• Journal of Preventive Medicine and Public Health
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• 제33권2호
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• pp.150-156
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• 2000

Objective : To analyze the factors affecting the participation rate in the health screening program of medical insurance. Method : We investigated the factors associated with the participation rate in the health screening program in Korea. Data were collected at the aggregate level from 145 employee health insurance societies and 227 self-employed health insurance societies from 1995 to 1997 Data were also collected at the individual level from four health insurance societies. This study hypothesized that the participation rate of the health screening program was related to 1) the characteristics of its members and the size of the health insurance society; 2) the specifications of the health screening program; 3) the venue of the health screening institution and the interests of individuals in the health screening program; and 4) the activities of the health insurance society. We used bivariate and multiple regression models to examine the factors on the participation rate of the health screening program. Results : First, in the case of dependents of on employee health insurance society, the ratio of dependents 40 years old and over, the average monthly contribution per household, the interest and satisfaction level of individuals in health screening, and the level of refunds for over-payment were all associated with the participation rate in the health screening program, accounting for 54.4% of the participation rate. Second, in case of those insured by the self-employed health insurance society, the interest and satisfaction level of individuals in health screening, the level of refunds for over-payment, and the performance level of on-the-spot health screening were statistically significant, accounting for 40.1% of the participation rate. Conclusion : The factors concerning the participation rate in the health screening program of medical insurance, in both a health insurance society and for individuals, were closely related to the age and gender of individuals and household contributions.

• 보건행정학회지
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• 제29권2호
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• pp.184-194
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• 2019

Background: The extent of coverage rate of the public health insurance is still insufficient to meet healthcare needs. Private health insurance (PHI) plays a role to supplement coverage level of national health insurance in Korea. It is expected that reduce unmet need healthcare. This study was aimed to identify relationship between PHI type and the unmet healthcare need and its associated factors. Methods: Data were obtained from the 2014 Korea Health Panel Survey using nationally representative sample was analyzed. Respondents were 8,667 who were adults over 20 years covered by PHI but have not changed their contract. According to the enrollment form, PHI was classified into three types: fixed-benefit, indemnity, and mixed-type. To identify factors associated with unmet needs, multiple logistic regression conducted using the Andersen model factors, which are predisposing factors, enabling factors, and need factors. Results: Our analysis found that subjects who had PHI with mixed-type were less likely to experience unmet health care needs compared than those who did not have it (odds ratio, 0.80; 95% confidence interval, 0.66-0.98). As a result of analyzing what affected their unmet healthcare needs, the significant factors associated with unmet medical need were gender, marital status, residence in a metropolitan area, low household income, economic activity participation, self-employed insured, physically disabled, low subjective health status, and health-risk factors such as current smoking and drinking. Conclusion: The results of this study suggest that having PHI may reduce experience of unmet healthcare needs. Findings unmet healthcare needs factors according to various subjects may be useful in consideration of setting policies for improving accessibility to healthcare in Korea.

• 한국병원경영학회지
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• 제28권1호
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• pp.24-36
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• 2023

Purposes: The purpose of this study was to analyze the factors associated with current smoking status in Wonju-si and Chuncheon-si, and to study the cause of difference in smoking rates between these two regions. Methodology: Data was from the National Health Insurance Service database from 2019 to 2020. Current smoking status was based on the response to the health examination questionnaire. Logistic regression analysis was conducted to identify factors associated with current smoking status. The study included 207,307 individuals from Wonju-si and 173,698 individuals from Chuncheon-si. Findings: The smoking rate of Wonju-si was 19.83%, and Chuncheon-si was 18.20%, showing a difference in the smoking rates between the two regions. Logistic regression analysis found that men, those aged 40-49, being a self-employed insured, a medical-aid beneficiary, having a lower income, working in construction, transport, storage, communication, or manufacturing industries, having a high-risk drinking level and being underweight were significantly associated with a higher likelihood of smoking(p<0.05). Additionally, having a chronic disease was associated with a lower likelihood of smoking in the case of Chuncheon-si(p<0.05). Practical Implication: This study found the differences of factors associated with smoking rates between the two regions and could provide implications for establishing intervention programs or policies that could contribute to lowering the smoking rate in areas with high smoking rates.