Mixed methods research on satisfaction with basic medical insurance for urban and rural residents in China

Author:

Liu Xiaofang,Yang Fang,Cheng Wenwei,Wu Yanyan,Cheng Jin,Sun Weichu,Yan Xiaofang,Luo Mingming,Mo Xiankun,Hu Mi,Lin Qian,Shi JingchengORCID

Abstract

Abstract Background There have been few studies on satisfaction with integrated basic medical insurance for urban and rural residents (URRBMI), and satisfaction with URRBMI is not very high because of the complexity of its policies and differences among the insured. The aim of the present study was to explore the factors that influence satisfaction with URRBMI in China and to provide scientific suggestions to the government for how to effectively manage and improve the policy. Methods An explanatory sequential design of mixed methods research was used. A quantitative research using a three-stage stratified cluster sampling method was used to randomly select the guardians of pupils who participated in URRBMI (n = 1335). The quantitative research was conducted to calculate the latent variables’ scores and path coefficients between latent variables using SmartPLS3.0. With public trust, public satisfaction, and perceived quality as the target variables, important-performance analysis (IPA) was used to explore the important but underperforming factors, which were the key elements to improving satisfaction with URRBMI. A purposeful sampling strategy according to satisfaction level was used to obtain qualitative research subjects from among the quantitative research subjects. A qualitative research was conducted using semi-structured interviews, and the thematic analysis method was used to summarize the interview data. Results The three strongest paths were perceived quality to public satisfaction, with a total effect of 0.737 (t = 41.270, P < 0.001); perceived quality to perceived value, with a total effect of 0.676 (t = 31.964, P < 0.001); and public satisfaction to public trust, with a total effect of 0.634 (t = 31.305, P < 0.001). IPA revealed that public satisfaction and perceived quality were key factors for public trust and that perceived quality was of high importance for public satisfaction but had low performance. The policy quality was a determining factor for perceived quality. The qualitative research results showed that the most unsatisfactory aspect for the insured was the policy quality. Conclusions This study found that improving quality is key to improving public satisfaction with and public trust in URRBMI. The government should improve the compensation level by broadening the channel of financing for the URRBMI fund, rationally formulating reimbursement standards, and broadening the scope of the drug catalog and the medical treatment projects. The government should establish a stable financing growth mechanism and effective methods of providing health education to improve public satisfaction and public trust.

Funder

Chia Community Health Services & Health Education Program

National Science & Technology Fundamental Resources Investigation Program of China

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference52 articles.

1. The Central People's Government of the People's Republic of China. Opinions of the state council on integrating the basic medical insurance system for urban and rural residents. In: China TcpsgotPsRo, editor. . Beijing: The central people's government of the People's Republic of China; 2016.

2. Pan X-F, Xu J, Meng Q. Integrating social health insurance systems in China. Lancet. 2016;387(10025):1274–5.

3. Wang X, Zheng A, He X, Jiang H. Integration of rural and urban healthcare insurance schemes in China: an empirical research. BMC Health Serv Res. 2014;14:142.

4. Munro N, Duckett J. Explaining public satisfaction with health-care systems: findings from a nationwide survey in China. Health Expect. 2016;19(3):654–66.

5. Wang Y. The research on the satisfaction degree of basic medical insurance for urban and rural residents in Luancheng district. Shijiangzhuang City (in Chinese): Guangxi University for Nationalities; 2018.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3