# Medicare Policy Effects on Mental Health Care Disparities

> **NIH NIH R01** · MASSACHUSETTS GENERAL HOSPITAL · 2020 · $623,185

## Abstract

This project will assess the impact of recent Medicare policy changes on racial/ethnic disparities in mental
health (MH) care. Medicare is the most common source of coverage for elderly and non-elderly disabled
Americans with mental illness. Two recent policy changes have the potential to reduce wide disparities in
access to mental health care, including care provided by primary care providers (PCPs) and specialty mental
health providers (MHPs). Specifically, the Affordable Care Act (ACA) temporarily increased payments in 2013-
2014 by up to 25 percent for PCPs caring for Full Subsidy dual-eligible beneficiaries. Separately, the Medicare
Improvements for Patients and Providers Act (MIPPA) gradually increased MHP payments (2009-2014) by up
to 37 percent for Full Subsidy beneficiaries, and reduced beneficiary coinsurance for MHP visits from 50% to
20% for other beneficiaries (i.e., Partial Subsidy beneficiaries with incomes just above eligibility for Full
Subsidies). In other settings, changes in provider payments and cost-sharing have been effective policy levers
in modifying care utilization and access. In Medicare, these policies could reduce disparities by improving
access to care for low-income income and Full Subsidy dual-eligibles, who are disproportionately racial/ethnic
minorities; but there is little data on their effects. Despite the limited evidence, 34 states dropped PCP payment
rates in 2015 (back to pre-2013 levels), while 16 states have continued the payment increase. We will use the
natural experiments created by the ACA and MIPPA to assess the effects of these policy changes on
racial/ethnic disparities in MH care within three sets of outcomes: Aim 1) medical care and quality process
measures (e.g., outpatient visits to PCPs and MHPs for mental health diagnoses, antidepressant use in major
depression); Aim 2) clinical events (e.g., emergency department visits and hospitalizations); and Aim 3) total
and component medical spending. We will use comprehensive Medicare claims data (2006-2018) to compare
longitudinal changes for Black, Hispanic, Asian, Native American and White beneficiaries affected vs.
unaffected by the policies using a difference-in-difference approach with fixed effects (within-person)
estimation. To estimate the effects of each policy, our identification strategy exploits the staggered
implementation of each policy, differences across states in the magnitude of the payment changes based on
baseline payment rates, and variations in exposure associated with eligibility for Full vs. Partial low-income
subsidies. We will compare four resulting policy exposure groups: 1) beneficiaries affected by the PCP (2013-
2014) and MHP payment increases; 2) beneficiaries affected by the extended PCP (2013-2018) and MHP
payment increases; 3) beneficiaries affected only by the MHP cost-sharing decrease; and 4) beneficiaries
unaffected by either policy (concurrent controls). The findings from this study have the potential to inform
d...

## Key facts

- **NIH application ID:** 9850875
- **Project number:** 5R01MD010456-04
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** Benjamin Le Cook
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $623,185
- **Award type:** 5
- **Project period:** 2017-02-01 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9850875

## Citation

> US National Institutes of Health, RePORTER application 9850875, Medicare Policy Effects on Mental Health Care Disparities (5R01MD010456-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9850875. Licensed CC0.

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