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Article: Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment

TitleHealthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment
Authors
Keywordsacute infectious diseases
chronic non-communicable diseases
discrete choice experiment
health insurance
healthcare preferences
hierarchical medical system
major diseases
Issue Date2022
Citation
Frontiers in Public Health, 2022, v. 10, article no. 1044550 How to Cite?
AbstractBackground: Chinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation. Objective: This 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). Methods: This 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. Results: A 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. Conclusions: This 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.
Persistent Identifierhttp://hdl.handle.net/10722/330880
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYan, Ni-
dc.contributor.authorLiu, Taoran-
dc.contributor.authorXu, Yuan-
dc.contributor.authorFang, Xuanbi-
dc.contributor.authorMa, Xinyang-
dc.contributor.authorYang, Meng-
dc.contributor.authorDu, Jianhao-
dc.contributor.authorTan, Zijian-
dc.contributor.authorFan, Er Wen-
dc.contributor.authorHuang, Jian-
dc.contributor.authorAkinwunmi, Babatunde-
dc.contributor.authorZhang, Casper J.P.-
dc.contributor.authorMing, Wai Kit-
dc.contributor.authorLuo, Liangping-
dc.date.accessioned2023-09-05T12:15:32Z-
dc.date.available2023-09-05T12:15:32Z-
dc.date.issued2022-
dc.identifier.citationFrontiers in Public Health, 2022, v. 10, article no. 1044550-
dc.identifier.urihttp://hdl.handle.net/10722/330880-
dc.description.abstractBackground: Chinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation. Objective: This 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). Methods: This 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. Results: A 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. Conclusions: This 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.-
dc.languageeng-
dc.relation.ispartofFrontiers in Public Health-
dc.subjectacute infectious diseases-
dc.subjectchronic non-communicable diseases-
dc.subjectdiscrete choice experiment-
dc.subjecthealth insurance-
dc.subjecthealthcare preferences-
dc.subjecthierarchical medical system-
dc.subjectmajor diseases-
dc.titleHealthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3389/fpubh.2022.1044550-
dc.identifier.pmid36466449-
dc.identifier.scopuseid_2-s2.0-85143238288-
dc.identifier.volume10-
dc.identifier.spagearticle no. 1044550-
dc.identifier.epagearticle no. 1044550-
dc.identifier.eissn2296-2565-
dc.identifier.isiWOS:000911989800001-

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