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 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | chi |
Schlagworte: | |
Online-Zugang: | Volltext |
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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) ( |
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ISSN: | 1672-173X |
DOI: | 10.12182/20220360107 |