Evidence map›Paper›PMID 37155169›Full record

ArticleJAMA network open2023

Excess Mortality Among Patients in the Veterans Affairs Health System Compared With the Overall US Population During the First Year of the COVID-19 Pandemic.

Daniel M Weinberger, Liam Rose, Christopher Rentsch, Steven M Asch, Jesse A Columbo, Joseph King, Caroline Korves, Brian P Lucas, Cynthia Taub, Yinong Young-Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mortality Trends in Pre-COVID-19 and COVID-19 Eras Among Oldest Veterans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
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  9. Observational
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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

13 authors at 8 institutions in 2 countries.

Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Liam RoseDepartment of Veterans Affairs Medical Center, Palo Alto, California.
Christopher RentschDepartment of Veterans Affairs Connecticut Healthcare System, West Haven.
Steven M AschDepartment of Veterans Affairs Medical Center, Palo Alto, California.
Jesse A ColumboDepartment of Veterans Affairs Medical Center, White River Junction, Vermont.
Joseph KingDepartment of Veterans Affairs Connecticut Healthcare System, West Haven.
Caroline KorvesDepartment of Veterans Affairs Medical Center, White River Junction, Vermont.
Brian P LucasDepartment of Veterans Affairs Medical Center, White River Junction, Vermont.
Cynthia TaubDartmouth Hitchcock Medical Center, Lebanon, New Hampshire.
Yinong Young-XuDepartment of Veterans Affairs Medical Center, White River Junction, Vermont.
Anita VashiDepartment of Veterans Affairs Medical Center, Palo Alto, California.
Louise DaviesDepartment of Veterans Affairs Medical Center, White River Junction, Vermont.
Amy C JusticeDepartment of Veterans Affairs Connecticut Healthcare System, West Haven.
White River Junction VA Medical Center · USYale University · USDartmouth College · USDartmouth–Hitchcock Medical Center · USStanford Medicine · USUniversity of California, San Francisco · USVA Connecticut Healthcare System · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Importance: During the first year of the COVID-19 pandemic, there was a substantial increase in the rate of death in the United States. It is unclear whether those who had access to comprehensive medical care through the Department of Veterans Affairs (VA) health care system had different death rates compared with the overall US population. Objective: To quantify and compare the increase in death rates during the first year of the COVID-19 pandemic between individuals who received comprehensive medical care through the VA health care system and those in the general US population. Design, Setting, and Participants: This cohort study compared 10.9 million enrollees in the VA, including 6.8 million active users of VA health care (those with a visit in the last 2 years), with the general population of the US, with deaths occurring from January 1, 2014, to December 31, 2020. Statistical analysis was conducted from May 17, 2021, to March 15, 2023. Main Outcomes and Measures: Changes in rates of death from any cause during the COVID-19 pandemic in 2020 compared with previous years. Changes in all-cause death rates by quarter were stratified by age, sex, race and ethnicity, and region, based on individual-level data. Multilevel regression models were fit in a bayesian setting. Standardized rates were used for comparison between populations. Results: There were 10.9 million enrollees in the VA health care system and 6.8 million active users. The demographic characteristics of the VA populations were predominantly male (>85% in the VA health care system vs 49% in the general US population), older (mean [SD], 61.0 [18.2] years in the VA health care system vs 39.0 [23.1] years in the US population), and had a larger proportion of patients who were White (73% in the VA health care system vs 61% in the US population) or Black (17% in the VA health care system vs 13% in the US population). Increases in death rates were apparent across all of the adult age groups (≥25 years) in both the VA populations and the general US population. Across all of 2020, the relative increase in death rates compared with expected values was similar for VA enrollees (risk ratio [RR], 1.20 [95% CI, 1.14-1.29]), VA active users (RR, 1.19 [95% CI, 1.14-1.26]), and the general US population (RR, 1.20 [95% CI, 1.17-1.22]). Because the prepandemic standardized mortality rates were higher in the VA populations prior to the pandemic, the absolute rates of excess mortality were higher in the VA populations. Conclusions and Relevance: In this cohort study, a comparison of excess deaths between populations suggests that active users of the VA health system had similar relative increases in mortality compared with the general US population during the first 10 months of the COVID-19 pandemic.

Indexed as

COVID-19VeteransAdultBayes TheoremCohort StudiesFemaleHumansMalePandemicsUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID37155169
PMCPMC10167568
OpenAlexW4375858975

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.