Complexity and Challenges of the Clinical Diagnosis and Management of Long COVID

Author:

O’Hare Ann M.123,Vig Elizabeth K.23,Iwashyna Theodore J.4,Fox Alexandra5,Taylor Janelle S.6,Viglianti Elizabeth M.7,Butler Catherine R.123,Vranas Kelly C.89,Helfand Mark89,Tuepker Anaïs89,Nugent Shannon M.89,Winchell Kara A.8,Laundry Ryan J.1,Bowling C. Barrett1011,Hynes Denise M.8912,Maciejewski Matthew L.131415,Bohnert Amy S. B.1617,Locke Emily R.15,Boyko Edward J.235,Ioannou George N.1235,

Affiliation:

1. Health Services Research & Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington

2. Hospital and Specialty Medicine and Geriatrics and Extended Care Services, VA Puget Sound Health Care System, Seattle, Washington

3. Department of Medicine, University of Washington, Seattle

4. Pulmonary and Critical Care Medicine, Department of Health Policy & Management, School of Public Health, Johns Hopkins University, Baltimore, Maryland

5. Seattle Epidemiologic Research and Information Center, VA Puget Sound, Seattle, Washington

6. Department of Anthropology, University of Toronto, Toronto, Canada

7. Department of Internal Medicine Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor

8. Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon

9. Oregon Health & Science University, Portland

10. Geriatric Research Education and Clinical Center, Durham VA Medical Center, Durham, North Carolina

11. Department of Medicine, Duke University, Durham, North Carolina

12. College of Public Health and Human Sciences and Center for Quantitative Life Sciences, Oregon State University, Corvallis

13. Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, Durham, North Carolina

14. Department of Population Health Sciences, Duke University, Durham, North Carolina

15. Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina

16. VA Center for Clinical Management Research, Ann Arbor VA, Ann Arbor, Michigan

17. Departments of Anesthesiology and Psychiatry, University of Michigan Medical School, Ann Arbor

Abstract

ImportanceThere is increasing recognition of the long-term health effects of SARS-CoV-2 infection (sometimes called long COVID). However, little is yet known about the clinical diagnosis and management of long COVID within health systems.ObjectiveTo describe dominant themes pertaining to the clinical diagnosis and management of long COVID in the electronic health records (EHRs) of patients with a diagnostic code for this condition (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code U09.9).Design, Setting, and ParticipantsThis qualitative analysis used data from EHRs of a national random sample of 200 patients receiving care in the Department of Veterans Affairs (VA) with documentation of a positive result on a polymerase chain reaction (PCR) test for SARS-CoV-2 between February 27, 2020, and December 31, 2021, and an ICD-10 diagnostic code for long COVID between October 1, 2021, when the code was implemented, and March 1, 2022. Data were analyzed from February 5 to May 31, 2022.Main Outcomes and MeasuresA text word search and qualitative analysis of patients’ VA-wide EHRs was performed to identify dominant themes pertaining to the clinical diagnosis and management of long COVID.ResultsIn this qualitative analysis of documentation in the VA-wide EHR, the mean (SD) age of the 200 sampled patients at the time of their first positive PCR test result for SARS-CoV-2 in VA records was 60 (14.5) years. The sample included 173 (86.5%) men; 45 individuals (22.5%) were identified as Black and 136 individuals (68.0%) were identified as White. In qualitative analysis of documentation pertaining to long COVID in patients’ EHRs 2 dominant themes were identified: (1) clinical uncertainty, in that it was often unclear whether particular symptoms could be attributed to long COVID, given the medical complexity and functional limitations of many patients and absence of specific markers for this condition, which could lead to ongoing monitoring, diagnostic testing, and specialist referral; and (2) care fragmentation, describing how post–COVID-19 care processes were often siloed from and poorly coordinated with other aspects of care and could be burdensome to patients.Conclusions and RelevanceThis qualitative study of documentation in the VA EHR highlights the complexity of diagnosing long COVID in clinical settings and the challenges of caring for patients who have or are suspected of having this condition.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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