Evidence map›Paper›PMID 40567991›Full record

ArticleFrontiers in public health2025

Community integration enhances migrants' satisfaction with primary care across districts with varying economic levels: survey evidence from Guangzhou, China.

Yao Xiao, Sisi Zhong, Lingshan Chen, Diwen Xiao, Wenhao Huang, Shangjian Wu, Luwen Zhang

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yao Xiao *School of Health Management, Guangzhou Medical University, Guangzhou, China.
Sisi Zhong *School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lingshan ChenSchool of Health Management, Southern Medical University, Guangzhou, China.
Diwen XiaoInstitute of Public Administration, Party School of the Guangdong Provincial Committee of CPC, Guangzhou, China.
Wenhao HuangSchool of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, China.
Shangjian WuSchool of Health Management, Guangzhou Medical University, Guangzhou, China.
Luwen ZhangSchool of Health Management, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the satisfaction of migrant populations in Guangzhou with primary care and explored how community integration and economic development at the district level influenced this satisfaction. This study aimed to provide empirical evidence and recommendations for improving primary care utilization and community integration among migrant populations. Methods: We conducted a stratified random sampling of 1,996 migrant individuals from seven districts in Guangzhou. A custom-designed questionnaire was used to collect data on demographic characteristics, satisfaction with primary care, and community integration, including willingness to seek help, neighborhood interactions, and participation in community activities. Multi-variate linear regression analysis was used to identify factors associated with satisfaction with primary care. Results: The mean satisfaction score for primary care was 3.29 ± 0.76. Participation in community activities was positively associated with satisfaction, with participants often reporting higher scores (increases of 0.08 and 0.28 points, respectively; Conclusion: Although migrant populations in Guangzhou generally report high satisfaction with primary care, their level of community integration remains limited. Enhancing community public services and fostering a stronger sense of community belonging are promising strategies for improving primary care management and services for migrant populations.

Indexed as

Patient SatisfactionPrimary Health CareTransients and MigrantsAdolescentAdultChinaFemaleHumansMaleMiddle AgedResidence CharacteristicsSocioeconomic FactorsSurveys and QuestionnairesYoung Adulteconomic levelmigrant populationprimary caresatisfactionsocial integration

Identifiers

PMID40567991
PMCPMC12187602

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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.