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KMID : 0613620170370040294
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Health Social Welfare Review
2017 Volume.37 No. 4 p.294 ~ p.335
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A Decision-Tree Analysis of Influential Factors and Reasons for Unmet Dental Care in Korean Adults
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Yoo Se-Hee
Park Il-Su
Kim Yoo-Mi
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Abstract
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The purpose of this study was to analyze the factors affecting the unmet dental care of adults using decision trees and to classify them according to the risk group of unmet dental care and the group of reasons for unmet dental care. The data are 15,918 adults aged 19 and over in the National Health and Nutrition Examination Survey during the 6th period (2013 - 2015). The variables used in the study were socio-demographic characteristics, health behavior characteristics, mental health characteristics, oral health characteristics. Data were analyzed by composite sample, decision tree, and logistic regression analysis. The results of this study are as follows. Dental complaints such as mastication discomfort were the most important factors affecting unmet dental care, followed by household income level, stress, age, economic activity status. 67.8% of those who have a complaint of mastication discomfort, low income and medical aid-insured group 65 years old or older experienced unmet dental care. This is over two times compared with overall unmet dental care experience 31.3%. In addition, the reason for the unmet dental care was classified according to the stages of the access model to health care. The results were as follows: recognition of dental needs (12.5%), dental care pursuit (21.8%), dental
reach (27.0%), and use of dental care (36.9%). This study analyzed systematically the factors and reasons of unmet dental care using a health care access model and decision tree analysis. In order to improve accessibility of dental care, interventions such as health education and social support are needed for each type of unmet dental health risk group, especially classified according to early stages of access to health care such as first stage of perception of needs and desire for care and second stage of health care seeking.
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KEYWORD
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Unmet Dental Care, Healthcare Accessibility Model, Decision Tree, Logistic Regression, Data Mining
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