Evidence map›Paper›PMID 32758210›Full record

ArticleBMC public health2020

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

Xiaofang Liu, Fang Yang, Wenwei Cheng, Yanyan Wu, Jin Cheng, Weichu Sun, Xiaofang Yan, Mingming Luo, Xiankun Mo, Mi Hu and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xiaofang LiuDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Fang YangDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Wenwei ChengThe Third Xiangya Hospital of Central South University, Changsha, China.
Yanyan WuDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Jin ChengDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Weichu SunFirst Clinical Medical College, University of South China, Hengyang, China.
Xiaofang YanWuhan Hospital of Traditional Chinese Medicine, Wuhan, China.
Mingming LuoJiangxi Cancer Hospital, Nanchang, China.
Xiankun MoHunan Medical Security Bureau, Changsha, China.
Mi HuDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Qian LinDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China.
Jingcheng ShiDepartment of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, 410078, China. jingzhengs@126.com.ORCID http://orcid.org/0000-0001-8071-5927

Funding

Chia Community Health Services & Health Education Program 2014CC03National Science & Technology Fundamental Resources Investigation Program of China 2018FY100900
6 · The paper itself

Abstract

backgroundThere 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.

methodsAn 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.

resultsThe 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.

conclusionsThis 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.

Indexed as

Insurance, HealthPersonal SatisfactionAdultChinaFemaleGovernmentHumansMaleQualitative ResearchRural PopulationTrustImportance-performance analysisMedical insuranceMixed methods researchSatisfaction

Identifiers

PMID32758210
PMCPMC7409480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.