Evidence map›Paper›PMID 35332735›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2022

[Impact of Social Capital on Residents' Choice of Medical Institutions: A Study Based on Classification Tree Model and Logistic Regression].

Lei He, Bo Gao, Xiao-Hui Ren, Qi Chai, Zhao-Fei Zhou

Abstract read
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2022. 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Lei HeDepartment of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Bo GaoDepartment of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Xiao-Hui RenDepartment of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Qi ChaiDepartment of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Zhao-Fei ZhouDepartment of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influence of social capital on the local residents' choice of medical institutions and to provide a reference basis for promoting diagnosis and treatment services available at different tiers. Methods: A classification tree model was established using the exhaustive chi-square automatic interaction detection (Exhaustive CHAID) method to screen for factors influencing the residents' choice of medical institutions, and a logistic regression model was used to quantitatively analyze the interaction effect of the influencing factors. Results: The classification tree model showed that there were four layers and eight terminal nodes, identifying a total of six influencing factors, including individual social capital, self-reported physical health, education, community social capital, chronic disease prevalence, and self-reported mental health. Logistic regression analysis showed that education (odds ratio [ Conclusion: Interventions in terms of social capital factors should be considered in order to promote the rational use of medical resources.

Indexed as

Social CapitalHumansLogistic ModelsMental HealthOdds RatioResidence CharacteristicsInfluencing factorsMedical institution selectionSocial capital

Identifiers

PMID35332735
PMCPMC10409370

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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.