Evidence map›Paper›PMID 27225252›Full record

ArticleJournal of immigrant and minority health2017

Health Benefits Mandates and Their Potential Impacts on Racial/Ethnic Group Disparities in Insurance Markets.

Shana Alex Charles, Ninez Ponce, Dominique Ritley, Sylvia Guendelman, Jennifer Kempster, John Lewis, Joy Melnikow

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Article in Journal of immigrant and minority health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shana Alex CharlesDepartment of Health Science, California State University Fullerton, 800 N. State College Boulevard, Fullerton, CA, 92831, USA. scharles@fullerton.edu.
Ninez PonceDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Dominique RitleyDepartment of Family and Community Medicine, UC Davis, Davis, CA, USA.
Sylvia GuendelmanSchool of Public Health, UC Berkeley, Berkeley, CA, USA.
Jennifer KempsterCenter for Healthcare Policy, UC San Diego, San Diego, CA, USA.
John LewisCalifornia Health Benefits Review Program, Oakland, CA, USA.
Joy MelnikowDepartment of Family and Community Medicine, UC Davis, Davis, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing racial/ethnic group disparities in health insurance benefits through legislative mandates requires attention to the different proportions of racial/ethnic groups among insurance markets. This necessary baseline data, however, has proven difficult to measure. We applied racial/ethnic data from the 2009 California Health Interview Survey to the 2012 California Health Benefits Review Program Cost and Coverage Model to determine the racial/ethnic composition of ten health insurance market segments. We found disproportional representation of racial/ethnic groups by segment, thus affecting the health insurance impacts of benefit mandates. California's Medicaid program is disproportionately Latino (60 % in Medi-Cal, compared to 39 % for the entire population), and the individual insurance market is disproportionately non-Latino white. Gender differences also exist. Mandates could unintentionally increase insurance coverage racial/ethnic disparities. Policymakers should consider the distribution of existing racial/ethnic disparities as criteria for legislative action on benefit mandates across health insurance markets.

Indexed as

AdultCaliforniaEthnicityFemaleHealth Services AccessibilityHealth SurveysHumansInsurance CoverageInsurance, HealthMaleMedicaidMiddle AgedRacial GroupsRetrospective StudiesSex FactorsUnited StatesBenefit mandatesHealth insuranceRacial/ethnic group disparitiesState health policy

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Registered trials

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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.