• 한국노년학
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• v.40 no.4
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• pp.707-727
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• 2020

This study aims to empirically analyze the role that perception of the probability of lonely death among the elderly people living alone plays in the relationship between perceived social support and preference for institutional care based on Andersen's expanded Behavioral Model (2002). The subjects (n=676) of this study were the elderly people living alone, extracted from the "2018 Seoul Aging Survey." With "perceived social support" as an independent variable, "preference for institutional care" as a dependent variable, and "perception of the probability of lonely death" as a mediator variable, we conducted a Binary Logistic Regression to follow the three steps of analyzing mediation effect, as suggested by Baron and Kenny (1986). The results showed that perceived social support has a negative effect on the preference for institutional care and perception of the probability of lonely death among the elderly people living alone; at the same time, perception of the probability of lonely death was found to have a positive effect on their preference for institutional care. Lastly, perception of the probability of lonely death was found to partially mediate the effect of perceived social support among the elderly people living alone in terms of their preference for institutional care. Based on these findings, the practical implications of this study can be summarized as follows. First, various programs and support should be provided to the elderly people living alone in order to enhance the level of perceived social support, a factor that has been confirmed to increase preference for institutional care among the elderly people living alone. Second, as the perception of the probability of lonely death was confirmed to be a psychosocial factor of the preference for institutional care, we need to promote education and support for older people living alone to prepare them for lonely death. These efforts are expected to form a foundations for implementing a community-based integrated care system, "Aging in Place," which is the policy direction required for older people care.

• Health Policy and Management
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• v.10 no.3
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• pp.1-18
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• 2000

This study was conducted to find medical care utilization pattern and to examine the affecting factors on medical facilities utilization using Andersen's medical care service behavioral model. Three hundreds and five public officials with detected disease through the health examination in 1998 were surveyed using self-administered questionnaire. And 230 data were available and analyzed. The results of this study were summarized as follows: Among variables of predisposing factors, knowledge for disease, confidence about periodic health examination program in health insurance, and the attitude toward medical utilization in the usual showed significant relations with the medical utilization. Other variables were not related with the medical utilization. Variables of enabling factors did not show significant relations with the medical utilization. Recognition of family members for detected disease had significant relations with the medical utilization. Among variables of need factors, absence caused by detected disease was significantly related with the medical utilization. The number of non-occupational diseases detected, but untreated people were 75(32.6%) of total subjects, mainly because detected diseases seemed insignificant to them. With multiple logistic regression analysis, the significant variables having an effect on the medical facilities utilization were 'knowledge for disease', 'attitude toward medical utilization in the usual', 'recognition of family members for detected disease' and 'experience of absence caused by detected disease'. On considerations of above findings, counselling for detected disease and its treatment, health education for individuals and program for family support promotion are needed for health management of public officials with diseases detected in health examination.

• Health Policy and Management
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• v.31 no.2
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• pp.197-206
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• 2021

Background: The purpose of this study was to identify factors affecting unmet healthcare needs due to physical accessibility by residential area by utilizing the Korea Community Health Survey (KCHS). Methods: Andersen's medical service behavioral model was applied to analyze the enabling factors, predisposing factors, and needs factors of unmet healthcare needs focusing on residential areas. This study used data from the KCHS (2017-2019, n=440,792). We used multivariate survey logistic regression analysis in order to identify affecting factors. Sub-group analysis was conducted in order to evaluate the effects of residential areas. Results: Some participants (2,621, 0.59%) had experienced unmet healthcare needs due to physical accessibility and 2,047 subjects (78.1%) of them lived in rural areas. Multivariate survey logistic regressions revealed that experience of unmet healthcare needs due to physical accessibility increased when people lived in rural areas (odds ratio [OR], 3.95; 95% confidence interval, 3.46-4.51). Conclusion: This study showed that despite the development of transportation and efforts to alleviate medical inequality, residents in rural areas may still have higher experience of unmet healthcare needs due to physical accessibility compared to the metropolitan city regardless of any other sub-group differences (OR range, 1.90-6.31). This study suggested that government and policymakers should identify the causes of the experience of unmet healthcare needs due to physical accessibility and should develop policies to alleviate those healthcare disparities.

• Health Policy and Management
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• v.33 no.4
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• pp.389-399
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• 2023

Background: The purpose of this study is to analyze the factors affecting the unmet healthcare needs of older people with chronic diseases in Korea and provide a basic research report to strengthen their access to medical care. Methods: In the 2020 older people survey data, 8,182 older people aged 65 or older who were diagnosed with one or more chronic diseases were the final subjects of the study. According to Andersen's behavioral model used in unmet healthcare needs, independent variables were composed of predisposing factors, possible factors, and necessary factors, and whether or not unmet healthcare needs was set as dependent variable. Results: Of the older people with chronic diseases, 1.6% experienced unmet healthcare needs, of which 55.9% experienced unmet healthcare needs for reasons related to economic burden, 31.6% physical constraints, and 12.5% time constraints. As a result of the analysis, older people with chronic diseases were more likely to experience unmet healthcare needs if they were relatively low in age, low in education level, no spouse, low in household income, poor subjective health, complex chronic diseases, and functional restrictions. However, by major reasons for experiencing unmet healthcare needs, living in rural areas were more likely to experience unmet healthcare needs due to physical constraints, and those who participated in economic activities and who had were more likely to experience unmet healthcare needs due to time burden. These results were not derived when only unmet healthcare needs was set as the dependent variable. Conclusion: This study emphasizes the need for an approach by cause of unmet medical occurrence by suggesting that there are differences in influencing factors by reason for experiencing unmet healthcare needs.