Evidence map›Paper›PMID 29412713›Full record

ReviewAmerican journal of public health2018

Mortality Disparities in Racial/Ethnic Minority Groups in the Veterans Health Administration: An Evidence Review and Map.

Kim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip

Open access · greenAbstract readReview
In one paragraph

Review in American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
33.0field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

  1. Pooled it
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  18. Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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  20. Article

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kim PetersonKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Johanna AndersonKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Erin BoundyKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Lauren FergusonKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Ellen McCleeryKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
Kallie WaldripKim Peterson, Johanna Anderson, Erin Boundy, Lauren Ferguson, Ellen McCleery, Kallie Waldrip, are with the Department of Veterans Affairs, VA Portland Health Care System, Evidence-Based Synthesis Program Coordinating Center, Portland, OR.
VA Portland Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinued racial/ethnic health disparities were recently described as "the most serious and shameful health care issue of our time." Although the 2014 US Affordable Care Act-mandated national insurance coverage expansion has led to significant improvements in health care coverage and access, its effects on life expectancy are not yet known. The Veterans Health Administration (VHA), the largest US integrated health care system, has a sustained commitment to health equity that addresses all 3 stages of health disparities research: detection, understanding determinants, and reduction or elimination. Despite this, racial disparities still exist in the VHA across a wide range of clinical areas and service types.

objectivesTo inform the health equity research agenda, we synthesized evidence on racial/ethnic mortality disparities in the VHA. SEARCH

methodsOur research librarian searched MEDLINE and Cochrane Central Registry of Controlled Trials from October 2006 through February 2017 using terms for racial groups and disparities. SELECTION CRITERIA: We included studies if they compared mortality between any racial/ethnic minority and nonminority veteran groups or between different minority groups in the VHA (PROSPERO# CRD42015015974). We made study selection decisions on the basis of prespecified eligibility criteria. They were first made by 1 reviewer and checked by a second and disagreements were resolved by consensus (sequential review). DATA COLLECTION AND ANALYSIS: Two reviewers sequentially abstracted data on prespecified population, outcome, setting, and study design characteristics. Two reviewers sequentially graded the strength of evidence using prespecified criteria on the basis of 5 key domains: study limitations (study design and internal validity), consistency, directness, precision of the evidence, and reporting biases. We synthesized the evidence qualitatively by grouping studies first by racial/ethnic minority group and then by clinical area. For areas with multiple studies in the same population and outcome, we pooled their reported hazard ratios (HRs) using random effects models (StatsDirect version 2.8.0; StatsDirect Ltd., Altrincham, England). We created an evidence map using a bubble plot format to represent the evidence base in 5 dimensions: odds ratio or HR of mortality for racial/ethnic minority group versus Whites, clinical area, strength of evidence, statistical significance, and racial group. MAIN

resultsFrom 2840 citations, we included 25 studies. Studies were large (n ≥ 10 000) and involved nationally representative cohorts, and the majority were of fair quality. Most studies compared mortality between Black and White veterans and found similar or lower mortality for Black veterans. However, we found modest mortality disparities (HR or OR = 1.07, 1.52) for Black veterans with stage 4 chronic kidney disease, colon cancer, diabetes, HIV, rectal cancer, or stroke; for American Indian and Alaska Native veterans undergoing noncardiac major surgery; and for Hispanic veterans with HIV or traumatic brain injury (most low strength). AUTHOR'S

conclusionsAlthough the VHA's equal access health care system has reduced many racial/ethnic mortality disparities present in the private sector, our review identified mortality disparities that have persisted mainly for Black veterans in several clinical areas. However, because most mortality disparities were supported by single studies with imprecise findings, we could not draw strong conclusions about this evidence. More disparities research is needed for American Indian and Alaska Native, Asian, and Hispanic veterans overall and for more of the largest life expectancy gaps. Public Health Implications. Because of the relatively high prevalence of diabetes in Black veterans, further research to better understand and reduce this mortality disparity may be prioritized as having the greatest potential impact. However, other mortality disparities affect thousands of veterans and cannot be ignored.

Indexed as

MortalityRacial GroupsBlack or African AmericanBlack PeopleDelivery of Health CareHealthcare DisparitiesHealth Services AccessibilityHispanic or LatinoHumansUnited StatesUnited States Department of Veterans AffairsWhite People

Identifiers

PMID29412713
PMCPMC5803811
OpenAlexW2787816609

What OpenQuestion holds

Textmetadata
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.