Inequality in Health Services for Internal Migrants in China: A National Cross-Sectional Study on the Role of Fund Location of Social Health Insurance

Yao, Qiang; Liu, George; Sun, Jutang

doi:10.3390/ijerph17176327

Cited by 17 publications

(13 citation statements)

References 52 publications

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“…In order to respond to such sudden public health crises, improving the public health system and rationally allocating medical resources have become the focus of the governments of various countries [ 4 , 5 ]. However, in mega-cities, the mis-match between the supply of and demand for medical resources is significant due to the more obvious increase in population, and presents a social issue that governments need to urgently address to safeguard people’s livelihoods and stabilize society [ 6 , 7 , 8 ]. Research related to medical resources tends to focus on issues related to the acces-sibility and equity of medical resources.…”

Section: Introductionmentioning

confidence: 99%

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China

Wang

et al. 2022

IJERPH

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Previous Studies, such as the evaluation of the supply of and demand for regional medical resources and carrying capacity assessments, require further development. This paper aims to evaluate the carrying capacity and spatial distribution of medical resources in Shenzhen from the perspective of supply and demand, and to conduct a time-series variation of the coupling coordination degree from 1986 to 2019. The two-step floating catchment area method was employed to quantify the carrying capacity and coupling coordination degree method and spatial autocorrelation analysis were applied to analyze spatial distribution between supply and demand. The results were as follows. (1) The carrying capacity index in more than 50% of the districts was classified as low-grade. The percentage of regions with good grades was 8.27%. The regions with a high carrying capacity were distributed in the central and southeastern areas. (2) The coupling coordination continued to rise, increasing from 0.0058 in 1986 to 0.3352 in 2019. (3) The level of supply and demand for medical resources in Shenzhen increased from 1986 to 2019, and the highest degree of compatibility between the supply and the population size was largely concentrated in the western and eastern regions. This research can provide a theoretical reference for Shenzhen to rationally plan medical resources and improve the carrying capacity of medical resources.

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Section: Introductionmentioning

confidence: 99%

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China

Wang

et al. 2022

IJERPH

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“…China has a unique social health insurance system in which patients might receive less reimbursement if they do not receive medical treatment in their own residence area [ 33 , 34 ]. As reported by Yao et al., local residents under a social health insurance scheme were more likely to seek medical attention when needed and leave a health record than patients who were outside of their area of residence [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Risk factors associated with loss to follow-up of breast cancer patients: A retrospective analysis

Ouyang

Gao

et al. 2021

The Breast

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…More importantly, participating in BMIUE can improve the risk resistance of the floating population at their current residence, reduce their cost of living and reduce their economic burden to a certain extent [ 51 – 53 ]. BMIUE is paid for by both the employer and the employee [ 54 ], and the employer pays more than each individual. Employees only need to pay for a certain number of years to enjoy higher rates of medical insurance reimbursement for life.…”

Section: Discussionmentioning

confidence: 99%

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

Yu-lin

Huang

et al. 2021

Cost Eff Resour Alloc

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Background Medical 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. Methods Based 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. Results The 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%. Conclusions This 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.

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Inequality in Health Services for Internal Migrants in China: A National Cross-Sectional Study on the Role of Fund Location of Social Health Insurance

Cited by 17 publications

References 52 publications

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China

Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China

Risk factors associated with loss to follow-up of breast cancer patients: A retrospective analysis

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

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