Literature DB >> 26908088

Does Churning in Medicaid Affect Health Care Use?

Eric T Roberts1, Craig Evan Pollack.   

Abstract

BACKGROUND: Transitions into and out of Medicaid, termed churning, may disrupt access to and continuity of care. Low-income, working adults who became eligible for Medicaid under the Affordable Care Act are particularly susceptible to income and employment changes that lead to churning.
OBJECTIVE: To compare health care use among adults who do and do not churn into and out of Medicaid. DATA: Longitudinal data from 6 panels of the Medical Expenditure Panel Survey.
METHODS: We used differences-in-differences regression to compare health care use when adults reenrolled in Medicaid following a loss of coverage, to utilization in a control group of continuously enrolled adults. OUTCOME MEASURES: Emergency department (ED) visits, ED visits resulting in an inpatient admission, and visits to office-based providers.
RESULTS: During the study period, 264 adults churned into and out of Medicaid and 627 had continuous coverage. Churning adults had an average of approximately 0.05 Medicaid-covered office-based visits per month 4 months before reenrolling in Medicaid, significantly below the rate of approximately 0.20 visits in the control group. Visits to office-based providers did not reach the control group rate until several months after churning adults had resumed Medicaid coverage. Our comparisons found no evidence of significantly elevated ED and inpatient admission rates in the churning group following reenrollment.
CONCLUSIONS: Adults who lose Medicaid tend to defer their use of office-based care to periods when they are insured. Although this suggests that enrollment disruptions lead to suboptimal timing of care, we do not find evidence that adults reenroll in Medicaid with elevated acute care needs.

Entities:  

Mesh:

Year:  2016        PMID: 26908088      PMCID: PMC5548183          DOI: 10.1097/MLR.0000000000000509

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


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