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Impact of Recent Medicaid Expansions on Office-Based Primary Care and Specialty Care among the Newly Eligible.


ABSTRACT: OBJECTIVE:To quantify the effect of Medicaid expansions on office-based care among the newly eligible. DATA SOURCE:2008-2014 Medical Expenditure Panel Survey. STUDY DESIGN:The main sample is adults age 26-64 with incomes ≤138% of poverty who were not eligible for Medicaid prior to the Affordable Care Act. For this population, difference-in-differences linear probability models compare utilization between expansion and nonexpansion states and between 2008-2013 and 2014. EXTRACTION METHODS:Medicaid eligibility is simulated using data on family relationships, state of residence, and income. PRINCIPAL FINDINGS:Relative to comparable adults in nonexpansion states, newly eligible adults in expansion states were 9.1 percentage points more likely to have any office-based primary care physician visit in 2014, a 21.4% increase from 2013 (p-value = .004); 6.9 percentage points more likely to have a specialist visit, a 25.2% increase from 2013 (p-value = .036); and 5.1 percentage points more likely to have a visit with a nurse practitioner, nurse, or physician assistant, a 34.5% increase from 2013 (p-value = .016). CONCLUSIONS:State Medicaid expansions in 2014 were associated with greater likelihoods of visits with a variety of office-based providers. The estimated effects are larger among newly eligible compared with previous estimates on broader populations of low-income adults.

SUBMITTER: Biener AI 

PROVIDER: S-EPMC6051968 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Impact of Recent Medicaid Expansions on Office-Based Primary Care and Specialty Care among the Newly Eligible.

Biener Adam I AI   Zuvekas Samuel H SH   Hill Steven C SC  

Health services research 20171020 4


<h4>Objective</h4>To quantify the effect of Medicaid expansions on office-based care among the newly eligible.<h4>Data source</h4>2008-2014 Medical Expenditure Panel Survey.<h4>Study design</h4>The main sample is adults age 26-64 with incomes ≤138% of poverty who were not eligible for Medicaid prior to the Affordable Care Act. For this population, difference-in-differences linear probability models compare utilization between expansion and nonexpansion states and between 2008-2013 and 2014.<h4>E  ...[more]

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