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Complexity and Challenges of the Clinical Diagnosis and Management of Long COVID.
O'Hare, Ann M; Vig, Elizabeth K; Iwashyna, Theodore J; Fox, Alexandra; Taylor, Janelle S; Viglianti, Elizabeth M; Butler, Catherine R; Vranas, Kelly C; Helfand, Mark; Tuepker, Anaïs; Nugent, Shannon M; Winchell, Kara A; Laundry, Ryan J; Bowling, C Barrett; Hynes, Denise M; Maciejewski, Matthew L; Bohnert, Amy S B; Locke, Emily R; Boyko, Edward J; Ioannou, George N.
  • O'Hare AM; Health Services Research & Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington.
  • Vig EK; Hospital and Specialty Medicine and Geriatrics and Extended Care Services, VA Puget Sound Health Care System, Seattle, Washington.
  • Iwashyna TJ; Department of Medicine, University of Washington, Seattle.
  • Fox A; Hospital and Specialty Medicine and Geriatrics and Extended Care Services, VA Puget Sound Health Care System, Seattle, Washington.
  • Taylor JS; Department of Medicine, University of Washington, Seattle.
  • Viglianti EM; Pulmonary and Critical Care Medicine, Department of Health Policy & Management, School of Public Health, Johns Hopkins University, Baltimore, Maryland.
  • Butler CR; Seattle Epidemiologic Research and Information Center, VA Puget Sound, Seattle, Washington.
  • Vranas KC; Department of Anthropology, University of Toronto, Toronto, Canada.
  • Helfand M; Department of Internal Medicine Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor.
  • Tuepker A; Health Services Research & Development Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington.
  • Nugent SM; Hospital and Specialty Medicine and Geriatrics and Extended Care Services, VA Puget Sound Health Care System, Seattle, Washington.
  • Winchell KA; Department of Medicine, University of Washington, Seattle.
  • Laundry RJ; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon.
  • Bowling CB; Oregon Health & Science University, Portland.
  • Hynes DM; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon.
  • Maciejewski ML; Oregon Health & Science University, Portland.
  • Bohnert ASB; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon.
  • Locke ER; Oregon Health & Science University, Portland.
  • Boyko EJ; Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon.
  • Ioannou GN; Oregon Health & Science University, Portland.
JAMA Netw Open ; 5(11): e2240332, 2022 11 01.
Article in English | MEDLINE | ID: covidwho-2094125
ABSTRACT
Importance There 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.

Objective:

To 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

Participants:

This 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

Measures:

A 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.

Results:

In 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 Relevance This 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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article