Preference Paths and Their Kaizen Tasks for Small Samples.
Background: Stated preference research currently lacks a form of evidence that is well suited for small samples. A preference path is a sequence of two or more choices showing the evolution of an object following an adaptive process. Objectives: The aims were to introduce preference paths and their...
| Publicado en: | Patient Vol. 15; no. 2; pp. 187 - 197 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155396977&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155396977 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11781653 91S4 jtl: Patient issn: 11781653 maglogo: N pubinfo: dt: Mar2022 vid: 15 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 155396977 151642105 155396977 155396977 10.1007/s40271-021-00541-z 155396977 ppf: 187 ppct: 10 formats: tig: atl: Preference Paths and Their Kaizen Tasks for Small Samples. aug: au: Craig, Benjamin Matthew Rand, Kim Hartman, John D. affil: Department of Economics, University of South Florida, Tampa, Florida, USA sug: subj: Decision Making Task Performance and Analysis Behavioral Changes Patient Preference Human Quality-Adjusted Life Years Interviews Adaptation, Psychological Games Attitude to Death Convenience Sample ab: Background: Stated preference research currently lacks a form of evidence that is well suited for small samples. A preference path is a sequence of two or more choices showing the evolution of an object following an adaptive process. Objectives: The aims were to introduce preference paths and their kaizen tasks and to demonstrate how to analyze their evidence using a small sample. Methods: Twenty respondents were assigned the same 16 profiles generated from an orthogonal array based on the five attributes of the EQ-5D-5L descriptive system. Each kaizen task began with an opt-out paired comparison (i.e., choosing between the initial 10-year profile and the opt-out "dying immediately"), followed by choosing three changes, and ended with a second paired comparison (final profile versus opt-out) if the respondent chose opt-out initially. By maximum likelihood with respondent clusters, we estimated the 20 main effects using conditional logit and Zermelo–Bradley–Terry (ZBT) specifications. Results: Apart from demonstrating heterogeneity and profile effects, all main effect estimates were non-negative, and most were significant (15 for logit and all 20 for ZBT; p value < 0.05). Under the logit and ZBT specifications, the value of the worst EQ-5D-5L profile (55555) is − 0.920 quality-adjusted life years (QALYs) or − 1.478 QALYs, respectively. Furthermore, the findings illustrate a log-linear relationship between the logit and ZBT main effects. Conclusion: This paper demonstrates the feasibility of a stated-preference study that estimates 20 main effects using path evidence from 20 respondents (16 kaizen tasks, 15-min interviews). This approach shows promise for future application in stated-preference research, particularly in small samples. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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