CORC LTO: COVID-19 Observational Research Collaboratory
Study Details
Study Description
Brief Summary
This study aims to examine the long-term outcomes in Veterans infected and uninfected with SARS-CoV-2 using electronic health record information and structured surveys.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
|
Detailed Description
Background: Early evidence suggests that the frequency and type of long term complications stemming from SARS-CoV-2 infection may depend on the severity of initial presentation. However, additional unidentified factors may also play a role including those related to the individual, the environment and/or the specific strain of the virus. The long-term health impacts of SARS-CoV-2 will have major implications for health care utilization, care processes and quality and costs of care for Veterans, both within the VA and in the community. Over 200,000 Veterans have had COVID-19. Although the long term consequences of this novel illness are unknown, it is clear they will often be significant. The overarching goal in the Long-Term Outcome Study (LTO) is to advance VA HSR&D research into the consequences and care of COVID-19 infection by developing and releasing integrated multi-modal data and results on long-term outcomes of COVID for use by VA clinical, research and operations communities. The investigators will do so via a coordinated program of data production and analysis using the VA electronic health record (EHR) and other administrative sources (e.g., Medicare), de novo longitudinal survey, and qualitative inquiry. This work will be closely coordinated with the COVID-19 Observational Research Collaboratory (CORC) Coordinating Center (CCC) and the burgeoning community of HSR&D-funded COVID researchers.
This study aims to examine the long-term outcomes in Veterans infected and uninfected with SARS-CoV-2.
Aim 1: Using VINCI-CDW data, patients will be identified who had a SARS-CoV-2 test since February 2020. The investigators will use a combination of traditional epidemiologic studies, and machine learning algorithms to determine the long term, multi-systemic and functional adverse outcomes and/or syndromes related to SARS-CoV-2. Members of the research team are currently developing methods to identify new onset and exacerbations in comorbidities following SARS-CoV-2 illness in Veterans.
Aim 2: Determine Veteran-Reported Outcome Effects Using Structured Survey on domains such as self- reported symptoms, disability, and financial impacts, measured repeatedly over 36 months.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Veterans who tested positive for COVID-19 (case) The investigators will organize the sampling of cases (and later of comparators) around the waves of the epidemic, as defined by their nadirs between national death rates-each approximately 3-4 months long. The investigators will initiate surveys of Veterans who have survived their initial SARS-CoV-2 infection. The viral infection "index date" will be defined as date of each patient's first positive test. |
|
| Veterans who did not test positive for COVID-19 (comparator) To support causal inference, the investigators will also sample Veterans without COVID who are matched to participants with COVID-19. In general, cases will be compared to comparators matched on risk of developing COVID infection during a given wave. |
Outcome Measures
Primary Outcome Measures
- Activities of Daily Living Scale (ADL) Change [Survey months 12, 18, 24, 30, 36]
Measures level of disability on a scale from 0 - 6, where higher values are considered a worse outcome. Multiple survey timepoints will allow us to assess change in disability over time.
- Instrumental Activities of Daily Living (IADL) Change [Survey months 12, 18, 24, 30, 36]
Measures level of disability on a scale from 0 - 8, where higher values are considered a worse outcome. Multiple survey timepoints will allow us to assess change in disability over time.
Eligibility Criteria
Criteria
Inclusion Criteria:
- All VA enrollees since February 2020, which includes all patients who were tested for SARS-CoV-2 and are included in the VA COVID-19 Shared Data Resource in CDW.
Exclusion Criteria:
- VA employees
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | VA Connecticut Healthcare System West Haven Campus, West Haven, CT | West Haven | Connecticut | United States | 06516 |
| 2 | VA Ann Arbor Healthcare System, Ann Arbor, MI | Ann Arbor | Michigan | United States | 48105 |
| 3 | Durham VA Medical Center, Durham, NC | Durham | North Carolina | United States | 27705 |
| 4 | VA Portland Health Care System, Portland, OR | Portland | Oregon | United States | 97239 |
| 5 | VA Salt Lake City Health Care System, Salt Lake City, UT | Salt Lake City | Utah | United States | 84148 |
| 6 | VA Puget Sound Health Care System Seattle Division, Seattle, WA | Seattle | Washington | United States | 98108 |
Sponsors and Collaborators
- VA Office of Research and Development
- VA Ann Arbor Healthcare System
- VA Puget Sound Health Care System
- VA Salt Lake City Health Care System
- Durham VA Health Care System
Investigators
- Principal Investigator: Denise M. Hynes, PhD MPH BSN, VA Portland Health Care System, Portland, OR
- Principal Investigator: Ann M. O'Hare, MD MA, VA Puget Sound Health Care System Seattle Division, Seattle, WA
- Principal Investigator: Christopher Barrett Bowling, MD BS, Durham VA Medical Center, Durham, NC
- Principal Investigator: Theodore Iwashyna, MD, VA Ann Arbor Healthcare System, Ann Arbor, MI
Study Documents (Full-Text)
None provided.More Information
Publications
- C19 21-279