Literature DB >> 26932527

An Evaluation of Performance Thresholds in Nursing Home Pay-for-Performance.

Rachel M Werner1,2, Meghan Skira3, R Tamara Konetzka4.   

Abstract

OBJECTIVE: Performance thresholds are commonly used in pay-for-performance (P4P) incentives, where providers receive a bonus payment for achieving a prespecified target threshold but may produce discontinuous incentives, with providers just below the threshold having the strongest incentive to improve and providers either far below or above the threshold having little incentive. We investigate the effect of performance thresholds on provider response in the setting of nursing home P4P. DATA SOURCES: The Minimum Data Set (MDS) and Online Survey, Certification, and Reporting (OSCAR) datasets. STUDY SETTING AND
DESIGN: Difference-in-differences design to test for changes in nursing home performance in three states that implemented threshold-based P4P (Colorado, Georgia, and Oklahoma) versus three comparator states (Arizona, Tennessee, and Arkansas) between 2006 and 2009. PRINCIPAL
FINDINGS: We find that those farthest below the threshold (i.e., the worst-performing nursing homes) had the largest improvements under threshold-based P4P while those farthest above the threshold worsened. This effect did not vary with the percentage of Medicaid residents in a nursing home.
CONCLUSIONS: Threshold-based P4P may provide perverse incentives for nursing homes above the performance threshold, but we do not find evidence to support concerns about the effects of performance thresholds on low-performing nursing homes. © Health Research and Educational Trust.

Entities:  

Keywords:  Performance-based thresholds; long-term care; nursing home quality; pay-for-performance; quality of care

Mesh:

Year:  2016        PMID: 26932527      PMCID: PMC5134156          DOI: 10.1111/1475-6773.12467

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  16 in total

1.  Study shows higher quality of care in facilities administered by ACHCA members.

Authors:  N G Castle; B S Fogel; V Mor
Journal:  J Long Term Care Adm       Date:  1996

2.  Changes in the relationship between nursing home financial performance and quality of care under public reporting.

Authors:  Jeongyoung Park; Rachel M Werner
Journal:  Health Econ       Date:  2011-07       Impact factor: 3.046

3.  Early experience with pay-for-performance: from concept to practice.

Authors:  Meredith B Rosenthal; Richard G Frank; Zhonghe Li; Arnold M Epstein
Journal:  JAMA       Date:  2005-10-12       Impact factor: 56.272

4.  Medicaid nursing home payment and the role of provider taxes.

Authors:  David C Grabowski; Vincent Mor
Journal:  Med Care Res Rev       Date:  2008-03-27       Impact factor: 3.929

5.  Can you get what you pay for? Pay-for-performance and the quality of healthcare providers.

Authors:  Kathleen J Mullen; Richard G Frank; Meredith B Rosenthal
Journal:  Rand J Econ       Date:  2010

6.  Changes in hospitalization associated with introducing the Resident Assessment Instrument.

Authors:  V Mor; O Intrator; B E Fries; C Phillips; J Teno; J Hiris; C Hawes; J Morris
Journal:  J Am Geriatr Soc       Date:  1997-08       Impact factor: 5.562

Review 7.  Mental illness and nursing home reform: OBRA-87 ten years later. Omnibus Budget Reconciliation Act.

Authors:  M Snowden; P Roy-Byrne
Journal:  Psychiatr Serv       Date:  1998-02       Impact factor: 3.084

8.  Putting smart money to work for quality improvement.

Authors:  Nancy Dean Beaulieu; Dennis R Horrigan
Journal:  Health Serv Res       Date:  2005-10       Impact factor: 3.402

9.  Changes in antipsychotic drug use in nursing homes during implementation of the OBRA-87 regulations.

Authors:  R I Shorr; R L Fought; W A Ray
Journal:  JAMA       Date:  1994-02-02       Impact factor: 56.272

10.  The effect of pay-for-performance in nursing homes: evidence from state Medicaid programs.

Authors:  Rachel M Werner; R Tamara Konetzka; Daniel Polsky
Journal:  Health Serv Res       Date:  2013-02-10       Impact factor: 3.402

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  2 in total

1.  Long-Term Nursing Home Entry: A Prognostic Model for Older Adults with a Family or Unpaid Caregiver.

Authors:  Jennifer L Wolff; John Mulcahy; David L Roth; Irena S Cenzer; Judith D Kasper; Jin Huang; Kenneth E Covinsky
Journal:  J Am Geriatr Soc       Date:  2018-08-09       Impact factor: 5.562

2.  Is a Skilled Nursing Facility's Rehospitalization Rate a Valid Quality Measure?

Authors:  Momotazur Rahman; David C Grabowski; Vincent Mor; Edward C Norton
Journal:  Health Serv Res       Date:  2016-10-21       Impact factor: 3.402

  2 in total

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