ArticleMedical decision making : an international journal of the Society for Medical Decision Making2023
Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment.PharmacoEconomics · 2021Trial
- Stated preferences in the Iranian health system: a systematic review of discrete choice experiments and conjoint analysis.Health economics review · 2026Review
- Is There Any Difference in Preferences Between Patients and Physicians? Evidence From Anti-Hyperglycemic Medications Choices for Type 2 Diabetes.Journal of diabetes · 2026Article
- An Overview of Data Collection in Health Preference Research.The patient · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDiscrete choice experiments (DCE) are increasingly being conducted using online panels. However, the comparability of such DCE-based preferences to traditional modes of data collection (e.g., in-person) is not well established. In this study, supervised, face-to-face DCE was compared with its unsupervised, online facsimile on face validity, respondent behavior, and modeled preferences.
methodsData from face-to-face and online EQ-5D-5L health state valuation studies were compared, in which each used the same experimental design and quota sampling procedure. Respondents completed 7 binary DCE tasks comparing 2 EQ-5D-5L health states presented side by side (health states A and B). Data face validity was assessed by comparing preference patterns as a function of the severity difference between 2 health states within a task. The prevalence of potentially suspicious choice patterns (i.e., all As, all Bs, and alternating As/Bs) was compared between studies. Preference data were modeled using multinomial logit regression and compared based on dimensional contribution to overall scale and importance ranking of dimension-levels.
resultsOne thousand five Online respondents and 1,099 face-to-face screened (F2F DISCUSSION: Although assessments of face validity were similar between Online and F2F
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