文献类型：期刊文献

英文题名：Medical Treatment Behaviour of the Elderly Population in Shanghai: Group Features and Influencing Factor Analysis

作者：Yang, Shangguang[1];Wang, Danyang[1];Li, Chen[2];Wang, Chunlan[3];Wang, Mark[4]

机构：[1]East China Univ Sci & Technol, Sch Business, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Chinese Univ Hong Kong, Inst Future Cities, Dept Geog & Resource Management, Hong Kong 999077, Peoples R China;[3]East China Normal Univ, Sch Social Dev, Chinese Modern City Res Ctr, Shanghai 200062, Peoples R China;[4]Univ Melbourne, Sch Geog, Parkville, Vic 3010, Australia

年份：2021

卷号：18

期号：8

外文期刊名：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

收录：;WOS:【SSCI(收录号:WOS:000644150800001)，SCI-EXPANDED(收录号:WOS:000644150800001)】；

基金：This study was supported by National Natural Science Foundation of China, Grant/Award Number: 71874054; Shanghai Education Committee Humanities and Social Sciences Major Project, Grant/Award Number: 2017-01-07-00-02-E00008; Shanghai Soft Science Foundation Project, Grant/Award Number: 19692109100.

语种：英文

外文关键词：elderly population; medical treatment behaviour; influencing factors; Shanghai; China

摘要：Background: While Chinese cities are pursuing economic development, meeting citizen demand for medical treatment has only gradually been put on the agenda. Theoretically, in the second half of a person's life, demand for medical treatment will rise sharply. Given limited medical resources, the match between demand and supply becomes more difficult. We conducted questionnaires in Shanghai to describe whether there are obvious group differences in the elderly population's medical treatment options and provide empirical evidence on the determinants. Method: We collected 439 Shanghai Elderly Medical Demand Characteristics Questionnaires, which included five parts: personal information, health status, elderly person's medical preference and expectation, satisfaction level for hospitals services, and medical insurance. We set up virtual explanatory variables according to the different medical behaviours of the elderly, and control variables composed of individual characteristics, socioeconomic characteristics, medical needs, medical resource availability, and medical expenditure. We used the MLR model to investigate medical treatment behaviour choice. Results: The medical treatment behaviour of the elderly population in Shanghai is affected by multiple factors. When experiencing physical discomfort, most of them choose to go to the hospital (64.69%). Age, income, household registration, and medical insurance reimbursement policy play a role in their decision-making. For general diseases, the proportion choosing specialist hospitals or community clinics is the highest (40.78%). Age, marital status, residential status, physical state, objective distance, medical expenses, and other factors have a significant impact. For severe diseases, they are more inclined (71.07%) to visit general hospitals, with the individual's physical condition, living status, and accessibility to hospital resources more likely to affect their behaviour. Conclusion: Firstly, the importance of each factor varies depending on the conditions. Secondly, it may be more appropriate for China's elderly health insurance system to set reimbursement rates based on the patient's condition and disease type. Thirdly, medical behaviour has a distance friction effect, but the allocation of public service resources shows a strong centripetal concentration. It is necessary for the government to show due care about the regional distribution of the elderly population and to promote the rational distribution of medical resources in Shanghai.