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http://dx.doi.org/10.14400/JDC.2015.13.1.353

A Study on Regional Variations for Disease-specific Cardiac Arrest  

Park, Il-Su (Dept. of Health, The Uiduk University)
Kim, Eun-Ju (Dept. of Health Policy and Management, The Inje University)
Kim, Yoo-Mi (Dept. of Clinical Administration, The Sangji University)
Hong, Sung-Ok (Korea Centers for Disease Control & Prevention)
Kim, Young-Taek (Korea Centers for Disease Control & Prevention)
Kang, Sung-Hong (Dept. of Health Policy and Management, The Inje University)
Publication Information
Journal of Digital Convergence / v.13, no.1, 2015 , pp. 353-366 More about this Journal
Abstract
The purpose of this study was to examine how region-specific characteristics affect the occurrence of cardiac arrest. To analyze, we combined a unique data set including key indicators of health condition and cardiac arrest occurrence at the 244 small administrative districts. Our data came from two main sources in Korea Center For Disease Control and Prevention (KCDC): 2010 Out-of-Hospital Cardiac Arrest Surveillance and Community Health Survey. We analyzed data by using multiple regression, geographically weighted regression and decision tree. Decision tree model is selected as the final model to explain regional variations of cardiac arrest. Factors of regional variations of cardiac arrest occurrence are population density, diagnosis rates of hypertension, stress level, participating screening level, high drinking rate, and smoking rate. Taken as a whole, accounting for geographical variations of health conditions, health behaviors and other socioeconomic factors are important when regionally customized health policy is implemented to decrease the cardiac arrest occurrence.
Keywords
Cardiac arrest; Regional variations; Geographically weighted regression; Decision tree; Decision tree classification model rule;
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