ABSTRACT
BACKGROUND: The purpose of this study was to investigate the determinants of North Korean refugees' trust in South Korea health service. METHODS: This study surveyed 168 North Korean refugees aged 19 and over living in Seoul, Gyeonggi, Incheon, and Gangwon. The collected data were analyzed by frequency analysis, t-test, analysis of variance, and hierarchical regression analysis to analyze the effect on the trust of refugees. RESULTS: The difference analysis showed statistically significant difference according to duration of residence and employment status. The determinants of North Korean refugees' trust in South Korea health services were duration of residence, basic communication skills, health communication skills, and experience of health service. CONCLUSION: In order to increase the trust of North Korean defectors in South Korea medical services, it is necessary to resolve communication problems and improve the satisfaction of health services. For this, the interpreter service should be activated. And specific education should be given to the North Korean refugees about the health care system and the utilization methods of health service in Korea.
Subject(s)
Humans , Delivery of Health Care , Education , Employment , Health Communication , Health Services , Korea , Refugees , SeoulABSTRACT
OBJECTIVES: This study aimed to investigate the factors related to cancer screening behaviors (CSB). METHODS: The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used. RESULTS: Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences. CONCLUSIONS: To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.
Subject(s)
Humans , Alcohol Drinking , Body Mass Index , Chronic Disease , Demography , Diagnostic Self Evaluation , Early Detection of Cancer , Employment , Family Characteristics , Health Behavior , Health Surveys , Logistic Models , Marital Status , Propensity Score , Smoke , SmokingABSTRACT
OBJECTIVES@#This study aimed to investigate the factors related to cancer screening behaviors (CSB).@*METHODS@#The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used.@*RESULTS@#Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences.@*CONCLUSIONS@#To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.
ABSTRACT
OBJECTIVES: This study aimed to investigate the factors related to cancer screening behaviors (CSB).METHODS: The 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used.RESULTS: Logistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences.CONCLUSIONS: To improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.