Literature DB >> 31012107

Using contingent valuation to develop consumer-based weights for health quality report cards.

David L Weimer1, Debra Saliba2,3,4, Heather Ladd5, Yuxi Shi5, Dana B Mukamel5.   

Abstract

OBJECTIVE: The current 5-Star composite measure for nursing homes uses expert-driven weights to combine elements of quality into a single score. We assessed the feasibility of using the contingent valuation method (CVM) to derive consumers' preference-based weights for the Nursing Home Compare report card as a potential alternative approach. DATA SOURCES: Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017. STUDY
DESIGN: Contingent valuation method based on respondents' answers to questions about willingness-to-trade (WTT) visit travel time for better quality in seven quantitative indices included in Nursing Home Compare. We calculated WTT amounts per standard deviation change in quantitative indices to derive weights. DATA COLLECTION
METHODS: Web-based survey. PRINCIPAL
FINDINGS: Contingent valuation method results are consistent with respondents making economically rational trade-offs between quality and travel time. Estimates of mean WTT vary across quantitative quality indices. They also vary in terms of respondent status and behavioral factors. Weights based on mean WTT per standard deviation vary substantially across indices, with the largest weights for inspections and staffing.
CONCLUSIONS: Contingent valuation method has promise as a method for deriving weights for use in summary measures that incorporate consumer preferences. © Health Research and Educational Trust.

Keywords:  Nursing Home Compare; contingent valuation method; quality report card; star ratings; willingness-to-trade time

Mesh:

Year:  2019        PMID: 31012107      PMCID: PMC6606546          DOI: 10.1111/1475-6773.13155

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


  8 in total

Review 1.  Are QALYs based on time trade-off comparable?--A systematic review of TTO methodologies.

Authors:  Trude Arnesen; Mari Trommald
Journal:  Health Econ       Date:  2005-01       Impact factor: 3.046

2.  Using contingent valuation to develop consumer-based weights for health quality report cards.

Authors:  David L Weimer; Debra Saliba; Heather Ladd; Yuxi Shi; Dana B Mukamel
Journal:  Health Serv Res       Date:  2019-04-22       Impact factor: 3.402

3.  The Nursing Home Five Star Rating: How Does It Compare to Resident and Family Views of Care?

Authors:  Anthony Williams; Jane K Straker; Robert Applebaum
Journal:  Gerontologist       Date:  2014-05-21

4.  Reputations count: why benchmarking performance is improving health care across the world.

Authors:  Gwyn Bevan; Alice Evans; Sabina Nuti
Journal:  Health Econ Policy Law       Date:  2018-03-16

5.  Personalizing Nursing Home Compare and the Discharge from Hospitals to Nursing Homes.

Authors:  Dana B Mukamel; Alpesh Amin; David L Weimer; Heather Ladd; Joseph Sharit; Ran Schwarzkopf; Dara H Sorkin
Journal:  Health Serv Res       Date:  2016-10-24       Impact factor: 3.402

6.  Rationale and study protocol for the Nursing Home Compare Plus (NHCPlus) randomized controlled trial: A personalized decision aid for patients transitioning from the hospital to a skilled-nursing facility.

Authors:  Dara H Sorkin; Alpesh Amin; David L Weimer; Joseph Sharit; Heather Ladd; Dana B Mukamel
Journal:  Contemp Clin Trials       Date:  2016-01-07       Impact factor: 2.226

7.  When Patients Customize Nursing Home Ratings, Choices And Rankings Differ From The Government's Version.

Authors:  Dana B Mukamel; Alpesh Amin; David L Weimer; Joseph Sharit; Heather Ladd; Dara H Sorkin
Journal:  Health Aff (Millwood)       Date:  2016-04       Impact factor: 6.301

8.  Changes in Consumer Demand Following Public Reporting of Summary Quality Ratings: An Evaluation in Nursing Homes.

Authors:  Rachel M Werner; R Tamara Konetzka; Daniel Polsky
Journal:  Health Serv Res       Date:  2016-02-11       Impact factor: 3.734

  8 in total
  3 in total

1.  Using contingent valuation to develop consumer-based weights for health quality report cards.

Authors:  David L Weimer; Debra Saliba; Heather Ladd; Yuxi Shi; Dana B Mukamel
Journal:  Health Serv Res       Date:  2019-04-22       Impact factor: 3.402

2.  Families' and Residents' Perspectives of the Quality of Nursing Home Care: Implications for Composite Quality Measures.

Authors:  Dana B Mukamel; Debra Saliba; David L Weimer; Heather Ladd
Journal:  J Am Med Dir Assoc       Date:  2020-11-20       Impact factor: 7.802

3.  Comparison of Consumer Rankings With Centers for Medicare & Medicaid Services Five-Star Rankings of Nursing Homes.

Authors:  Dana B Mukamel; David L Weimer; Yuxi Shi; Heather Ladd; Debra Saliba
Journal:  JAMA Netw Open       Date:  2020-05-01
  3 in total

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