ArticleThe patient2023
Taking the Shortcut: Simplifying Heuristics in Discrete Choice Experiments.
Article in The patient, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
- Severity or Incidence: Labeling Side-Effect Attributes in Discrete Choice Experiments.The patient · 2026Article
- Sociodemographic and Health-Risk Determinants of COVID-19 Vaccine Booster Preferences and Willingness to Pay in Singapore: Discrete Choice Experiment.Interactive journal of medical research · 2026Article
- Public Preferences and Willingness to Pay for a Multidisciplinary Colorectal and Pelvic Reconstruction Service.The patient · 2026Article
- Preferences for rapid implementation science: a real-time discrete choice experiment.Implementation science communications · 2026Article
- Guidance or Misdirection? Unpacking the Role of Feedback in Health Preference Assessments.Health economics · 2026Article
- How do patients with primary hypertension assess different endpoints of their treatment? a survey using analytic hierarchy process.Journal of human hypertension · 2026Article
- Snack preferences among school-aged children: evidence from discrete choice experiments.BMC public health · 2026Article
- Preoperative information needs and preferences of refractive surgery patients: a discrete choice experiment.Frontiers in medicine · 2026Article
- Test-retest reliability of the Online Elicitation of Personal Utility Functions (OPUF) approach for valuing the EQ-HWB-S.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- What Can Discrete-Choice Experiments Tell Us about Patient Preferences? An Introduction to Quantitative Analysis of Choice Data.The patient · 2025Article
- Identifying and Managing Fraudulent Respondents in Online Stated Preferences Surveys: A Case Example from Best-Worst Scaling in Health Preferences Research.The patient · 2025Article
- Preferences for Nonpharmaceutical Interventions During the Endemic Phase of COVID-19: Discrete Choice Experiment.JMIR public health and surveillance · 2025Article
- Stated-Preference Survey Design and Testing in Health Applications.The patient · 2025Article
- Article
- Making Use of Technology to Improve Stated Preference Studies.The patient · 2024Review
- Advancing Colorectal Cancer Detection With Blood-Based Tests: Qualitative Study and Discrete Choice Experiment to Elicit Population Preferences.JMIR public health and surveillance · 2024Article
- Exploring the Factors that Drive Clinical Negligence Claims: Stated Preferences of Those Who Have Experienced Unintended Harm.The patient · 2024Article
- Patient preferences for inflammatory bowel disease treatments: protocol development of a global preference survey using a discrete choice experiment.Frontiers in medicine · 2024Article
- Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment.Patient preference and adherence · 2024Article
- Prognostic Information on Progression to Dementia: Quantification of the Impact on Quality of Life.Journal of Alzheimer's disease : JAD · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Health-related discrete choice experiments (DCEs) information can be used to inform decision-making on the development, authorisation, reimbursement and marketing of drugs and devices as well as treatments in clinical practice. Discrete choice experiment is a stated preference method based on random utility theory (RUT), which imposes strong assumptions on respondent choice behaviour. However, respondents may use choice processes that do not adhere to the normative rationality assumptions implied by RUT, applying simplifying decision rules that are more selective in the amount and type of processed information (i.e., simplifying heuristics). An overview of commonly detected simplifying heuristics in health-related DCEs is lacking, making it unclear how to identify and deal with these heuristics; more specifically, how researchers might alter DCE design and modelling strategies to accommodate for the effects of heuristics. Therefore, the aim of this paper is three-fold: (1) provide an overview of common simplifying heuristics in health-related DCEs, (2) describe how choice task design and context as well as target population selection might impact the use of heuristics, (3) outline DCE design strategies that recognise the use of simplifying heuristics and develop modelling strategies to demonstrate the detection and impact of simplifying heuristics in DCE study outcomes.
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What OpenQuestion holds
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.