Data on Managed Care Reported by Researchers at Princeton University (Health Insurance Menu Design for Large Employers): Managed Care - Insurance News | InsuranceNewsNet

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November 27, 2023 Newswires
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Data on Managed Care Reported by Researchers at Princeton University (Health Insurance Menu Design for Large Employers): Managed Care

Insurance Daily News

2023 NOV 27 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Managed Care have been published. According to news reporting originating in Princeton, New Jersey, by NewsRx journalists, research stated, “We provide a framework for large employers designing a menu of health plan offerings that differ on both financial and nonfinancial dimensions.”

Funders for this research include National Science Foundation (NSF), National Science Foundation (NSF).

The news reporters obtained a quote from the research from Princeton University, “Using administrative data from Harvard University, we estimate a model of plan choice and utilization, and evaluate the benefits of cost sharing and plan variety. For this population of consumers, and a single plan with a generous out-of-pocket maximum and zero deductible, modest cost sharing of approximately 30% maximizes average employee surplus.”

According to the news reporters, the research concluded: “Gains from offering choice are meaningful only if financial differentiation is paired with differentiation along other dimensions where consumer preferences are correlated with efficient coverage levels.”

This research has been peer-reviewed.

For more information on this research see: Health Insurance Menu Design for Large Employers. The RAND Journal of Economics, 2023. The RAND Journal of Economics can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA.

Our news correspondents report that additional information may be obtained by contacting Kate Ho, Princeton University, Princeton, NJ 08544, United States.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/1756-2171.12452. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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