ArticleThe patient2025
How to Present a Decision Object in Health Preference Research: Attributes and Levels, the Decision Model, and the Descriptive Framework.
Article in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Incorporating the Patient Voice into Attribute and Level Selection for a Preference Study: A Qualitative Study in Non-Muscle Invasive Bladder Cancer.The patient · 2026Article
- Preferences towards digital health technologies: a scoping review.Health economics review · 2026Review
- Patient Preferences for Long-Term Prophylactic Treatment in Hereditary Angioedema: A Discrete-Choice Experiment.The patient · 2026Article
- Stroke survivors' preferences for recovery-promoting drugs: development and piloting of a discrete choice experiment.Pilot and feasibility studies · 2026Article
- What Is at Stake in Genetic Newborn Screening for Rare Diseases? An Exploratory Qualitative Study of Parents' and Expectant Parents' Concerns in the Screen4Care Project.Public health genomics · 2026Article
- Reliability of radiotherapist assessment for radiation induced skin-toxicity: investigational study.Frontiers in oncology · 2026Article
- What Matters Most to Patients with NSCLC When Choosing Anticancer Treatments in China? A Best-Worst Scaling Study.Patient preference and adherence · 2026Article
- Developing Tools for the Efficient Design of Health Preference Studies: Taxonomy of Attributes and Prototype of an Attribute Library.The patient · 2025Review
- Quantifying Patient Preferences for Basal Insulin Treatments in Adults Living with Type 2 Diabetes: A Discrete Choice Experiment in Canada, Spain, France, and Japan.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Article
- Patient preferences for adjuvant therapy in renal cell carcinoma: a discrete-choice experiment.Future oncology (London, England) · 2025Article
- Consumer Preferences for a Healthcare Appointment Reminder in Australia: A Discrete Choice Experiment.The patient · 2024Article
- Eliciting Older Cancer Patients' Preferences for Follow-Up Care to Inform a Primary Healthcare Follow-Up Model in China: A Discrete Choice Experiment.The patient · 2024Article
- Evaluating the Preferences and Willingness-to-Pay for Oral Antidiabetic Drugs Among Patients with Type 2 Diabetes Mellitus in China: A Discrete Choice Experiment.The patient · 2024Article
- Examining the Effect of Depicting a Patient Affected by a Negative Reimbursement Decision in Healthcare on Public Disagreement with the Decision.PharmacoEconomics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In health preference research (HPR) studies, data are generated by participants'/subjects' decisions. When developing an HPR study, it is therefore important to have a clear understanding of the components of a decision and how those components stimulate participant behavior. To obtain valid and reliable results, study designers must sufficiently describe the decision model and its components. HPR studies require a detailed examination of the decision criteria, detailed documentation of the descriptive framework, and specification of hypotheses. The objects that stimulate subjects' decisions in HPR studies are defined by attributes and attribute levels. Any limitations in the identification and presentation of attributes and levels can negatively affect preference elicitation, the quality of the HPR data, and study results. This practical guide shows how to link the HPR question to an underlying decision model. It covers how to (1) construct a descriptive framework that presents relevant characteristics of a decision object and (2) specify the research hypotheses. The paper outlines steps and available methods to achieve all this, including the methods' advantages and limitations.
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.