The Performance of Kaizen Tasks Across Three Online Discrete Choice Experiment Surveys: An Evidence Synthesis.
Background: Kaizen is a Japanese term for continuous improvement (kai ~ change, zen ~ good). In a kaizen task, a respondent makes sequential choices to improve an object's profile, revealing a preference path. Including kaizen tasks in a discrete choice experiment has the advantage of collecting gre...
| Publicado en: | Patient Vol. 17; no. 6; pp. 635 - 645 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2024
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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=180153838&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180153838 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11781653 91S4 jtl: Patient issn: 11781653 maglogo: N pubinfo: dt: Nov2024 vid: 17 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 180153838 180153838 180153838 10.1007/s40271-024-00708-4 180153838 ppf: 635 ppct: 10 formats: tig: atl: The Performance of Kaizen Tasks Across Three Online Discrete Choice Experiment Surveys: An Evidence Synthesis. aug: au: Craig, Benjamin Matthew Jumamyradov, Maksat Rivero-Arias, Oliver affil: https://ror.org/032db5x82 Department of Economics, University of South Florida, 4202 E. Fowler Avenue, CMC206A33620, Tampa, FL, USA sug: subj: COVID-19 Vaccines Administration and Dosage COVID-19 Prevention and Control Decision Making Immunization Immunization Programs Task Performance and Analysis Human Funding Source Male Female United Kingdom United States Questionnaires Patient Preference Measurement Error Standards Validity Toluene Descriptive Statistics Comparative Studies Chi Square Test T-Tests Odds Ratio Confidence Intervals Male Female ab: Background: Kaizen is a Japanese term for continuous improvement (kai ~ change, zen ~ good). In a kaizen task, a respondent makes sequential choices to improve an object's profile, revealing a preference path. Including kaizen tasks in a discrete choice experiment has the advantage of collecting greater preference evidence than pick-one tasks, such as paired comparisons. Objective and Methods: So far, three online discrete choice experiments have included kaizen tasks: the 2020 US COVID-19 vaccination (CVP) study, the 2021 UK Children's Surgery Outcome Reporting (CSOR) study, and the 2023 US EQ-5D-Y-3L valuation (Y-3L) study. In this evidence synthesis, we describe the performance of the kaizen tasks in terms of response behaviors, conditional logit and Zermelo–Bradley–Terry (ZBT) estimates, and their standard errors in each of the surveys. Results: Comparing the CVP and Y-3L, including hold-outs (i.e., attributes shared by all alternatives) seems to reduce positional behavior by half. The CVP tasks excluded multi-level improvements; therefore, we could not estimate logit main effects directly. In the CSOR, only 12 of the 21 logit estimates are significantly positive (p < 0.05), possibly due to the fixed attribute order. All Y-3L estimates are significantly positive, and their predictions are highly correlated (Pearson: logit 0.802, ZBT 0.882) and strongly agree (Lin: logit 0.744, ZBT 0.852) with the paired-comparison probabilities. Conclusions: These discrete choice experiments offer important lessons for future studies: (1) include warm-up tasks, hold-outs, and multi-level improvements; (2) randomize the attribute order (i.e., up-down) at the respondent level; and (3) recruit smaller samples of respondents than traditional discrete choice experiments with only pick-one tasks. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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