Evidence map›Paper›PMID 37824243›Full record

ArticlePsychological services2024

Relationships among race, ethnicity, and gender and whole health among U.S. veterans.

Gage M Chu, Erin Almklov, Clarice Wang, Caitlin L McLean, James O E Pittman, Ariel J Lang

Abstract read
In one paragraph

Article in Psychological services, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Measuring Whole Person Health: A Scoping Review.Journal of integrative and complementary medicine · 2025
    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

6 authors.

Gage M ChuVA San Diego Healthcare System.ORCID 0000-0003-2589-7443
Erin AlmklovVA San Diego Healthcare System.
Clarice WangVA San Diego Healthcare System.
Caitlin L McLeanVA San Diego Healthcare System.
James O E PittmanVA San Diego Healthcare System.
Ariel J LangCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System.

Funding

Center of Excellence for Stress and Mental Health
6 · The paper itself

Abstract

Racial, ethnic, and gender health care disparities in the United States are well-documented and stretch across the lifespan. Even in large integrated health care systems such as Veteran Health Administration, which are designed to provide equality in care, social and economic disparities persist, and limit patients' achievement of health goals across multiple domains. We explore Veterans' Whole Health priorities among Veteran demographic groups. Participants who were enrolling in Veteran Health Administration provided demographics and Whole Health priorities using eScreening, a web-based self-assessment tool. Veterans had similar health care goals regardless of demographic characteristics but differences were noted in current health appraisals. Non-White and women Veterans reported worse health-relevant functioning. Black Veterans were more likely to endorse a low rating for their personal development/relationships. Multiracial Veterans were more likely to endorse a low rating of their surroundings. Asian Veterans were less likely to provide a high rating of their surroundings. Women Veterans reported lower appraisals for body and personal development but higher appraisals of professional care. Results indicated that demographic factors such as race and gender, and to a lesser extent ethnicity, were associated with health disparities. The Whole Health model provides a holistic framework for addressing these disparities. These findings may inform more culturally sensitive care and enhance Veteran Health Administration equal access initiatives. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Healthcare DisparitiesVeteransAdultAgedAsianBlack or African AmericanEthnicityFemaleHealth Status DisparitiesHumansMaleMiddle AgedRacial GroupsSex FactorsUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID37824243
PMCPMC11009376

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.