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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| container_issue | 2 |
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| container_title | Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban |
| container_volume | 53 |
| creator | He, Lei Gao, Bo Ren, Xiao-Hui Chai, Qi Zhou, Zhao-Fei |
| description | 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) ( |
| doi_str_mv | 10.12182/20220360107 |
| format | Article |
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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) (
<0.001) had an impact on residents' choice of medical institution. There was an interaction between individual social capital and self-reported physical health on residents' choice of medical institution (
=1.872, 95%
: 1.180-2.969,
<0.05).
Interventions in terms of social capital factors should be considered in order to promote the rational use of medical resources.</description><identifier>ISSN: 1672-173X</identifier><identifier>DOI: 10.12182/20220360107</identifier><identifier>PMID: 35332735</identifier><language>chi</language><publisher>China</publisher><subject>Humans ; Logistic Models ; Mental Health ; Odds Ratio ; Residence Characteristics ; Social Capital</subject><ispartof>Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban, 2022-03, Vol.53 (2), p.310-315</ispartof><rights>Copyright© by Editorial Board of Journal of Sichuan University (Medical Sciences).</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c169t-e091ddfff684ed391e88fa7f6df458ec41537879f50ee32336d19577ebfff3f23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35332735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Lei</creatorcontrib><creatorcontrib>Gao, Bo</creatorcontrib><creatorcontrib>Ren, Xiao-Hui</creatorcontrib><creatorcontrib>Chai, Qi</creatorcontrib><creatorcontrib>Zhou, Zhao-Fei</creatorcontrib><title>Impact of Social Capital on Residents' Choice of Medical Institutions: A Study Based on Classification Tree Model and Logistic Regression</title><title>Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban</title><addtitle>Sichuan Da Xue Xue Bao Yi Xue Ban</addtitle><description>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) (
<0.001) had an impact on residents' choice of medical institution. There was an interaction between individual social capital and self-reported physical health on residents' choice of medical institution (
=1.872, 95%
: 1.180-2.969,
<0.05).
Interventions in terms of social capital factors should be considered in order to promote the rational use of medical resources.</description><subject>Humans</subject><subject>Logistic Models</subject><subject>Mental Health</subject><subject>Odds Ratio</subject><subject>Residence Characteristics</subject><subject>Social Capital</subject><issn>1672-173X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo1kDtPwzAUhT2AaFW6MSNvsAT8SOyErUQ8KrVCokVii9z4ulhK4hA7Q38C_xpXlOkM9_vOkS5CV5TcUUZzds8IY4QLQok8Q1MqJEuo5J8TNPfe7gihlPAilxdowjPOmeTZFP0s217VATuDN662qsGl6m2I6Tr8Dt5q6IK_weWXszUcsTVoW8f7svPBhjFY1_kHvMCbMOoDflQe9NEtGxVXTUSPBN4OAHjtNDRYdRqv3N5GvY4T-wEi6LpLdG5U42F-yhn6eH7alq_J6u1lWS5WSU1FERIgBdXaGCPyFDQvKOS5UdIIbdIshzqlGZe5LExGADjjXGhaZFLCLjrcMD5Dt3-9_eC-R_Chaq2voWlUB270FRNpShgXUkT0-oSOuxZ01Q-2VcOh-n8f_wWYWXD4</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>He, Lei</creator><creator>Gao, Bo</creator><creator>Ren, Xiao-Hui</creator><creator>Chai, Qi</creator><creator>Zhou, Zhao-Fei</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>202203</creationdate><title>Impact of Social Capital on Residents' Choice of Medical Institutions: A Study Based on Classification Tree Model and Logistic Regression</title><author>He, Lei ; Gao, Bo ; Ren, Xiao-Hui ; Chai, Qi ; Zhou, Zhao-Fei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c169t-e091ddfff684ed391e88fa7f6df458ec41537879f50ee32336d19577ebfff3f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2022</creationdate><topic>Humans</topic><topic>Logistic Models</topic><topic>Mental Health</topic><topic>Odds Ratio</topic><topic>Residence Characteristics</topic><topic>Social Capital</topic><toplevel>online_resources</toplevel><creatorcontrib>He, Lei</creatorcontrib><creatorcontrib>Gao, Bo</creatorcontrib><creatorcontrib>Ren, Xiao-Hui</creatorcontrib><creatorcontrib>Chai, Qi</creatorcontrib><creatorcontrib>Zhou, Zhao-Fei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Lei</au><au>Gao, Bo</au><au>Ren, Xiao-Hui</au><au>Chai, Qi</au><au>Zhou, Zhao-Fei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of Social Capital on Residents' Choice of Medical Institutions: A Study Based on Classification Tree Model and Logistic Regression</atitle><jtitle>Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban</jtitle><addtitle>Sichuan Da Xue Xue Bao Yi Xue Ban</addtitle><date>2022-03</date><risdate>2022</risdate><volume>53</volume><issue>2</issue><spage>310</spage><epage>315</epage><pages>310-315</pages><issn>1672-173X</issn><abstract>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) (
<0.001) had an impact on residents' choice of medical institution. There was an interaction between individual social capital and self-reported physical health on residents' choice of medical institution (
=1.872, 95%
: 1.180-2.969,
<0.05).
Interventions in terms of social capital factors should be considered in order to promote the rational use of medical resources.</abstract><cop>China</cop><pmid>35332735</pmid><doi>10.12182/20220360107</doi><tpages>6</tpages></addata></record> |
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| ispartof | Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban, 2022-03, Vol.53 (2), p.310-315 |
| issn | 1672-173X |
| language | chi |
| recordid | cdi_proquest_miscellaneous_2644023676 |
| source | MEDLINE; PubMed Central; Alma/SFX Local Collection |
| subjects | Humans Logistic Models Mental Health Odds Ratio Residence Characteristics Social Capital |
| title | Impact of Social Capital on Residents' Choice of Medical Institutions: A Study Based on Classification Tree Model and Logistic Regression |
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