = NS for all comparisons). Subjects also were asked to rate the likelihood of undergoing FMT, if it were available, for their current episode of CDI, a subsequent episode of CDI, or if their physician recommended undergoing FMT (10 point scale: 1 = not at all likely; 10 = certainly agree to FMT). The mean scores (SD) for agreeing to FMT for the current or a subsequent episode were 4.8 (SD 2.7) and 5.6 (SD 3.0); P = .12, but increased to 7.1 (SD 3.23) if FMT were recommended by their physician (P < .001 for FMT if physician recommended vs FMT for current episode; P = .001 for FMT if physician recommended vs FMT for a subsequent episode). Finally, subjects were asked about the likelihood of enrolling in a study comparing FMT to standard antimicrobial treatment, with answers ranging from 1 (almost certainly would not enroll) to 5 (almost certainly would enroll). Among the 32 respondents to this question, 17 (53%) answered either "probably would enroll" or "almost certainly would enroll," with a mean score of 3.2.  

Discussion

Overall, VA patients with a current episode of CDI were not aware of FMT, with just 15% knowing about the procedure. However, after learning about FMT, patients expressed clear opinions regarding the route and setting of FMT administration, with enema or colonoscopy being the preferred routes, and a hospital the preferred setting. In contrast, subjects expressed ambivalence with regard to the source of donor stool, with no clear preference for stool from an anonymous donor vs from a family member.

When asked about concerns regarding FMT, none of the presented options (risk of infection, uncertain effectiveness, or procedural aesthetics) emerged as significantly more important than did others, although the oft-cited concern regarding FMT aesthetics engendered the lowest overall level of concern. In terms of FMT acceptance, 4 subjects (12%) were opposed to the procedure, indicating that they were not at all likely to agree to FMT for all scenarios (defined as a score of 1 or 2 on the 10-point Likert scale) or by terminating the survey because of the questions. However, 15 (44%) indicated that they would certainly agree to FMT (defined as a score of 9 or 10 on the 10-point Likert scale) if their physician recommended it. Physician recommendation for FMT resulted in the highest overall likelihood of agreeing to FMT, a finding in agreement with a previous survey of FMT for CDI.10 Most subjects indicated likely enrollment in a potential study comparing FMT with standard antimicrobial therapy.

 

Strengths/Limitations

Study strengths included surveying patients with current CDI, such that patients had personal experience with the disease in question. Use of in-person interviews also resulted in a robust response rate of 81% and allowed subjects to clarify any unclear questions with study personnel. Weaknesses included a relatively small sample size, underrepresentation of women, and lack of detail regarding respondent characteristics. Additionally, capsule delivery of FMT was not assessed since this method of delivery had not been published at the time of survey administration.

Conclusion

This survey of VA patients with CDI suggests that aesthetic concerns are not a critical deterrent for this population, and interest in FMT for the treatment of recurrent CDI exists. Physician recommendation to undergo FMT seems to be the most influential factor affecting the likelihood of agreeing to undergo FMT. These results support the feasibility of conducting clinical trials of FMT in the VA system.

References

1. Miller BA, Chen LF, Sexton DJ, Anderson DJ. Comparison of the burdens of hospital-onset, healthcare facility-associated Clostridium difficile Infection and of healthcare-associated infection due to methicillin-resistant Staphylococcus aureus in community hospitals. Infect Control Hosp Epidemiol. 2011;32(4):387-390.

2. Centers for Disease Control and Prevention. Severe Clostridium difficile-associated disease in populations previously at low risk--four states, 2005. MMWR Morb Mortal Wkly Rep. 2005;54(47):1201-1205.

3. Johnson S, Louie TJ, Gerding DN, et al; Polymer Alternative for CDI Treatment (PACT) investigators. Vancomycin, metronidazole, or tolevamer for Clostridium difficile infection: results from two multinational, randomized, controlled trials. Clin Infect Dis. 2014;59(3):345-354.

4. Louie TJ, Miller MA, Mullane KM, et al; OPT-80-003 Clinical Study Group. Fidaxomicin versus vancomycin for Clostridium difficile infection. N Engl J Med. 2011;364(5):422-431.  

5. Centers for Disease Control and Prevention. Antibiotic resistance threats in the United States, 2013. http://www.cdc.gov/drugresistance/threat-report-2013. Updated July 17, 2014. Accessed November 16.2016.

6. Cohen SH, Gerding DN, Johnson S, et al; Society for Healthcare Epidemiology of America; Infectious Diseases Society of America. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA). Infect Control Hosp Epidemiol. 2010;31(5):431-455.

7. Cornely OA, Crook DW, Esposito R, et al; OPT-80-004 Clinical Study Group. Fidaxomicin versus vancomycin for infection with Clostridium difficile in Europe, Canada, and the USA: a double-blind, non-inferiority, randomised controlled trial. Lancet Infect Dis. 2012;12(4):281-289.

8. Johnson S. Recurrent Clostridium difficile infection: a review of risk factors, treatments, and outcomes. J Infect. 2009;58(6):403-410.

9. Drekonja DM, Reich J, Gezahegn S, et al. Fecal microbiota transplantation for Clostridium difficile infection--a systematic review. Ann Intern Med. 2015;162(9):630-638.

10. Zipursky JS, Sidorsky TI, Freedman CA, Sidorsky MN, Kirkland KB. Patient attitudes toward the use of fecal microbiota transplantation in the treatment of recurrent Clostridium difficile infection. Clin Infect Dis. 2012;55(12):1652-1658.

References

1. Miller BA, Chen LF, Sexton DJ, Anderson DJ. Comparison of the burdens of hospital-onset, healthcare facility-associated Clostridium difficile Infection and of healthcare-associated infection due to methicillin-resistant Staphylococcus aureus in community hospitals. Infect Control Hosp Epidemiol. 2011;32(4):387-390.

2. Centers for Disease Control and Prevention. Severe Clostridium difficile-associated disease in populations previously at low risk--four states, 2005. MMWR Morb Mortal Wkly Rep. 2005;54(47):1201-1205.

3. Johnson S, Louie TJ, Gerding DN, et al; Polymer Alternative for CDI Treatment (PACT) investigators. Vancomycin, metronidazole, or tolevamer for Clostridium difficile infection: results from two multinational, randomized, controlled trials. Clin Infect Dis. 2014;59(3):345-354.

4. Louie TJ, Miller MA, Mullane KM, et al; OPT-80-003 Clinical Study Group. Fidaxomicin versus vancomycin for Clostridium difficile infection. N Engl J Med. 2011;364(5):422-431.  

5. Centers for Disease Control and Prevention. Antibiotic resistance threats in the United States, 2013. http://www.cdc.gov/drugresistance/threat-report-2013. Updated July 17, 2014. Accessed November 16.2016.

6. Cohen SH, Gerding DN, Johnson S, et al; Society for Healthcare Epidemiology of America; Infectious Diseases Society of America. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA). Infect Control Hosp Epidemiol. 2010;31(5):431-455.

7. Cornely OA, Crook DW, Esposito R, et al; OPT-80-004 Clinical Study Group. Fidaxomicin versus vancomycin for infection with Clostridium difficile in Europe, Canada, and the USA: a double-blind, non-inferiority, randomised controlled trial. Lancet Infect Dis. 2012;12(4):281-289.

8. Johnson S. Recurrent Clostridium difficile infection: a review of risk factors, treatments, and outcomes. J Infect. 2009;58(6):403-410.

9. Drekonja DM, Reich J, Gezahegn S, et al. Fecal microbiota transplantation for Clostridium difficile infection--a systematic review. Ann Intern Med. 2015;162(9):630-638.

10. Zipursky JS, Sidorsky TI, Freedman CA, Sidorsky MN, Kirkland KB. Patient attitudes toward the use of fecal microbiota transplantation in the treatment of recurrent Clostridium difficile infection. Clin Infect Dis. 2012;55(12):1652-1658.

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