Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment
BackgroundChinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation.ObjectiveThis study aims to use the discrete choice model to determine the main factors affecting the health...
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| Format: | Article |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1044550/full |
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| author | Ni Yan Taoran Liu Yuan Xu Xuanbi Fang Xinyang Ma Meng Yang Jianhao Du Zijian Tan Er-wen Fan Jian Huang Jian Huang Babatunde Akinwunmi Babatunde Akinwunmi Casper J. P. Zhang Wai-Kit Ming Liangping Luo |
| author_facet | Ni Yan Taoran Liu Yuan Xu Xuanbi Fang Xinyang Ma Meng Yang Jianhao Du Zijian Tan Er-wen Fan Jian Huang Jian Huang Babatunde Akinwunmi Babatunde Akinwunmi Casper J. P. Zhang Wai-Kit Ming Liangping Luo |
| author_sort | Ni Yan |
| collection | DOAJ |
| description | BackgroundChinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation.ObjectiveThis study aims to use the discrete choice model to determine the main factors affecting the healthcare preferences of the general Chinese population and their weights in the three scenarios (chronic non-communicable diseases, acute infectious diseases, and major diseases).MethodsThis study firstly identified the key factors affecting people's healthcare preferences through literature review and qualitative interviews, and then designed the DCE questionnaire. An online questionnaire produced by Lighthouse Studio (version 9.9.1) software was distributed to voluntary respondents recruited from mainland China's entire population from January 2021 to June 2021. Participants were required to answer a total of 21 questions of three scenarios in the questionnaire. The multinomial logit model and latent class model were used to analyze the collected data.ResultsA total of 4,156 participants from mainland China were included in this study. The multinomial logit and latent class model analyses showed that medical insurance reimbursement is the most important attribute in all three disease scenarios. In the scenario of “non-communicable diseases,” the attributes that participants valued were, from the most to the least, medical insurance reimbursement (45.0%), hospital-level (21.6%), distance (14.4%), cost (9.7%), waiting time (8.3%), and care provider (1.0%). As for willingness to pay (WTP), participants were willing to pay 204.5 yuan, or 1,743.8 yuan, to change from private hospitals or community hospitals to tertiary hospitals, respectively.ConclusionsThis study explores the healthcare preferences of Chinese residents from a new perspective, which can provide theoretical reference for the refinement of many disease medical reimbursement policies, such as developing different reimbursement ratios for various common diseases and realizing rational configuration of medical resources. |
| first_indexed | 2024-04-11T08:00:05Z |
| format | Article |
| id | doaj.art-3ded142d084744698b91bc1b8b72098e |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T08:00:05Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Public Health |
| spelling | doaj.art-3ded142d084744698b91bc1b8b72098e2022-12-22T04:35:44ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-11-011010.3389/fpubh.2022.10445501044550Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experimentNi Yan0Taoran Liu1Yuan Xu2Xuanbi Fang3Xinyang Ma4Meng Yang5Jianhao Du6Zijian Tan7Er-wen Fan8Jian Huang9Jian Huang10Babatunde Akinwunmi11Babatunde Akinwunmi12Casper J. P. Zhang13Wai-Kit Ming14Liangping Luo15Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, ChinaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, ChinaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, ChinaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, ChinaSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, SingaporeDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United KingdomDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital Boston, Boston, MA, United StatesCenter for Genomic Medicine (CGM), Massachusetts General Hospital and Harvard Medical School, Harvard University, Boston, MA, United StatesSchool of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, ChinaDepartment of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, ChinaBackgroundChinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation.ObjectiveThis study aims to use the discrete choice model to determine the main factors affecting the healthcare preferences of the general Chinese population and their weights in the three scenarios (chronic non-communicable diseases, acute infectious diseases, and major diseases).MethodsThis study firstly identified the key factors affecting people's healthcare preferences through literature review and qualitative interviews, and then designed the DCE questionnaire. An online questionnaire produced by Lighthouse Studio (version 9.9.1) software was distributed to voluntary respondents recruited from mainland China's entire population from January 2021 to June 2021. Participants were required to answer a total of 21 questions of three scenarios in the questionnaire. The multinomial logit model and latent class model were used to analyze the collected data.ResultsA total of 4,156 participants from mainland China were included in this study. The multinomial logit and latent class model analyses showed that medical insurance reimbursement is the most important attribute in all three disease scenarios. In the scenario of “non-communicable diseases,” the attributes that participants valued were, from the most to the least, medical insurance reimbursement (45.0%), hospital-level (21.6%), distance (14.4%), cost (9.7%), waiting time (8.3%), and care provider (1.0%). As for willingness to pay (WTP), participants were willing to pay 204.5 yuan, or 1,743.8 yuan, to change from private hospitals or community hospitals to tertiary hospitals, respectively.ConclusionsThis study explores the healthcare preferences of Chinese residents from a new perspective, which can provide theoretical reference for the refinement of many disease medical reimbursement policies, such as developing different reimbursement ratios for various common diseases and realizing rational configuration of medical resources.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1044550/fulldiscrete choice experimenthealthcare preferenceshierarchical medical systemhealth insurancechronic non-communicable diseasesacute infectious diseases |
| spellingShingle | Ni Yan Taoran Liu Yuan Xu Xuanbi Fang Xinyang Ma Meng Yang Jianhao Du Zijian Tan Er-wen Fan Jian Huang Jian Huang Babatunde Akinwunmi Babatunde Akinwunmi Casper J. P. Zhang Wai-Kit Ming Liangping Luo Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment Frontiers in Public Health discrete choice experiment healthcare preferences hierarchical medical system health insurance chronic non-communicable diseases acute infectious diseases |
| title | Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment |
| title_full | Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment |
| title_fullStr | Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment |
| title_full_unstemmed | Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment |
| title_short | Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment |
| title_sort | healthcare preferences of the general chinese population in the hierarchical medical system a discrete choice experiment |
| topic | discrete choice experiment healthcare preferences hierarchical medical system health insurance chronic non-communicable diseases acute infectious diseases |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1044550/full |
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