Reaching Consensus on Long COVID Symptoms and Patient-Reported Outcomes Across the Veterans Health Administration Using a Modified Hybrid Nominal Group-Delphi Approach
A structured, rapid consensus process was used to identify a battery of symptom instruments to standardize Long COVID symptom assessment across VHA clinics.
Authors
- Barbara Jones (ORCID: https://orcid.org/0000-0002-0971-6887)
- Mayuree Rao (ORCID: https://orcid.org/0000-0002-0874-8238)
- Elizabeth Brill (ORCID: https://orcid.org/0000-0001-6182-3113)
- Omar Awan
- Amelia E. Schlak (ORCID: https://orcid.org/0000-0003-3078-6799)
- Kelli Lee
- Marian Adly
- Pandora L. Wander (ORCID: https://orcid.org/0000-0003-3671-1464)
- Debra A. Warner
- Ilana Seidel
- David Atkins (ORCID: https://orcid.org/0000-0003-0640-3356)
- Angela Y. S. Park (ORCID: https://orcid.org/0000-0003-3420-942X)
- Kayla Janssen
- Jacqueline Neal
Institutions
- Northwestern University (US)
- George Washington University (US)
- University of Washington (US)
- University of Utah (US)
- VA Office of Research and Development (US)
- Health Services Research & Development (US)
- VA Puget Sound Health Care System (US)
- Quality Enhancement Research Initiative (US)
- Jesse Brown VA Medical Center (US)
- Center for Innovation (US)
- San Francisco VA Health Care System (US)
- Washington DC VA Medical Center (US)
- Allen Institute for Artificial Intelligence (US)
Publication Details
- Journal
- Medical Care
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1097/mlr.0000000000002194
- Citations
- 1
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 1.39