Yuan Jing, Yin Yuheng, Yu Yan, Zhao Huinan, Gao Shang, Ning Liangwen, Xu Yan, Liu Haozhen, Zhu Hongxia, Yu Xihe
School of Public Health, Jilin University, Changchun City, Jilin Province, China.
School of Public Administration, Jilin University, Changchun City, Jilin Province, China.
BMC Health Serv Res. 2025 Aug 28;25(1):1145. doi: 10.1186/s12913-025-13259-7.
Mental disorders are a major cause of the economic burden of disease worldwide, and in China, mental disorders consume a large amount of health care resources and impose a heavy economic burden on society, families, and individuals. The aim of this study was to analyze the medical costs associated with mental disorders in Jilin Province, China, and the related factors affecting medical costs.
Patients were selected by multistage stratified cluster random sampling. All patient records from 446 health care institutions in Jilin Province from 2020 to 2022 were analyzed to characterize their medical costs. T tests, ANOVA and hierarchical regression were used to explore the related factors influencing medical costs.
The average medical cost in Jilin Province from 2020 to 2022 was 225.9 million dollars. Drugs accounted for the largest proportion of medical costs. Hierarchical regression analysis revealed that days of hospitalization, the medical payment method, and the institutional level were positively correlated with medical costs; gender, age, the disease type, comorbidities, the institutional type, the nature of institution, and treatment services were negatively correlated with medical costs(p < 0.05).
Mental disorders often present a substantial economic burden. Efforts must be made to help policy-makers develop effective strategies to reduce the medical burden of mental disorders.
精神障碍是全球疾病经济负担的主要原因之一,在中国,精神障碍消耗了大量医疗保健资源,给社会、家庭和个人带来了沉重的经济负担。本研究旨在分析中国吉林省与精神障碍相关的医疗费用以及影响医疗费用的相关因素。
采用多阶段分层整群随机抽样方法选取患者。对吉林省446家医疗机构2020年至2022年的所有患者记录进行分析,以描述其医疗费用情况。采用t检验、方差分析和分层回归分析来探讨影响医疗费用的相关因素。
2020年至2022年吉林省的平均医疗费用为2.259亿美元。药品在医疗费用中占比最大。分层回归分析显示,住院天数、医疗支付方式和机构级别与医疗费用呈正相关;性别、年龄、疾病类型、合并症、机构类型、机构性质和治疗服务与医疗费用呈负相关(p < 0.05)。
精神障碍往往带来巨大的经济负担。必须努力帮助政策制定者制定有效的策略,以减轻精神障碍的医疗负担。