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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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Huang Y, Feng S, Zhao Y, Wang H, Jiang H. Preferences for COVID-19 Vaccines: Systematic Literature Review of Discrete Choice Experiments. JMIR Public Health Surveill 2024; 10:e56546. [PMID: 39073875 PMCID: PMC11319885 DOI: 10.2196/56546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/01/2024] [Accepted: 05/26/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Vaccination can be viewed as comprising the most important defensive barriers to protect susceptible groups from infection. However, vaccine hesitancy for COVID-19 is widespread worldwide. OBJECTIVE We aimed to systematically review studies eliciting the COVID-19 vaccine preference using discrete choice experiments. METHODS A literature search was conducted in PubMed, Embase, Web of Science, Scopus, and CINAHL Plus platforms in April 2023. Search terms included discrete choice experiments, COVID-19, and vaccines and related synonyms. Descriptive statistics were used to summarize the study characteristics. Subgroup analyses were performed by factors such as high-income countries and low- and middle-income countries and study period (before, during, and after the pandemic wave). Quality appraisal was performed using the 5-item Purpose, Respondents, Explanation, Findings, and Significance checklist. RESULTS The search yield a total of 623 records, and 47 studies with 53 data points were finally included. Attributes were grouped into 4 categories: outcome, process, cost, and others. The vaccine effectiveness (21/53, 40%) and safety (7/53, 13%) were the most frequently reported and important attributes. Subgroup analyses showed that vaccine effectiveness was the most important attribute, although the preference varied by subgroups. Compared to high-income countries (3/29, 10%), a higher proportion of low- and middle-income countries (4/24, 17%) prioritized safety. As the pandemic progressed, the duration of protection (2/24, 8%) during the pandemic wave and COVID-19 mortality risk (5/25, 20%) after the pandemic wave emerged as 2 of the most important attributes. CONCLUSIONS Our review revealed the critical role of vaccine effectiveness and safety in COVID-19 vaccine preference. However, it should be noticed that preference heterogeneity was observed across subpopulations and may change over time. TRIAL REGISTRATION PROSPERO CRD42023422720; https://tinyurl.com/2etf7ny7.
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Affiliation(s)
- Yiting Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Department of Medical Statistics, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China
| | - Shuaixin Feng
- Outpatient department of Baogang, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Yuyan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Haode Wang
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
| | - Hongbo Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Institute for Global Health, University College London, London, United Kingdom
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Xu J, Tian G, He J, Deng F, Chen F, Shi Q, Liu J, Zhang H, Zhang T, Wu Q, Kang Z. The Public's Self-Avoidance and Other-Reliance in the Reporting of Medical Insurance Fraud: A Cross-Sectional Survey in China. Risk Manag Healthc Policy 2023; 16:2869-2881. [PMID: 38149180 PMCID: PMC10750483 DOI: 10.2147/rmhp.s438854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/17/2023] [Indexed: 12/28/2023] Open
Abstract
Purpose To understand the public's self-willingness to report medical insurance fraud and their expectations on others, to provide a reference for the government to do a good job in medical insurance anti-fraud. Methods Data were obtained from a questionnaire survey of 846 respondents in China. Descriptive statistical analyses and multinomial logistic regression were used to analyze the different subjective attitudes of the public toward different subjects when faced with medical insurance fraud and the influencing factors. Results 511 (60.40%) respondents were willing to report medical insurance fraud, while 739 (87.35%) respondents expected others to report it. 485 (57.33%) respondents were willing and expected others to report medical insurance fraud, followed by those who were not willing but expected others to report it (254, 30.02%). Compared to those who were unwilling to report themselves and did not want others to report, those who believe their reporting is useless (OR=3.13, 95% CI=1.15-8.33) and those who fear for their safety after reporting (OR=2.96, 95% CI=1.66-5.26) were more likely to expect others to report. Self-reporting willingness was stronger among the public who were satisfied with the government's protective measures for the safety of whistleblowers (OR=4.43, 95% CI=1.38-14.17). The public who believe that both themselves and others have responsibilities to report medical insurance fraud were willing to report and expect others to do the same. Conclusion The public had a "self-avoidance" and "other-reliance" mentality in medical insurance anti-fraud. The free-rider mentality, lack of empathy, concerns about own risk after reporting, and the interference of decentralized responsibility were important factors contributing to this public mentality. At this stage, the government should prevent the public's "collective indifference" in medical insurance anti-fraud efforts. Improving the safety and protection of whistleblowers and making everyone feel more responsible and valued may be effective incentives to enhance the public's willingness to report.
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Affiliation(s)
- Jinpeng Xu
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Guomei Tian
- Department of Nuclear Medicine, the Fourth Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Jingran He
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Fangmin Deng
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Fangting Chen
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Qi Shi
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Jian Liu
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Hongyu Zhang
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Ting Zhang
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Qunhong Wu
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
| | - Zheng Kang
- School of Health Management, Harbin Medical University, Harbin, People’s Republic of China
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