Evidence map›Paper›PMID 27429363›Full record

ArticleJournal of women's health (2002)2016

The Link Between Everyday Discrimination, Healthcare Utilization, and Health Status Among a National Sample of Women.

Soudabeh Fazeli Dehkordy, Kelli S Hall, Vanessa K Dalton, Ruth C Carlos

Abstract read
In one paragraph

Article in Journal of women's health (2002), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

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  13. Linking Structural Racism and Discrimination and Breast Cancer Outcomes: A Social Genomics Approach.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Soudabeh Fazeli Dehkordy1 Department of Radiology, University of Michigan School of Medicine , Ann Arbor, Michigan.
Kelli S Hall3 Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University , Atlanta, Georgia .
Vanessa K Dalton4 Department of Obstetrics and Gynecology, University of Michigan School of Medicine , Ann Arbor, Michigan.
Ruth C Carlos1 Department of Radiology, University of Michigan School of Medicine , Ann Arbor, Michigan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has not adequately examined the potential negative effects of perceiving routine discrimination on general healthcare utilization or health status, especially among reproductive-aged women. We sought to evaluate the association between everyday discrimination, health service use, and perceived health among a national sample of women in the United States. MATERIALS AND

methodsData were drawn from the Women's Healthcare Experiences and Preferences survey, a randomly selected, national probability sample of 1078 U.S. women aged 18-55 years. We examined associations between everyday discrimination (via a standardized scale) on frequency of health service utilization and perceived general health status using chi-square and multivariable logistic regression modeling.

resultsCompared with women who reported healthcare visits every 3 years or less (reference group), each one-point increase in discrimination score was associated with higher odds of having healthcare visits annually or more often (odds ratio [OR] = 1.36, confidence interval [95% CI] = 1.01-1.83). Additionally, each one-point increase in discrimination score was significantly associated with lower odds of having excellent/very good perceived health (OR = 0.65; 95% CI = 0.54-0.80).

conclusionPerceived discrimination was associated with increased exposure to the healthcare setting among this national sample of women. Perceived discrimination was also inversely associated with excellent/very good perceived health status.

Indexed as

Attitude to HealthHealth StatusPrejudiceAdolescentAdultAttitude of Health PersonnelFemaleHealthcare DisparitiesHealth ServicesHealth SurveysHumansInsurance, HealthLogistic ModelsMiddle AgedPopulation SurveillanceSocioeconomic Factorseveryday discriminationhealthcarehealth status

Identifiers

PMID27429363
PMCPMC5069725

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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.