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

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          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.

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          Most cited references36

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          The American Customer Satisfaction Index: Nature, Purpose, and Findings

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            Designing and conduction mixed methods research

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              Qualitative and mixed methods provide unique contributions to outcomes research.

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                Author and article information

                Contributors
                987568919@qq.com
                yangfang2010@csu.edu.cn
                1551632207@qq.com
                1130238449@qq.com
                857047072@qq.com
                smsysun@foxmail.com
                987469033@qq.com
                814701480@qq.com
                mxk900@126.com
                humi33@126.com
                423128028@qq.com
                jingzhengs@126.com
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                5 August 2020
                5 August 2020
                2020
                : 20
                : 1201
                Affiliations
                [1 ]GRID grid.216417.7, ISNI 0000 0001 0379 7164, Department of Epidemiology and Health Statistics, XiangYa School of Public Health, , Central South University, ; Changsha, 410078 China
                [2 ]GRID grid.431010.7, The Third Xiangya Hospital of Central South University, ; Changsha, China
                [3 ]GRID grid.412017.1, ISNI 0000 0001 0266 8918, First Clinical Medical College, , University of South China, ; Hengyang, China
                [4 ]GRID grid.464460.4, Wuhan Hospital of Traditional Chinese Medicine, ; Wuhan, China
                [5 ]GRID grid.452533.6, ISNI 0000 0004 1763 3891, Jiangxi Cancer Hospital, ; Nanchang, China
                [6 ]Hunan Medical Security Bureau, Changsha, China
                Author information
                http://orcid.org/0000-0001-8071-5927
                Article
                9277
                10.1186/s12889-020-09277-1
                7409480
                32758210
                92bf583a-b5a8-437c-a6c5-8bfe8a6a8806
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 January 2020
                : 19 July 2020
                Funding
                Funded by: Chia Community Health Services & Health Education Program
                Award ID: 2014CC03
                Award Recipient :
                Funded by: National Science & Technology Fundamental Resources Investigation Program of China
                Award ID: 2018FY100900
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Public health
                medical insurance,satisfaction,mixed methods research,importance-performance analysis

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