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ABSTRACT: Objective
To investigate how integration between Medicare Advantage plans and health care providers is related to plan premiums and quality ratings.Data source
We used public data from the Centers for Medicare and Medicaid Services (CMS) and the Area Resource File and private data from one large insurer. Premiums and quality ratings are from 2009 CMS administrative files and some control variables are historical.Study design
We estimated ordinary least-squares models for premiums and plan quality ratings, with state fixed effects and firm random effects. The key independent variable was an indicator of plan-provider integration.Data collection
With the exception of Medigap premium data, all data were publicly available. We ascertained plan-provider integration through examination of plans' websites and governance documents.Principal findings
We found that integrated plan-providers charge higher premiums, controlling for quality. Such plans also have higher quality ratings. We found no evidence that integration is associated with more generous benefits.Conclusions
Current policy encourages plan-provider integration, although potential effects on health insurance products and markets are uncertain. Policy makers and regulators may want to closely monitor changes in premiums and quality after integration and consider whether quality improvement (if any) justifies premium increases (if they occur).
SUBMITTER: Frakt AB
PROVIDER: S-EPMC3876399 | biostudies-literature | 2013 Dec
REPOSITORIES: biostudies-literature
Frakt Austin B AB Pizer Steven D SD Feldman Roger R
Health services research 20130626 6 Pt 1
<h4>Objective</h4>To investigate how integration between Medicare Advantage plans and health care providers is related to plan premiums and quality ratings.<h4>Data source</h4>We used public data from the Centers for Medicare and Medicaid Services (CMS) and the Area Resource File and private data from one large insurer. Premiums and quality ratings are from 2009 CMS administrative files and some control variables are historical.<h4>Study design</h4>We estimated ordinary least-squares models for ...[more]