Institute of Healthy Jiangsu Development, Nanjing Medical University, Nanjing, China.
The Affiliated Hospital of Qingdao University, Qingdao, China.
Front Public Health. 2022 Sep 29;10:977150. doi: 10.3389/fpubh.2022.977150. eCollection 2022.
Disabilities may raise heavy medical expenses and rich-poor inequalities. However, data is lacking for the Chinese older populations. This study aimed to measure socioeconomic inequalities in medical expenses amongst the Chinese adult 45 years or older, and explored the main determinants among different disability categories.
Data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were used. Disabilities were divided into five categories: physical disabilities, intellectual disability, vision problems, hearing problems, and multiple disabilities. The two-part model was employed to identify the factors that are associated with medical expenditures. Socioeconomic inequalities were measured by the concentration index (CI), and the horizontal inequity index (HI) which adjusts for health needs. Decomposition analysis was further applied to evaluate the contribution of each determinant.
Two thousand four hundred nineteen people were included in this study. The CIs and HIs of the expenditure were both positive. Amongst the varied types of medical expenses, the highest CIs were found for self-treatment expenses (0.0262). Amongst the five categories of disabilities, the group with vision problem disability reported the highest CIs and HIs for outpatient expenses (CI = 0.0843, HI = 0.0751), self-treatment expenses (CI = 0.0958, HI = 0.1119), and total expenses (CI = 0.0622, HI = 0.0541). The group of intellectual disability reported the highest CI and HI (CI = 0.0707, HI = 0.0625). The decomposition analysis showed that income (80.32%), education (25.14%) and living in the rural areas (13.96%) were the main determinants of medical expenses for HI amongst all types of disabilities.
For five types of disabilities, our data shows that medical expenses concentrated in the richer groups in China. Income, education, and rural areas factors were the main contributors to the economic-related inequalities. Health policies to improve the affordability of medical care are needed to decrease inequity of medical expenditures for people with disabilities.
残疾可能会带来沉重的医疗费用和贫富差距。然而,中国老年人群的数据却很缺乏。本研究旨在衡量中国 45 岁及以上成年人的医疗费用在社会经济方面的不平等,并探讨不同残疾类别的主要决定因素。
本研究使用了 2018 年中国健康与退休纵向研究(CHARLS)的数据。残疾分为五类:身体残疾、智力残疾、视力问题、听力问题和多重残疾。采用两部分模型来确定与医疗支出相关的因素。使用集中指数(CI)和调整健康需求的水平不公平指数(HI)来衡量社会经济不平等。进一步进行分解分析以评估每个决定因素的贡献。
本研究共纳入 2419 人。支出的 CI 和 HI 均为正。在各种类型的医疗费用中,自我治疗费用的 CI 最高(0.0262)。在五种残疾类型中,视力问题残疾组的门诊费用(CI = 0.0843,HI = 0.0751)、自我治疗费用(CI = 0.0958,HI = 0.1119)和总费用(CI = 0.0622,HI = 0.0541)的 CI 和 HI 最高。智力残疾组的 CI 和 HI 最高(CI = 0.0707,HI = 0.0625)。分解分析表明,收入(80.32%)、教育(25.14%)和农村地区(13.96%)是所有残疾类型 HI 中医疗费用的主要决定因素。
对于五类残疾,我们的数据表明,中国的医疗费用集中在较富裕的群体中。收入、教育和农村地区因素是造成与残疾相关的经济不平等的主要原因。需要制定改善医疗服务可负担性的健康政策,以减少残疾人群的医疗支出不平等。