Evidence map›Paper›PMID 39856669›Full record

ArticleBMC health services research2025

Medical insurance-related professionals' identification of the benefits of the medical insurance system in Northeast China: a cross-sectional study.

Zili Zhou, Huan Liu, Linghan Shan, Ye Li, Xin Zhang, Jiahui Wang, Zheng Kang, Mingli Jiao, Yanhua Hao, Yangguang Chen and 1 more

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 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zili ZhouDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Huan LiuDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Linghan ShanDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Ye LiDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Xin ZhangDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Jiahui WangSchool of Politics and Public Administration, Soochow University, No.199 Renai Road, Wuzhong District, Suzhou, 215123, China.
Zheng KangDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Mingli JiaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Yanhua HaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China.
Yangguang ChenDepartment of Health Management, School of Nursing, Guilin Medical University, No.1 Zhiyuan Road, Lingui District, Guilin, 541199, China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, 150081, China. wuqunhong@163.com.

Funding

the National Social Science Foundation of China No.19AZD013
6 · The paper itself

Abstract

backgroundThe identification of the benefits of the medical insurance system (IBMIS) serves as an important indicator of the effectiveness of medical insurance policy implementation and provides valuable feedback during the ongoing reform phase of the medical insurance system (MIS). This research aims to analyze the IBMIS from the perspective of medical insurance-related professionals and to identify potential associate factors with IBMIS.

methodsIn 2021, we conducted a cross-sectional questionnaire survey (n = 1829) in Heilongjiang Province, located in Northeast China, to collect data. Interviewees were selected using a multi-stage stratified cluster random sampling method. A binary logistic regression model was employed to identify the factors influencing the IBMIS.

resultsOverall, 66% (1,207) of professionals associated with medical insurance exhibited a high IBMIS. The logistic regression model indicated that a high IBMIS was positively correlated with the following dimensions: policy capacity (OR = 1.562, 95% CI: 1.375-1.775), financial burden (OR = 1.512, 95% CI: 1.347-1.699), and convenience (OR = 1.300, 95% CI: 1.171-1.442). Four significant factors (P < 0.05) contributing to a high IBMIS include: "Relief of financial burden for people with serious diseases" (OR = 2.288, 95% CI: 1.740-3.007), "Medical insurance's ability to address major problems that people expect" (OR = 1.565, 95% CI: 1.175-2.085), "Governance capacity of the medical insurance administrative agencies and management institutions" (OR = 1.472, 95% CI: 1.111-1.951), and "Effectiveness of governance for off-site medical reimbursement issues" (OR = 1.445, 95% CI: 1.036-2.014).

conclusionThe policy capacity, financial burden, and convenience of the MIS have a positive impact on the IBMIS. Government departments can pay closer attention to these factors and formulate targeted intervention measures to improve the implementation effectiveness of medical insurance policies.

Indexed as

Insurance BenefitsInsurance, HealthAdultChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesBinary logistic regressionIdentification of the benefitsMedical insurance-related professionalsMedical insurance system

Identifiers

PMID39856669
PMCPMC11762069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.