ArticleHealth economics review2016
Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview.
Article in Health economics review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05146206 (Patient Satisfaction and Sensory Attributes of Nasal Spray Treatments for Allergic Rhinitis), which is not on this map. Cited by 102 papers, 7 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.
Patient Satisfaction and Sensory Attributes of Nasal Spray Treatments for Allergic Rhinitis
Who cites it
102 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Using best-worst scaling to inform policy decisions in Africa: a literature review.BMC public health · 2024Pooled it
- Pooled it
- Best-Worst Scaling and the Prioritization of Objects in Health: A Systematic Review.PharmacoEconomics · 2022Pooled it
- Discrete Choice Experiments in Health Economics: Past, Present and Future.PharmacoEconomics · 2019Pooled it
- Pooled it
- The Role of Qualitative Research Methods in Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2017Pooled it
- Using Best-Worst Scaling to Investigate Preferences in Health Care.PharmacoEconomics · 2016Pooled it
- Ethical Aspects of Physician Decision-Making for Deprescribing Among Older Adults With Dementia.JAMA network open · 2023Trial
- Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment.The patient · 2023Trial
- Using Best-Worst Scaling to explore the perceived addictiveness of foods by processing level: a cross-sectional study among higher education students in Belgium.Archives of public health = Archives belges de sante publique · 2026Article
- Establishing Reporting Requirements for Decision-Makers: A Cross-Sectional Study From a Public Dental Service in New South Wales, Australia.Health science reports · 2026Article
- Quantifying Staff Preferences for Workforce Retention Strategies in Remote Australian Primary Health Care Services.The Australian journal of rural health · 2026Article
- Patients' Perspectives Regarding Ankylosing Spondylitis Treatment Administration Features: Evidence from Qualitative Interviews and a Multinational Quantitative Preference Survey.Rheumatology and therapy · 2026Article
- What traits do urology programs value in elective students? A survey of Canadian selection committee members.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026Article
- Comparing patient and healthcare professional preferences for patient-centered integrated care in China: a best-worst scaling study.BMC health services research · 2026Article
- Identifying Key Intervention Attributes Driving Acceptability of Spouse/Partner-Centered HIV Interventions in Vietnam Using Conjoint Analysis.Patient preference and adherence · 2026Article
- Well-Being in Psoriasis: Weighting its Components Using Best-worst Scaling Methodology.Dermatology and therapy · 2025Article
- Incorporating Best-Worst Scaling (BWS) Questions into Focus Groups to Improve Understanding of Patient Preferences and Refine BWS Attributes.The patient · 2025Article
- Patient and physician preferences for cancer panel testing in Japan: a best-worst scaling study.BMJ open · 2025Observational
- Evaluating the Role of Food Security in the Context of Quality of Life in Underserved Communities: The ISAC Approach.Nutrients · 2025Article
42 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
Best-worst scaling (BWS), also known as maximum-difference scaling, is a multiattribute approach to measuring preferences. BWS aims at the analysis of preferences regarding a set of attributes, their levels or alternatives. It is a stated-preference method based on the assumption that respondents are capable of making judgments regarding the best and the worst (or the most and least important, respectively) out of three or more elements of a choice-set. As is true of discrete choice experiments (DCE) generally, BWS avoids the known weaknesses of rating and ranking scales while holding the promise of generating additional information by making respondents choose twice, namely the best as well as the worst criteria. A systematic literature review found 53 BWS applications in health and healthcare. This article expounds possibilities of application, the underlying theoretical concepts and the implementation of BWS in its three variants: 'object case', 'profile case', 'multiprofile case'. This paper contains a survey of BWS methods and revolves around study design, experimental design, and data analysis. Moreover the article discusses the strengths and weaknesses of the three types of BWS distinguished and offered an outlook. A companion paper focuses on special issues of theory and statistical inference confronting BWS in preference measurement.
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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.