Can healthcare choice be predicted using stated preference data?
Lack of evidence about the external validity of Discrete Choice Experiments (DCEs)-sourced preferences inhibits greater use of DCEs in healthcare decision-making. This study examines the external validity of such preferences, unravels its determinants, and provides evidence of whether healthcare choice is predictable. We focused on influenza vaccination and used a six-step approach: i) literature study, ii) expert interviews, iii) focus groups, iv) survey including a DCE, v) field data, and vi) in-depth interviews with respondents who showed discordance between stated choices and actual health... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Schlagwörter: | Discrete choice experiment / External validity / Healthcare choice / Netherlands / Prediction / Stated choices |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28785847 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://repub.eur.nl/pub/122951 |
Lack of evidence about the external validity of Discrete Choice Experiments (DCEs)-sourced preferences inhibits greater use of DCEs in healthcare decision-making. This study examines the external validity of such preferences, unravels its determinants, and provides evidence of whether healthcare choice is predictable. We focused on influenza vaccination and used a six-step approach: i) literature study, ii) expert interviews, iii) focus groups, iv) survey including a DCE, v) field data, and vi) in-depth interviews with respondents who showed discordance between stated choices and actual healthcare utilization. Respondents without missing values in the survey and the actual healthcare utilization (377/499 = 76%) were included in the analyses. Random-utility-maximization and random-regret-minimization models were used to analyze the DCE data, whereas the in-depth interviews combined five scientific theories to explain discordance. W