Evidence map›Paper›PMID 40421890›Full record

ArticleInternational health2026

Medical insurance coverage and its associated factors among children in urban and rural Chongqing, China.

Caihui Hu, Jingyu Chen, Lanling Chen, Xinyuan Yao, Shunqing Luo, Xiaoping Jiang, Lan Chen, Fengming Wang, Jie Li, Jian Liu and 2 more

Abstract read
In one paragraph

Article in International health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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.

Caihui HuDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Jingyu ChenDepartment of Ultrasound Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China.
Lanling ChenDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Xinyuan YaoHematology and Oncology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Shunqing LuoDepartment of General Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China.
Xiaoping JiangDepartment of Nursing, Children's Hospital of Chongqing Medical University, Chongqing, China.
Lan ChenDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Fengming WangDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Jie LiDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Jian LiuDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.
Shihai ZhengDepartment of Medical Laboratory, Chongqing Liangjiang New Area People's Hospital, Chongqing 401121, China.
Xiaohua LiangDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing 400014, China.ORCID 0000-0003-3867-9779

Funding

Children's Medical Security Innovation Research Demonstration NCRCCHD-2019-HP-05Children's Medical Security Innovation Research Demonstration NCRCCHD-2019-HP-16Education Commission of Chongqing Municipality KJQN201900443Intelligent Medicine Project ZHYX202109Joint Medical Research Project of Chongqing Municipal Health Commission and Chongqing Science and Technology Bureau 2020MSXM062National Clinical Research Center for Child Health and Disorders NCRC-2020-GP-13National Key Research and Development Project 2017YFC0211705Natural Science Foundation of Youth Project 81502826Research and Innovation Team of Chongqing Medical University W0088Technology Foresight and Institutional Innovation Project of Chongqing Science and Technology Bureau cstc2020jsyj-zzysbAX0016Young and Middle-aged Medical Outstanding Expert Project of Chongqing Municipal Health Commission 78
6 · The paper itself

Abstract

backgroundChildren face a heavy disease burden, while healthcare utilization remains low. This study seeks to assess the proportions of children in Chongqing covered by medical insurance and identify associated factors.

methodsFrom March to June 2019, a stratified cluster sampling was employed to cover 4705 participants in Chongqing's urban and rural districts. In a cross-sectional survey, univariate and multivariate mixed logistic regression analysis were performed to explore the determinants of medical insurance enrolment.

resultsThe participation rates of basic medical insurance (BMI) were 83.29%, 85.29% and 81.11% in total, urban areas and rural areas, respectively. For commercial medical insurance (CMI), the corresponding rates were 29.78%, 34.95% and 24.11%, respectively. After adjusting for covariates, younger child age, better quality of life and higher annual household income were associated with a higher BMI participation rate. Conversely, children with asthma had lower odds of BMI coverage. For CMI, childhood obesity was a risk factor for being uninsured, while higher parental education, rhinitis, annual family income >150 000 RMB, caesarean section history and maternal gestational diabetes significantly increased the likelihood of CMI enrolment.

conclusionsIn summary, universal health insurance coverage for children in Chongqing remains unfulfilled. To ameliorate the gaps and inequalities in children's insurance, sustained efforts are necessary, including improving household economic conditions, enhancing parental education levels and focusing on children's physical health. Therefore, policy supports should be enhanced, especially for economically disadvantaged rural areas in southwestern China.

Indexed as

Insurance CoverageInsurance, HealthRural PopulationUrban PopulationAdolescentChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansInfantMaleSocioeconomic Factorsassociated factorsbasic medical insurancechildrencommercial medical insurancemedical insurance

Identifiers

PMID40421890
PMCPMC12766449

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