| Using the lessons of behavioral economics to design more effective pay-for-performance programs. | |
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MedLine Citation:
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PMID: 20645665 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVES: To describe improvements in the design of pay-for-performance (P4P) programs that reflect the psychology of how people respond to incentives. STUDY DESIGN: Investigation of the behavioral economics literature. METHODS: We describe 7 ways to improve P4P program design in terms of frequency and types of incentive payments. After discussing why P4P incentives can have unintended adverse consequences, we outline potential ways to mitigate these. RESULTS: Although P4P incentives are increasingly popular, the healthcare literature shows that these have had minimal effect. Design improvements in P4P programs can enhance their effectiveness. CONCLUSION: Lessons from behavioral economics may greatly enhance the design and effectiveness of P4P programs in healthcare, but future work is needed to demonstrate this empirically. |
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Authors:
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Ateev Mehrotra; Melony E S Sorbero; Cheryl L Damberg |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: The American journal of managed care Volume: 16 ISSN: 1936-2692 ISO Abbreviation: Am J Manag Care Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-21 Completed Date: 2010-11-03 Revised Date: 2012-03-19 |
Medline Journal Info:
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Nlm Unique ID: 9613960 Medline TA: Am J Manag Care Country: United States |
Other Details:
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Languages: eng Pagination: 497-503 Citation Subset: H |
Affiliation:
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RAND Health, 4570 Fifth Ave, Ste 600, Pittsburgh, PA 15213-2665, USA. mehrotra@rand.org |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Behavior* Medicare Models, Economic Quality Assurance, Health Care / economics* Reimbursement, Incentive* United States |
| Grant Support | |
ID/Acronym/Agency:
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KL2 RR024154-04/RR/NCRR NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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