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

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Abstract

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. Survey of 4310 adults with nursing home experience (residents or family members of a resident) administered between September 25 and October 9, 2017. 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. Web‐based survey. 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. Contingent valuation method has promise as a method for deriving weights for use in summary measures that incorporate consumer preferences.

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The Advent of Internet Surveys for Political Research: A Comparison of Telephone and Internet Samples

Alok K Bohara, Robert Berrens, David L Weimer … (2003)

The Internet offers a number of advantages as a survey mode: low marginal cost per completed response, capabilities for providing respondents with large quantities of information, speed, and elimination of interviewer bias. Those seeking these advantages confront the problem of representativeness both in terms of coverage of the population and capabilities for drawing random samples. Two major strategies have been pursued commercially to develop the Internet as a survey mode. One strategy, used by Harris Interactive, involves assembling a large panel of willing respondents who can be sampled. Another strategy, used by Knowledge Networks, involves using random digit dialing (RDD) telephone methods to recruit households to a panel of Web-TV enabled respondents. Do these panels adequately deal with the problem of representativeness to be useful in political science research? The authors address this question with results from parallel surveys on global climate change and the Kyoto Protocol administered by telephone to a national probability sample and by Internet to samples of the Harris Interactive and Knowledge Networks panels. Knowledge and opinion questions generally show statistically significant but substantively modest difference across the modes. With inclusion of standard demographic controls, typical relational models of interest to political scientists produce similar estimates of parameters across modes. It thus appears that, with appropriate weighting, samples from these panels are sufficiently representative of the U.S. population to be reasonable alternatives in many applications to samples gathered through RDD telephone surveys.