2013
DOI: 10.1111/1475-6773.12103
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Massachusetts Coverage Expansion Associated with Reduction in Primary Care Utilization among Medicare Beneficiaries

Abstract: Objective. To examine whether expanding coverage for the nonelderly affects primary care utilization among Medicare beneficiaries. Data Source. Study Design. We use two zip code-level outcomes: arc percent change in primary care visits per Medicare beneficiary per year, and percentage point change in the share of beneficiaries with one or more primary care visits. We use a regression-based difference-in-difference analysis that compares Massachusetts with surrounding states, and zip codes with high, medium, an… Show more

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citations
Cited by 22 publications
(20 citation statements)
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References 12 publications
(16 reference statements)
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“…One study (15) analyzed Medicaid in the population of Massachusetts and its trends in the useof primary care services. In 2006, there was a policy change at the state level, and health reform significa ntly increased insurance coverage among non-elderly people, unlike other nearby states.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…One study (15) analyzed Medicaid in the population of Massachusetts and its trends in the useof primary care services. In 2006, there was a policy change at the state level, and health reform significa ntly increased insurance coverage among non-elderly people, unlike other nearby states.…”
Section: Resultsmentioning
confidence: 99%
“…After reviewing the literature, the access to health care in international scenarios was analyzed, in terms of ensuring or not the access to PHC by specific populations (10)(11)(12)(13)(14) ; some studies show the access through health plans (15)(16)(17)(18)(19) ; or address possibilities or proposals to improve the access to services either through restructuring (23)(24)(25)(26)(27)29) or strategies implemented for this purpose (7,(20)(21)(22)28,30) .…”
Section: Discussionmentioning
confidence: 99%
“…Elsewhere in the literature, theories about the spillover effects of restrictive insurance coverage (Glied and Zivin 2002) suggest a scenario where Medicaid expansions could decrease the healthcare supplied to Medicare beneficiaries. In addition to these competing theoretical predictions, the few existing empirical studies on this topic produce mixed results (Sommers, Baicker, and Epstein 2012;Bond and White 2013;Joynt et al 2013;Glied 2014;Joynt et al 2015).…”
mentioning
confidence: 99%
“…This methodology has been used previously in studies evaluating intervention programs or policies. [23][24][25][26] A multivariate differences-in-differences model is written as:…”
Section: Discussionmentioning
confidence: 99%
“…A differences‐in‐differences model assumes that, in the absence of the treatment or in our case Medicare Part D, the average outcomes for the exposed and control groups would have followed parallel paths over time. This methodology has been used previously in studies evaluating intervention programs or policies . A multivariate differences‐in‐differences model is written as: Outcome =B0+B1 group +B2 year +B3 true(group ×year true)+other covariates in which “group” is the variable for the treatment and control groups and B1 is the coefficient that reflects the differences between the control and treatment groups.…”
Section: Methodsmentioning
confidence: 99%