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Nouwens SPH, Marceta SM, Bui M, van Dijk DMAH, Groothuis-Oudshoorn CGM, Veldwijk J, van Til JA, de Bekker-Grob EW. The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review. PHARMACOECONOMICS 2025:10.1007/s40273-025-01495-y. [PMID: 40397369 DOI: 10.1007/s40273-025-01495-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/30/2025] [Indexed: 05/22/2025]
Abstract
INTRODUCTION Stakeholder preference evaluations are increasingly emphasized in healthcare policy and health technology assessment. Discrete choice experiments (DCEs) are the most common method for quantifying preferences among patients, the public, and healthcare professionals. While prior reviews (1990-2017) have examined DCE trends, no comprehensive synthesis exists for studies published since 2018. This updated review (2018-2023) provides critical insights into evolving methodologies and global trends in health-related DCEs. METHODS A systematic search (2018-2023) of Medline, Embase, and Web of Science identified relevant studies. Studies were screened for inclusion and data were extracted, including details on DCE design and analysis. To enable trend comparisons, the search strategy and extraction items aligned with previous reviews. RESULTS Of 2663 identified papers, 1279 met the inclusion criteria, reflecting a significant rise in published DCEs over time. DCEs were conducted globally, with a remarkable increase in publications from Asia and Africa compared with previous reviews. Experimental designs and econometric models have advanced, continuing prior trends. Notably, most recent DCEs were administered online. DISCUSSION The rapid growth of DCE applications underscores their importance in health research. While the methodology is advancing rapidly, it is crucial that researchers provide full transparency in reporting their methods, particularly in detailing experimental designs and validity tests, which are too often overlooked. Key recommendations include improving reporting of experimental designs, applying validity tests, following good practices for presenting benefit-risk attributes, and adopting open science practices. Ensuring methodological rigor will maximize the impact and reproducibility of DCE research in health economics.
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Affiliation(s)
- Sven Petrus Henricus Nouwens
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands.
- Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands.
| | - Stella Maria Marceta
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands
| | - Michael Bui
- Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Daisy Maria Alberta Hendrika van Dijk
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands
| | | | - Jorien Veldwijk
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands
| | - Janine Astrid van Til
- Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Esther Wilhelmina de Bekker-Grob
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands
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Anagnostou A, Warren C, Dantzer J, Galvin AD, Phillips EJ, Khan DA, Banerji A. Patient-Reported Outcome Measures in Food and Drug Allergy. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024; 12:2591-2598. [PMID: 38710408 DOI: 10.1016/j.jaip.2024.04.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/27/2024] [Accepted: 04/29/2024] [Indexed: 05/08/2024]
Abstract
A patient-reported outcome is directly reported by the patient without interpretation of the patient's response by anyone else. It refers to the patient's health (symptoms and feelings), quality of life, or functional status associated with health care or treatment. Patient-reported outcome measures (PROMs) are defined as the tools or instruments that are used to measure patient-reported outcomes. Health-related quality of life has been the most studied psychosocial PROM in food allergy, using validated questionnaires. In drug allergy, PROMs are useful in capturing patients' experiences of potential allergic reactions, including subjective symptoms such as headache, dizziness, or fatigue. Patient-reported outcome measures can also help differentiate true allergies from side effects or other nonallergic reactions and inform decisions about drug challenges and de-labeling strategies. Ensuring the chosen tool is validated for the specific allergy context is crucial for accurate data collection. Integrating patient-reported experiences alongside traditional methods can lead to more accurate assessments and personalized care.
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Affiliation(s)
- Aikaterini Anagnostou
- Department of Pediatrics, Division of Immunology, Allergy, and Retrovirology, Texas Children's Hospital, Houston, Texas; Division of Allergy, Immunology, and Retrovirology, Baylor College of Medicine, Houston, Texas.
| | - Christopher Warren
- Center for Food Allergy and Asthma Research, Institute for Public Health and Medicine, Northwestern University, Chicago, Ill; CFAAR, Feinberg School of Medicine, Northwestern University, Chicago, Ill
| | - Jennifer Dantzer
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Md
| | | | - Elizabeth J Phillips
- Center for Drug Safety and Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn
| | - David A Khan
- Department of Internal Medicine, Division of Allergy and Immunology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Aleena Banerji
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston, Mass
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Zhuge J, Zheng D, Li X, Nie X, Liu J, Liu R. Parental preferences for the procedural sedation of children in dentistry: a discrete choice experiment. Front Pediatr 2023; 11:1132413. [PMID: 38116578 PMCID: PMC10728602 DOI: 10.3389/fped.2023.1132413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 11/16/2023] [Indexed: 12/21/2023] Open
Abstract
Purpose The aim of this study was to explore parental preferences for the procedural sedation of children in dentistry through a discrete choice experiment (DCE) to inform clinical decisions and oral health management. Methods Based on literature reviews, interviews with parents of pediatric dental patients, and expert consultation, six attributes, including fasting time, recovery time, sedative administration routes, adverse reactions, sedation depth and procedure cost, were incorporated into the DCE questionnaire. The DCE questionnaire collected data on parental preferences for pediatric dental sedation treatment from June to August 2022. A conditional logit model was used to analyze preference and willingness to pay (WTP) for each attribute and its level. Subgroup analyses assessing the impact of parents' dental anxiety on procedural sedation preferences were also conducted using conditional logit models. Results A total of 186 valid questionnaires were gathered. Parents' preferences for fewer adverse reactions, a milder sedation depth, lower out-of-pocket cost, shorter fasting and recovery times and administration by inhalation were significantly associated with their choice of sedation model. The conditional logit model showed that parents were most interested in treatments with no adverse reactions (0% vs. 15%) (Coef, 1.033; 95% CI, 0.833-1.233), followed by those providing minimal sedation (vs. deep sedation) (Coef, 0.609; 95% CI, 0.448-0.769). Moreover, the relative importance of adverse reactions and fasting time was higher among anxious than nonanxious parents. The study found a WTP threshold of ¥1,538 for reducing adverse reactions (15% to 0%). The WTP threshold for the best sedation procedure scenario (no fasting requirement, 10 min recovery time, administration by inhalation, 0% adverse reaction incidence and minimal sedation) was ¥3,830. Conclusion Reducing the adverse reactions and depth of sedation are predominant considerations for parents regarding procedural sedation in pediatric dentistry, followed by lower cost, shorter fasting and recovery times and inhalation sedation. Parents with dental anxiety had a stronger preference for options with a lower incidence of adverse reactions and shorter fasting time than parents without dental anxiety. This discovery is helpful for doctors and can promote collaborative decision-making among parents and doctors.
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Affiliation(s)
- Jinru Zhuge
- Department of Anesthesiology, The Affiliated Stomatology Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dongyue Zheng
- Department of Nursing, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xingwang Li
- Department of Anesthesiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xin Nie
- Department of Stomatology, The Affiliated Stomatology Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jiefan Liu
- Department of Stomatology, The Affiliated Stomatology Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ruohai Liu
- Department of Anesthesiology, The Affiliated Stomatology Hospital of Wenzhou Medical University, Wenzhou, China
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