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Using contingent valuation to develop consumer‐based weights for health quality report cards
Author(s) -
Weimer David L.,
Saliba Debra,
Ladd Heather,
Shi Yuxi,
Mukamel Dana B.
Publication year - 2019
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.13155
Subject(s) - contingent valuation , respondent , valuation (finance) , actuarial science , time trade off , standard deviation , willingness to pay , statistics , computer science , medicine , mathematics , economics , nursing , quality of life (healthcare) , finance , microeconomics , political science , law
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.