Literature DB >> 23650329

Policy makers will need a way to update bundled payments that reflects highly skewed spending growth of various care episodes.

Allison B Rosen1, Ana Aizcorbe, Alexander J Ryu, Nicole Nestoriak, David M Cutler, Michael E Chernew.   

Abstract

Bundled payment entails paying a single price for all services delivered as part of an episode of care for a specific condition. It is seen as a promising way to slow the growth of health care spending while maintaining or improving the quality of care. To implement bundled payment, policy makers must set base payment rates for episodes of care and update the rates over time to reflect changes in the costs of delivering care and the components of care. Adopting the fee-for-service paradigm of adjusting payments with uniform update rates would be fair and accurate if costs increased at a uniform rate across episodes. But our analysis of 2003 and 2007 US commercial claims data showed spending growth to be highly skewed across episodes: 10 percent of episodes accounted for 82.5 percent of spending growth, and within-episode spending growth ranged from a decline of 75 percent to an increase of 323 percent. Given that spending growth was much faster for some episodes than for others, a situation known as skewness, policy makers should not update episode payments using uniform update rates. Rather, they should explore ways to address variations in spending growth, such as updating episode payments one by one, at least at the outset.

Entities:  

Keywords:  Health Economics

Mesh:

Year:  2013        PMID: 23650329      PMCID: PMC4492307          DOI: 10.1377/hlthaff.2012.1246

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  3 in total

1.  The PROMETHEUS bundled payment experiment: slow start shows problems in implementing new payment models.

Authors:  Peter S Hussey; M Susan Ridgely; Meredith B Rosenthal
Journal:  Health Aff (Millwood)       Date:  2011-11       Impact factor: 6.301

2.  The primary care-specialty income gap: why it matters.

Authors:  Thomas Bodenheimer; Robert A Berenson; Paul Rudolf
Journal:  Ann Intern Med       Date:  2007-02-20       Impact factor: 25.391

3.  Continuous innovation in health care: implications of the Geisinger experience.

Authors:  Ronald A Paulus; Karen Davis; Glenn D Steele
Journal:  Health Aff (Millwood)       Date:  2008 Sep-Oct       Impact factor: 6.301

  3 in total
  3 in total

Review 1.  Adjusting Health Expenditures for Inflation: A Review of Measures for Health Services Research in the United States.

Authors:  Abe Dunn; Scott D Grosse; Samuel H Zuvekas
Journal:  Health Serv Res       Date:  2016-11-21       Impact factor: 3.402

2.  Guidelines for Measuring Disease Episodes: An Analysis of the Effects on the Components of Expenditure Growth.

Authors:  Abe Dunn; Eli Liebman; Lindsey Rittmueller; Adam Hale Shapiro
Journal:  Health Serv Res       Date:  2016-05-03       Impact factor: 3.402

3.  Traditional Medicare Spending on Inpatient Episodes as Hospitalizations Decline.

Authors:  Laura M Keohane; Sunil Kripalani; Melinda B Buntin
Journal:  J Hosp Med       Date:  2021-11       Impact factor: 2.960

  3 in total

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