ArticleBMC health services research2022
Do patients' preferences prevail in hospital selection?: a comparison between discrete choice experiments and revealed hospital choice.
Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Switching for the better? understanding how contextual conditions influence patients' choice of primary care provider.BMC health services research · 2026Article
- Urban residents' choice preferences for hospitals at different tiers and influencing factors: a study based on latent class analysis and Andersen's model of health service utilization.BMC primary care · 2026Article
- Factors Influencing Healthcare-Seeking Preferences Among Patients in County Medical Consortium in China: A Discrete Choice Experiment.Patient preference and adherence · 2026Article
- Transportation-related factors, cancer screening, and stage at diagnosis: A scoping review.PloS one · 2026Article
- Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysis.EClinicalMedicine · 2025Article
- Reallocation of chemotherapy appointments in a large health system using a mixed integer linear programming approach.Health systems (Basingstoke, England) · 2025Article
- Preferences for Biologic Treatments: A Discrete Choice Experiment Survey of Canadians with Severe Asthma.Patient preference and adherence · 2025Article
- The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments.The European journal of health economics : HEPAC : health economics in prevention and care · 2024Article
- Dynamic resectorization to improve utility of healthcare systems.Journal of health, population, and nutrition · 2024Article
- Choosing a maternity hospital: a matter of travel distance or quality of care?Research in health services & regions · 2024Article
- What do Iranians value most when choosing a hospital? Evidence from a discrete choice experiment.PloS one · 2024Article
- Who Serves Where: A Geospatial Analysis of Access to Endocrine Surgeons in the United States and Puerto Rico.Surgery · 2024Article
- Preferences of patients with diabetes mellitus for primary healthcare institutions: a discrete choice experiment in China.BMJ open · 2023Article
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 at 2 institutions in 1 country.
Funding
Abstract
backgroundIn patient choice, patients are expected to select the provider that best fits their preferences. In this study, we assess to what extent the hospital choice of patients in practice corresponds with their preferred choice.
methodsDutch patients with breast cancer (n = 631) and cataract (n = 1109) were recruited. We employed a discrete choice experiment (DCE) per condition to measure stated preferences and predict the distribution of patients across four hospitals. Each DCE included five attributes: patient experiences, a clinical outcome indicator, waiting time, travel distance and whether the hospital had been recommended (e.g., by the General Practitioner (GP)). Revealed choices were derived from claims data.
resultsHospital quality was valued as most important in the DCE; the largest marginal rates of substitution (willingness to wait) were observed for the clinical outcome indicator (breast cancer: 38.6 days (95% confidence interval (95%CI): 32.9-44.2); cataract: 210.5 days (95%CI: 140.8-280.2)). In practice, it was of lesser importance. In revealed choices, travel distance became the most important attribute; it accounted for 85.5% (breast cancer) and 95.5% (cataract) of the log-likelihood. The predicted distribution of patients differed from that observed in practice in terms of absolute value and, for breast cancer, also in relative order. Similar results were observed in population weighted analyses. DISCUSSION: Study findings show that patients highly valued quality information in the choice for a hospital. However, in practice these preferences did not prevail. Our findings suggest that GPs played a major role and that patients mostly ended up selecting the nearest hospital.
Indexed as
Identifiers
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.