Quality-of-Life Assessment When There Is a Loss of Income

John Myers, Steven McCabe and Stephan Gohmann
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John Myers: Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut, Department of Bioinformatics and Biostatistics, University of Louisville, Kentucky, john.myers@louisville.edu
Steven McCabe: Department of Bioinformatics and Biostatistics, University of Louisville, Kentucky
Stephan Gohmann: School of Business, Department of Economics, University of Louisville, Kentucky

Medical Decision Making, 2007, vol. 27, issue 1, 27-33

Abstract: Purpose. The current study aims to provide the first empirical evidence demonstrating whether people automatically consider morbidity costs when assessing the quality of life for a health state. Methods. One hundred eighty-one undergraduate students were randomly assigned to 1 of 2 groups: 1) those participants who were not informed of morbidity costs and 2) those participants who were informed of morbidity costs. Students were asked to read a description of a health state and to assign an assessment of quality of life for the health state described by the use of the paper standard gamble. Results. The overall mean quality of life for the informed group was significantly lower than that of the uninformed group (P

Keywords: cost-effectiveness; decision analysis; productivity costs (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:27:y:2007:i:1:p:27-33

DOI: 10.1177/0272989X06297100

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