Evidence map›Paper›PMID 40389972›Full record

ArticleBMC health services research2025

Quantitative evaluation of China's commercial health insurance policies based on the policy modeling consistency index model.

Liujin Zhang, Wenwen Ma, Chao Zheng, Jiling Song, Qiang Sun, Jia Yin

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Liujin Zhang *Center for Health Policy and Health Economics, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, China.
Wenwen Ma *Weihai City Health Commission, Weihai, 264200, China.
Chao ZhengShandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250031, China.
Jiling SongZhucheng People's Hospital, Weifang, 261000, China.
Qiang SunDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Jia YinDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. yinjia@sdu.edu.cn.

Funding

Youth Project of Natural Science Foundation of Shandong Province ZR2022QG034
6 · The paper itself

Abstract

objectiveThis study aims to quantitatively evaluate China's commercial health insurance (CHI) policies and provide a reference for improving the policy.

methodsBy means of the text mining and literature research method, the Policy Modeling Consistency Index (PMC-index) model of CHI policies was constructed. The model was used to analyze the 22 policies individually and as a whole to describe the current situation of CHI policies in China.

resultsThe PMC-index model consisted of 10 primary variables and 41 secondary variables. This study found that the average PMC index of the 22 policies included is 7.48, suggesting that existing policies are generally of high quality. Among them, good policies accounted for 18.18%, and excellent policies accounted for 81.82%. Among the primary variables, X10 (policy disclosure) had the highest score, and the scores of other primary variables were ranked as X3 (policy recipients) > X5 (policy content) > X6 (policy tools) > X8 (cooperation and connection) > X7 (content evaluation) > X1 (policy nature) > X9 (policy goals) > X4 (policy incentives) > X2 (policy timeliness).

conclusionsAt present, China's CHI policies are generally at an excellent level. However, there is still room for improvement with regard to "policy incentives, policy goals, content evaluation, policy tools and policy content". We recommend that policymakers optimize China's CHI policies by improving the policy incentive mechanism; balancing policy goals; clarifying task distribution; optimizing policy tool structure; and developing inclusive health insurance.

Indexed as

Health PolicyInsurance, HealthChinaHumansCommercial health insuranceCurrent statusOptimizationPMC-index modelQuantitative evaluation

Identifiers

PMID40389972
PMCPMC12087023

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.