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

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. A classification tree model was established using the exhaustive chi-square automatic i...

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Veröffentlicht in:Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban 2022-03, Vol.53 (2), p.310-315
Hauptverfasser: He, Lei, Gao, Bo, Ren, Xiao-Hui, Chai, Qi, Zhou, Zhao-Fei
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Sprache:chi
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Zusammenfassung: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. 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. 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 [ ]=0.660, 95% confidence interval [ ]: 0.502-0.869), community social capital ( =0.746, 95% : 0.589-0.943), and individual social capital ( =0.405, 95% : 0.287-0.572) (
ISSN:1672-173X
DOI:10.12182/20220360107