Nie Shanren, Liu Dong, Chen Sheng
School of Public Policy and Administration, Chongqing University, Chongqing, Chongqing, China.
Department of Social Work at Chongqing Intellectual Property School, Chongqing University of Technology, Chongqing, Chongqing, China.
PLoS One. 2025 May 21;20(5):e0324497. doi: 10.1371/journal.pone.0324497. eCollection 2025.
This paper presents a novel longitudinal study examining interactions in healthcare expenditure (HCE). Utilizing fuzzy-set qualitative comparative analysis (fsQCA), the study constructs a consumption-provision-finance model to investigate factors influencing HCE. Data from the Organization for Economic Cooperation and Development (OECD) database for the years 2010-2022 are analyzed, covering 37 OECD countries (excluding Luxembourg due to insufficient data). By treating each country-year OECD observation as a case, causal recipes are identified and interpreted. The characteristics of the panel data set are examined by assessing the stability of causal patterns over multiple years and exploring the consistency of these patterns within individual countries across various years. The findings of this study offer significant insights for policy management and future research, particularly in relation to the diverse annual relationships observed between factors and HCE in different countries. Additionally, comparisons are drawn between panel fsQCA and cross-sectional fsQCA conducted for specific years.
本文介绍了一项新颖的纵向研究,该研究考察了医疗保健支出(HCE)中的相互作用。利用模糊集定性比较分析(fsQCA),该研究构建了一个消费-供给-融资模型,以调查影响医疗保健支出的因素。分析了经济合作与发展组织(OECD)数据库中2010年至2022年的数据,涵盖37个经合组织国家(由于数据不足,不包括卢森堡)。通过将经合组织每个国家年度的观察数据视为一个案例,识别并解释因果关系。通过评估多年来因果模式的稳定性以及探索这些模式在各个国家不同年份之间的一致性,来检验面板数据集的特征。本研究的结果为政策管理和未来研究提供了重要见解,特别是在不同国家因素与医疗保健支出之间观察到的不同年度关系方面。此外,还对特定年份进行的面板fsQCA和横截面fsQCA进行了比较。