Evidence map›Paper›PMID 26595227›Full record

ArticleMedical care2016

Racial and Ethnic Disparities in Health Care Access and Utilization Under the Affordable Care Act.

Jie Chen, Arturo Vargas-Bustamante, Karoline Mortensen, Alexander N Ortega

Abstract read
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 225 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
225citing papers in PubMed, 3 pooled it
–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

225 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Small Randomized Controlled Trial of the New Passport to Wellness HIV Prevention Intervention for Black Men Who Have Sex With Men (BMSM).AIDS education and prevention : official publication of the International Society for AIDS Education · 2020
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  13. Intra-aortic Balloon Pump Utilization Prior to Coronary Artery Bypass Grafting: Social Determinants of Health.Journal of the Society for Cardiovascular Angiography & Interventions · 2026
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  16. Integrating Community Health Workers Into Clinical Settings.Health expectations : an international journal of public participation in health care and health policy · 2026
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165 more citing papers are in PubMed but not listed here.

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

4 authors.

Jie Chen*Department of Health Services Administration, School of Public Health, University of Maryland, College Park, MD †Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, CA ‡Department of Health Sector Management & Policy, School of Business Administration, University of Miami, Coral Gables, FL §Department of Health Management & Policy, Drexel University Dana and David Dornsife School of Public Health, Philadelphia, PA.
Arturo Vargas-Bustamante
Karoline Mortensen
Alexander N Ortega

Funding

Vascular function, cardiovascular disease biomarkers and the Latino paradoxP50HL105188 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KAPLAN, ROBERT M · 2010 to 2014
$9.9M
PATIENTS: PATient-centered Involvement in Evaluating effectivNess of TreatmentR24HS022135 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI MULLINS, C. DANIEL · 2013 to 2017
$4.9M
Effect of Local Health Departments on Health Care Disparities for Individuals with Mental Health DisordersR21MH106813 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI CHEN, JIE · 2016 to 2017
$423k
AHRQ HHS 5R24HS022135-02AHRQ HHS R24 HS022135NHLBI NIH HHS P50 HL105188NHLBI NIH HHS P50HL105188NIMH NIH HHS R21 MH106813
6 · The paper itself

Abstract

objectiveTo examine racial and ethnic disparities in health care access and utilization after the Affordable Care Act (ACA) health insurance mandate was fully implemented in 2014. RESEARCH

designUsing the 2011-2014 National Health Interview Survey, we examine changes in health care access and utilization for the nonelderly US adult population. Multivariate linear probability models are estimated to adjust for demographic and sociodemographic factors.

resultsThe implementation of the ACA (year indicator 2014) is associated with significant reductions in the probabilities of being uninsured (coef=-0.03, P<0.001), delaying any necessary care (coef=-0.03, P<0.001), forgoing any necessary care (coef=-0.02, P<0.001), and a significant increase in the probability of having any physician visits (coef=0.02, P<0.001), compared with the reference year 2011. Interaction terms between the 2014 year indicator and race/ethnicity demonstrate that uninsured rates decreased more substantially among non-Latino African Americans (African Americans) (coef=-0.04, P<0.001) and Latinos (coef=-0.03, P<0.001) compared with non-Latino whites (whites). Latinos were less likely than whites to delay (coef=-0.02, P<0.001) or forgo (coef=-0.02, P<0.001) any necessary care and were more likely to have physician visits (coef=0.03, P<0.005) in 2014. The association between year indicator of 2014 and the probability of having any emergency department visits is not significant.

conclusionsHealth care access and insurance coverage are major factors that contributed to racial and ethnic disparities before the ACA implementation. Our results demonstrate that racial and ethnic disparities in access have been reduced significantly during the initial years of the ACA implementation that expanded access and mandated that individuals obtain health insurance.

Indexed as

AdultEthnicityFemaleHealthcare DisparitiesHealth Care SurveysHealth Services AccessibilityHumansInsurance CoverageInsurance, HealthMaleMedically UninsuredMiddle AgedOffice VisitsPatient Protection and Affordable Care ActRacial GroupsSocioeconomic Factors

Identifiers

PMID26595227
PMCPMC4711386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.