Damien S E Broekharst, Sjaak Bloem, Robert J Blomme, Edward A G Groenland, Patrick P T Jeurissen, Michel van Agthoven
{"title":"Deploying Experienced Utility in Health Economic Evaluation: A Quantitative Study.","authors":"Damien S E Broekharst, Sjaak Bloem, Robert J Blomme, Edward A G Groenland, Patrick P T Jeurissen, Michel van Agthoven","doi":"10.3390/jmahp13030043","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Expected utility has been deployed in order to predict health behaviour in health economic evaluation. However, only limited variance in health behaviour is explained by this construct. This limited explained variance is often attributed to the dubious foundational postulates underlying the construct (e.g., absolute rationality, complete information, fixed preferences). Due to these limitations it has been hypothesized that substituting or complementing expected utility with experienced utility may enhance predictions of health behaviour. As this hypothesis has not yet been subjected to empirical scrutiny, this study examines if deployment of experienced utility or expected utility and experienced utility combined enhances predictions of health behaviour relative to expected utility separately.</p><p><strong>Methods: </strong>Online questionnaires were distributed across a panel of Dutch citizens (N = 2550). The questionnaire includes items and scales on sample characteristics, expected utility, experienced utility and health behaviour. Data analysis was conducted by employing descriptive, reliability, validity and model statistics.</p><p><strong>Results: </strong>Experienced utility has a significant direct effect on health behaviour that is stronger than expected utility. Experienced utility also explains more variance in health behaviour than expected utility. Expected utility and experienced utility combined have a significant direct and indirect effect on health behaviour that is stronger than each type of utility separately. Expected utility and experienced utility combined also explain more variance in health behaviour than each type of utility separately.</p><p><strong>Conclusions: </strong>Deploying experienced utility separately or in combination with expected utility in health economic evaluation seems pertinent as it has considerable impact on health behaviour and may provide health economists with an even sturdier foundation for conducting health economic evaluation.</p>","PeriodicalId":73811,"journal":{"name":"Journal of market access & health policy","volume":"13 3","pages":"43"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12452304/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of market access & health policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jmahp13030043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
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Abstract
Background: Expected utility has been deployed in order to predict health behaviour in health economic evaluation. However, only limited variance in health behaviour is explained by this construct. This limited explained variance is often attributed to the dubious foundational postulates underlying the construct (e.g., absolute rationality, complete information, fixed preferences). Due to these limitations it has been hypothesized that substituting or complementing expected utility with experienced utility may enhance predictions of health behaviour. As this hypothesis has not yet been subjected to empirical scrutiny, this study examines if deployment of experienced utility or expected utility and experienced utility combined enhances predictions of health behaviour relative to expected utility separately.
Methods: Online questionnaires were distributed across a panel of Dutch citizens (N = 2550). The questionnaire includes items and scales on sample characteristics, expected utility, experienced utility and health behaviour. Data analysis was conducted by employing descriptive, reliability, validity and model statistics.
Results: Experienced utility has a significant direct effect on health behaviour that is stronger than expected utility. Experienced utility also explains more variance in health behaviour than expected utility. Expected utility and experienced utility combined have a significant direct and indirect effect on health behaviour that is stronger than each type of utility separately. Expected utility and experienced utility combined also explain more variance in health behaviour than each type of utility separately.
Conclusions: Deploying experienced utility separately or in combination with expected utility in health economic evaluation seems pertinent as it has considerable impact on health behaviour and may provide health economists with an even sturdier foundation for conducting health economic evaluation.
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