Evidence map›Paper›PMID 40630405›Full record

ArticleFrontiers in public health2025

Study on the willingness to enroll in the urban and rural residents basic medical insurance: from the perspectives of policy awareness and institutional trust.

Qunjun Yu, Ya He, Luyan Li, Danni Xu, Yalin Li, Qin Yin, Ye Lu, Mei He, Sha Ma

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

9 authors.

Qunjun Yu *Department of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Ya He *Medical Insurance Office, Dali Bai Autonomous Prefecture Psychiatric Hospital (The Second People's Hospital of Dali Bai Autonomous Prefecture), Dali, Yunnan, China.
Luyan Li *Department of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Danni Xu *Department of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Yalin LiDepartment of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Qin YinDepartment of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Ye LuDepartment of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Mei HeDepartment of Social Security, School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
Sha MaDepartment of Pharmacy, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Achieving universal health coverage remains a global health priority. Understanding factors that influence individuals' willingness to enroll in basic medical insurance is essential for system sustainability. Objectives: This study aims to examine the impact of policy awareness and institutional trust on the willingness of urban and rural residents to enroll in the Urban and Rural Residents Basic Medical Insurance (URRBMI), with implications for policy refinement. The goal is to improve the precision of policy implementation and encourage broader insurance enrollment, supporting system sustainability. Methods: A survey of 563 residents was conducted in a county of Yunnan Province, China. Descriptive analysis of respondent demographics was followed by multiple linear regression, using policy awareness, policy expectation and institutional trust as independent variables, and demographics as control variables, to identify significant factors affecting enrollment willingness. Results: The results of the survey showed that 87.4% of respondents were enrolled in the URRBMI. The regression model, with an adjusted Conclusion: Policy awareness and institutional trust are key determinants of enrollment willingness, with age and income playing roles. Policy education and communication should be refined, leveraging big data for targeted outreach and flexible payment options to enhance enrollment and system sustainability.

Indexed as

Health PolicyInsurance, HealthRural PopulationTrustUrban PopulationAdultAgedAwarenessChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultenrollment willingnessinstitutional trustpolicy awarenesspolicy refinementURRBMI

Identifiers

PMID40630405
PMCPMC12234447

What OpenQuestion holds

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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.