Modeling Financial Eligibility for Medicaid Long-term Services and Supports.

Medicaid plays a significant role in financing long-term services and supports (LTSS) for low-income elderly (65+) in the United States. We modeled the impact of changing income, home equity, and asset limitations on Medicaid eligibility across states. We found that one in five elderly adults (10 million individuals) meet all three tests and would be financially eligible for Medicaid LTSS. Imposing additional restrictions on income allowances and eligibility thresholds had greatest impact on financial eligibility for Medicaid LTSS. Few states have opted to restrict financial eligibility and are instead looking for ways to keep people living independently in the community.

Emergency Flexibility for States to Increase and Maintain Medicaid Eligibility for LTSS under COVID-19.

Medicaid provides essential coverage for health care and long-term services and supports (LTSS) to low-income older adults and disabled individuals but eligibility is complicated and restrictive. In light of the current public health emergency, states have been given new authority to streamline and increase the flexibility of Medicaid LTSS eligibility, helping them enroll eligible individuals and ensure that current beneficiaries are not inadvertently disenrolled. Though state budgets are under increased pressure during the economic crisis created by the coronavirus, we caution states against cutting Medicaid LTSS eligibility or services to balance their budgets. These services are critical to an especially vulnerable population during a global pandemic.

Data Resources for Conducting Health Services and Policy Research.

Rich federal data resources provide essential data inputs for monitoring the health and health care of the US population and are essential for conducting health services policy research. The six household surveys we document in this article cover a broad array of health topics, including health insurance coverage (American Community Survey, Current Population Survey), health conditions and behaviors (National Health Interview Survey, Behavioral Risk Factor Surveillance System), health care utilization and spending (Medical Expenditure Panel Survey), and longitudinal data on public program participation (SIPP). New federal activities are linking federal surveys with administrative data to reduce duplication and response burden. In the private sector, vendors are aggregating data from medical records and claims to enhance our understanding of treatment, quality, and outcomes of medical care. Federal agencies must continue to innovate to meet the continuous challenges of scarce resources, pressures for more granular data, and new multimode data collection methodologies.