Income-related Disparities in Medicare Advantage Behavioral Health Care Quality

Published in: Health Services Research (2023). doi: 10.1111/1475-6773.14124

Posted on RAND.org on January 24, 2023

by Joshua Breslau, Amelia Haviland, David J. Klein, Steven C. Martino, John L. Adams, Jacob W. Dembosky, Loida Tamayo, Sarah J. Gaillot, Adrian Overton, Marc N. Elliott

Objective

To 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 Setting

Reporting Year 2019 MA HEDIS data were obtained and analyzed.

Study Design

Logistic 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 Methods

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

Principal Findings

For 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.

Conclusions

Low 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.

Research conducted by

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