Evidence map›Paper›PMID 40620560›Full record

Observational studyFrontiers in public health2025

Factors influencing healthcare-seeking behavior and its process analysis among ethnic minority residents: a qualitative study in rural China.

Shu Wei, Haifeng Long, Yu Tian

Abstract readObservational Study
In one paragraph

Observational study 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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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

3 authors.

Shu WeiCollege of Humanities and Social Development, Northwest Agriculture and Forestry University, Yangling, China.
Haifeng LongCollege of Humanities and Social Development, Northwest Agriculture and Forestry University, Yangling, China.
Yu TianSchool of Public Affairs, Zhejiang Shuren University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare-seeking behavior is a crucial foundation for improving the rational use of healthcare resources and enhancing community health. Existing studies have predominantly focused on quantitative analyses of healthcare-seeking choices and their determinants based on the Homo Economicus assumption, while neglecting the analysis of sociocultural processes underlying healthcare-seeking behavior. Methods: This study employed participant observation and in-depth interviews to investigate thirty-two residents from ethnic minority rural areas, with selected typical cases subjected to focused discussion. Based on the theoretical perspective of social capital, this paper explores and analyzes the healthcare-seeking behavior and its underlying logic in ethnic minority rural areas. Results: The findings suggest that institutional trust and interpersonal trust influence patients' choices between formal and informal medical systems. Medical care information, as a prerequisite for patients' decisions, flows differently within ethnic relationship networks and community social networks. Institutional and cultural norms collectively influence healthcare service behaviors and provide support for patients' healthcare-seeking behavior. Conclusion: The adjustment of social medical policy should be guided by the advantages of the formal medical system and the informal medical system, so that the primary medical system can provide high-quality medical services for local residents.

Indexed as

EthnicityMinority GroupsPatient Acceptance of Health CareRural PopulationAdultChinaFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchTrustethnic medicinehealthcare-seeking behaviorphysician-patient trustsocial capitalsocial norms

Identifiers

PMID40620560
PMCPMC12226278

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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.