ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018
An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Pretesting Discrete-Choice Experiments: A Guide for Researchers.The patient · 2024Article
- Article
- Use of a quantitative data report in a hypothetical decision scenario for health policymaking: a computer-assisted laboratory study.BMC medical informatics and decision making · 2021Article
- Opening the 'Black Box': An Overview of Methods to Investigate the Decision-Making Process in Choice-Based Surveys.The patient · 2020Review
- Using discrete choice model to elicit preference for health-care priority setting.Journal of education and health promotion · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDiscrete choice experiments (DCEs) are increasingly used to elicit preferences for benefit-risk tradeoffs. The primary aim of this study was to explore how eye-tracking methods can be used to understand DCE respondents' decision-making strategies. A secondary aim was to explore if the presentation and communication of risk affected respondents' choices.
methodTwo versions of a DCE were designed to understand the preferences of female members of the public for breast screening that varied in how risk attributes were presented. Risk was communicated as either 1) percentages or 2) icon arrays and percentages. Eye-tracking equipment recorded eye movements 1000 times a second. A debriefing survey collected sociodemographics and self-reported attribute nonattendance (ANA) data. A heteroskedastic conditional logit model analyzed DCE data. Eye-tracking data on pupil size, direction of motion, and total visual attention (dwell time) to predefined areas of interest were analyzed using ordinary least squares regressions.
resultsForty women completed the DCE with eye-tracking. There was no statistically significant difference in attention (fixations) to attributes between the risk communication formats. Respondents completing either version of the DCE with the alternatives presented in columns made more horizontal (left-right) saccades than vertical (up-down). Eye-tracking data confirmed self-reported ANA to the risk attributes with a 40% reduction in mean dwell time to the "probability of detecting a cancer" ( P = 0.001) and a 25% reduction to the "risk of unnecessary follow-up" ( P = 0.008).
conclusionThis study is one of the first to show how eye-tracking can be used to understand responses to a health care DCE and highlighted the potential impact of risk communication on respondents' decision-making strategies. The results suggested self-reported ANA to cost attributes may not be reliable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.