Evidence map›Paper›PMID 34627281›Full record

ArticleCost effectiveness and resource allocation : C/E2021

The influence of medical insurance and social security cards on the floating population's settlement intention.

Yulin Li, Lingling Huang, Li Xiang, Dongmei Dou

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Article in Cost effectiveness and resource allocation : C/E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yulin Li *School of Nursing and Health, Institute for Chronic Disease Risk Assessment, Henan University, Kaifeng, 475004, China.
Lingling Huang *School of Nursing and Health, Lida University, Shanghai, 201609, China.
Li XiangSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430000, China.
Dongmei DouSchool of Nursing and Health, Institute for Chronic Disease Risk Assessment, Henan University, Kaifeng, 475004, China. doudongmei1224@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical insurance and social security cards are an important incentive for the floating population to live a stable life in their current residence, but there has been little studies on their effect on settlement intentions. Therefore, the purpose of this paper was to study the impact of basic medical insurance for urban employees and application for personal social security cards on the settlement intentions of the floating population. With the increase of the desire to settle, the health management and the development of public health will be improved.

methodsBased on the 2017 survey data from the dynamic monitoring of China's floating population, we explored the influence of basic medical insurance for urban employees and social security cards on the floating population's settlement intentions. Additionally, this study also examined the comprehensive causal relationship, with social integration as the mediator variable. We used SPSS 21.0 software. The input method was used to analyze the influence of the above variables by binary logistic regression. Then we used AMOS22.0 software to establish the structural equation model of the relationship between the above three independent variables. Finally, we used bootstrapping method to analyze the direct effect, indirect effect and total effect of independent variables on settlement intention.

resultsThe settlement intention of members of the floating population after participating in basic medical insurance for urban employees was 23.2% higher than that of those who did not participate. The decision as to whether to apply for a personal social security card is related to their settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention were positive values, and the Z values of the overall effect, indirect effect, and direct effect were all greater than 1.96; the confidence interval of the indirect effect did not include 0. We found that this model is a partial intermediary model, with an intermediary ratio of 10.66%.

conclusionsThis article highlights the important impact of basic medical insurance for urban employees and individual social security cards on the floating population. The conclusions of this study provide suggestions for the government to use when designing policies to enhance the settlement intentions of the floating population and to improve the development of public health undertakings.

Indexed as

Floating populationMedical insurancePublic healthSettlement intentionSocial security cardUrban employee basic medical insurance

Identifiers

PMID34627281
PMCPMC8501933

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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.