ReviewThe patient2015
Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide.
Review in The patient, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05449561 (Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression), which is not on this map. Cited by 460 papers, 3 of them syntheses that pooled it.
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.
Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression: Using Discrete Choice Experiment to Advance Future Service Implementation
Who cites it
460 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Preferences, attitudes and views regarding genetic newborn screening (gNBS) for rare diseases: a systematic review of the literature and synthesis from 2009 to 2022.Orphanet journal of rare diseases · 2026Pooled it
- Discrete Choice Experiments and Conjoint Analyses in Health Screening Programs for Type 2 Diabetes and Liver Disease: A Scoping Review.Canadian liver journal · 2025Pooled it
- A systematic review of condition-specific preference-based measures used in young people and their valuation methods.Journal of patient-reported outcomes · 2024Pooled it
- The Influence of Perspective on the Valuation of the EQ-5D-Y-3L: A Comparison Using the OPUF Tool and a Discrete Choice Experiment.PharmacoEconomics · 2026Trial
- Decoding patient preferences: key drivers in selecting thyroid cancer surgery- a discrete choice experiment.Frontiers in endocrinology · 2026Trial
- Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment.The patient · 2025Trial
- The Design of a Patient-Centered Hierarchal Composite Outcome for a Multi-Center Randomized Controlled Trial in Metastatic Bone Disease.Current oncology (Toronto, Ont.) · 2025Trial
- Treatment preferences in Waldenström macroglobulinemia: an international discrete choice experiment in 1455 patients.Blood neoplasia · 2026Article
- Caregiver Preferences for AI-Supported Telemedicine in Pediatric Palliative Care: A Discrete Choice Experiment.Journal of palliative care · 2026Article
- Making nursing a better place: a discrete choice experiment to elicit the job preferences of early-career nurses in England.BMJ open · 2026Article
- Residents' preference trade-offs for critical illness insurance scheme design: a discrete choice experiment in Shandong Province, China.Health policy and planning · 2026Article
- Preferences for Video Consultations in Family Health Stations: A Discrete Choice Experiment Among Ultra-Orthodox Jewish Women.The patient · 2026Article
- Understanding moral trade-offs in pandemic response: A discrete choice experiment on avian influenza policies.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- Preference for supplementary voluntary health insurance and heterogeneity in China: a discrete choice experiment.Health policy and planning · 2026Article
- Treatment Preferences for Relapsed/Refractory Mantle Cell Lymphoma Among Patients and Physicians in China: A Discrete Choice Experiment.The patient · 2026Article
- Parent and Adolescent Preferences for Online Youth Mental Health Support Programs: A Discrete Choice Experiment.The patient · 2026Article
- What Drives Public Preference for Rare Drugs Coverage in China? Insights From a Multi-Center Discrete Choice Experiment.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- Data on the stated willingness to accept collective agri-environmental schemes for biodiversity conservation of European grassland farmers.Data in brief · 2026Article
- Beyond the Average: Modeling Individual-Specific Preferences for Ulcerative Colitis Surgery.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2026Article
- Article
400 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions. An important question when setting up a DCE is the size of the sample needed to answer the research question of interest. Although theory exists as to the calculation of sample size requirements for stated choice data, it does not address the issue of minimum sample size requirements in terms of the statistical power of hypothesis tests on the estimated coefficients. The purpose of this paper is threefold: (1) to provide insight into whether and how researchers have dealt with sample size calculations for healthcare-related DCE studies; (2) to introduce and explain the required sample size for parameter estimates in DCEs; and (3) to provide a step-by-step guide for the calculation of the minimum sample size requirements for DCEs in health care.
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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.