Evidence map›Paper›PMID 38598237›Full record

ArticleJAMA network open2024

Risk of Potentially Preventable Hospitalizations After SARS-CoV-2 Infection.

Diana J Govier, Meike Niederhausen, Yumie Takata, Alex Hickok, Mazhgan Rowneki, Holly McCready, Valerie A Smith, Thomas F Osborne, Edward J Boyko, George N Ioannou and 7 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 11 institutions in 1 country.

Diana J GovierCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
Meike NiederhausenCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
Yumie TakataCollege of Health, Oregon State University, Corvallis.
Alex HickokCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
Mazhgan RownekiCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
Holly McCreadyCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
Valerie A SmithCenter of Innovation to Accelerate Discovery and Practice Transformation, VA Durham Health Care System, Durham, North Carolina.
Thomas F OsborneVA Palo Alto Health Care System, Palo Alto, California.
Edward J BoykoSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington.
George N IoannouCenter of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington.
Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation, VA Durham Health Care System, Durham, North Carolina.
Elizabeth M VigliantiVA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
Amy S B BohnertVA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
Ann M O'HareCenter of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington.
Theodore J IwashynaVA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
Denise M HynesCenter to Improve Veteran Involvement in Care, Veterans Affairs (VA) Portland Health Care System, Portland, Oregon.
US Department of Veterans Affairs Health Services Research and Development COVID-19 Observational Research Collaboratory
Health Services Research & Development · USUnited States Department of Veterans Affairs · USVA Portland Health Care System · USVA Center for Clinical Management Research · USDurham VA Health Care System · USVA Puget Sound Health Care System · USOregon Health & Science University · USOregon State University · USPortland State University · USUniversity of Washington · USVA Palo Alto Health Care System · US

Funding

HSR&D Senior Research Career Scientist AwardIK6HX003395 · VA · PORTLAND VA MEDICAL CENTER · PI Denise M. Hynes · 2021 to 2026
–
HSRD VA IK6 HX003395
6 · The paper itself

Abstract

Importance: Research demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings. Objective: To examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans. Design, Setting, and Participants: This cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024. Exposure: SARS-CoV-2 infection. Main Outcomes and Measures: The primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators. Results: The 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48). Conclusions and Relevance: In this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

Indexed as

COVID-19AgedCohort StudiesCOVID-19 TestingFemaleHospitalizationHumansMaleMedicareMiddle AgedSARS-CoV-2United StatesVeterans

Identifiers

PMID38598237
PMCPMC11007577
OpenAlexW4394687948

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.