biostudies-literatureWeimer DLNIA NIH HHSNational Institutes of HealthNIH HHS947-956https://www.ebi.ac.uk/biostudies/studies/S-EPMC6606546biostudies-literatureUnknown54(4)<h4>Objective</h4>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.<h4>Data sources</h4>Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017.<h4>Study design</h4>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 changHealth services researchUsing contingent valuation to develop consumer-based weights for health quality report cards.PMC6606546R01 AG049705Saliba DMukamel DBWeimer DLLadd HShi YfalseUsing contingent valuation to develop consumer-based weights for health quality report cards.<h4>Objective</h4>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.<h4>Data sources</h4>Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017.<h4>Study design</h4>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 chang2019-01-01T00:00:00Z2019 Aug2025-04-29T10:31:40.032Z2025-04-06T19:30:35.835ZS-EPMC66065463101210710.1111/1475-6773.13155