Evidence map›Paper›PMID 36579742›Full record

ArticleHealth services research2023

Income-related disparities in Medicare advantage behavioral health care quality.

Joshua Breslau, Amelia M Haviland, David J Klein, Steven Martino, John Adams, Jacob W Dembosky, Loida Tamayo, Sarah Gaillot, Yvette Overton, Marc N Elliott

Abstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Joshua BreslauRAND Corporation, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-1194-4643
Amelia M HavilandRAND Corporation, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1068-4031
David J KleinRAND Corporation, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5022-5839
Steven MartinoRAND Corporation, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-1514-4133
John AdamsKaiser Permanente Center for Effectiveness & Safety Research and Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA.
Jacob W DemboskyRAND Corporation, Pittsburgh, Pennsylvania, USA.
Loida TamayoCenters for Medicare & Medicaid Services, Baltimore, Maryland, USA.
Sarah GaillotCenters for Medicare & Medicaid Services, Baltimore, Maryland, USA.
Yvette OvertonCenters for Medicare & Medicaid Services, Baltimore, Maryland, USA.
Marc N ElliottRAND Corporation, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-7147-5535

Funding

Policy Impacts on Behavioral Health Care DisparitiesR01MD010274 · NIMHD · RAND CORPORATION · PI BRESLAU, JOSHUA A · 2015 to 2019
$3.0M
Centers for Medicare and Medicaid Services GS-10F-0275P/75FCMC20F0101National Institute of Minority Health and Health Disparities R01MD010274NIMHD NIH HHS R01 MD010274
6 · The paper itself

Abstract

objectiveTo inform efforts to improve equity in the quality of behavioral health care by examining income-related differences in performance on HEDIS behavioral health measures in Medicare Advantage (MA) plans. DATA SOURCES AND STUDY

settingReporting Year 2019 MA HEDIS data were obtained and analyzed. STUDY

designLogistic regression models were used to estimate differences in performance related to enrollee income, adjusting for sex, age, and race-and-ethnicity. Low-income enrollees were identified by Dual Eligibility for Medicare and Medicaid or receipt of the Low-Income Subsidy (DE/LIS). Models without and with random effects for plans were used to estimate overall and within-plan differences in measure performance. Heterogeneity by race-and-ethnicity in the associations of low-income with behavioral health quality were examined using models with interaction terms. DATA COLLECTION/EXTRACTION

methodsData were included for all MA contracts in the 50 states and the District of Columbia that collect HEDIS data. PRINCIPAL

findingsFor six of the eight measures, enrollees with DE/LIS coverage were more likely to have behavioral health conditions that qualify for HEDIS measures than higher income enrollees. In mixed-effects logistic regression models, DE/LIS coverage was associated with statistically significantly worse overall performance on five measures, with four large (>5 percentage point) differences (-7.5 to -11.1 percentage points) related to follow-up after hospitalization and avoidance of drug-disease interactions. Where the differences were large, they were primarily within-plan rather than between-plan. Interactions between DE/LIS and race-and-ethnicity were statistically significant (p < 0.05) for all measures; income-based quality gaps were larger for White enrollees than for Black or Hispanic enrollees.

conclusionsLow income is associated with lower performance on behavioral health HEDIS measures in MA, but these associations differ across racial-and-ethnic groups. Improving care integration and addressing barriers to care for low-income enrollees may improve equity across income levels in behavioral health care.

Indexed as

Medicare Part CQuality of Health CareAgedBlack or African AmericanEthnicityHispanic or LatinoHumansMental Health ServicesUnited StatesWhitehealth care disparitiesmanaged care organizationsMedicaremental healthquality of care

Identifiers

PMID36579742
PMCPMC10154171

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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.