Evidence map›Paper›PMID 36498060›Full record

ArticleInternational journal of environmental research and public health2022

The Impact of Social Capital on Rural Residents' Medical Service Utilization in China-An Empirical Study Based on CFPS Data.

Hongyun Zhou, Jiqing Hong, Su Yang, Yuxuan Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

4 authors.

Hongyun ZhouSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.
Jiqing HongSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.ORCID 0000-0003-4669-4637
Su YangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.
Yuxuan HuangSchool of Environment, Education and Development, The University of Manchester, Manchester M13 9PL, UK.

Funding

"the Fundamental Research Funds for the Central Universities", Zhongnan University of Economics and Law 2722021BX022
6 · The paper itself

Abstract

Based on CFPS data, the article analyzes the impact of social capital on the utilization of medical services by rural residents in China using binary logit and multinomial logit models. The social capital includes two dimensions: cognitive social capital and structural social capital, and the indicators of medical service utilization are "whether to seek medical treatment when sick" and "choice of medical institution". This paper concludes that: (1) among the cognitive social capital, special trust and religious beliefs have a significant positive influence on whether rural residents choose to seek medical treatment when they are sick; (2) among the structural social capital, social participation has a significant positive influence on choice of medical institution, and social network has a significant positive influence on the choice of township health center, specialty hospital, and general hospital. According to the empirical results, this paper proposes the following suggestions. The trust mechanism of rural society should be reconstructed, the positive role of religious beliefs should be given full play, the healthy development of social networks should be promoted, and the rural social organizations should be fostered and developed.

Indexed as

Social CapitalChinaHealth StatusHumansRural PopulationSocial Participationmedical institutionmedical service utilizationrural residentsrural revitalizationsocial capital

Identifiers

PMID36498060
PMCPMC9738421

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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.