• Health Policy and Management
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• v.24 no.1
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• pp.24-34
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• 2014

Background: Bankrupted households have recently been increased due to excessive medical expenditure in Korea. They have not been protected from economic risk when household's member has severe diseases that need a lot of money for treatment. Purpose of this study examines policy effect by comparing unmet needs' change of policy object households and non-object groups. Methods: We used Korea Health panel 2nd 4th data collected by Korea Institute for Health and Social Affairs and National Health Insurance Service. Analysis subjects were 381 households (pre-policy) and 393 households (post-policy) that had cancer and cardiovascular and cerebrovascular diseases. Since it was major concern that estimates benefit strengthening policy started by certain time, we setup comparing households which had diabetes, hypertension disease. Comparison subjects were 393,247 households, respectively and we evaluated policy effect using difference in difference (DID) model. Results: Although unmet needs of policy object households were higher than non-object groups, policy execution variable affected negative direction. But interaction-term which shows pure effect of policy was not statistically significant. We utilized multi-DID model to examine factors affecting unmet needs causes. Copayment assistance policy did not significantly affect households that responded to 'economic reason,' and 'no have time to visit' for unmet needs causes. Conclusion: The second copayment assistance policy did not significantly give positive effect to beneficiary households than non-beneficiary groups. When we consider that primary purpose of public insurance guarantee high medical expenditure occurred by unexpected events, it needs to deliberate on switch of benefit strengthening policy that can assist vulnerable people. Also, we suggest that government forward a policy covering non-reimbursable medical expenses as well as switch of benefit strengthening direction because benefit policy do not affect non-covered medical cost which accounts for quarter of total health expenditure.

• Health Policy and Management
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• v.30 no.1
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• pp.37-49
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• 2020

Background: Unmet healthcare needs have many advantages for measuring inequalities in healthcare use. However, the existing indicator is difficult to capture the reality of unmet healthcare needs sufficiently and is not quite appropriate in comparing regional inequality. The purpose of this study is to critically analyze the utilization of the unmet healthcare need indicator for regional healthcare inequalities research. Methods: We used the level of healthcare accessibility and healthcare need to categorize the regions that are known to cause differences in healthcare utilization between regions and verified how existing unmet healthcare need indicator is distributed at the regional level. Results: Four types of regions were classified according to the high and low levels of healthcare needs and accessibility. The hypothesis about the regional type expected to have the highest unmet healthcare need was not proved. The hypothesis about the lowest expected regional type was proved, but the difference in the average rate of unmet healthcare needs among regional types was not significant. The standard deviation of the rate of unmet healthcare needs among regions within the same type was also higher than the overall regional variation, which also disproved the whole frame of hypothesis. Conclusion: Failure to prove the hypothesis means the gap between the supposed meaning of the indicator and the reality. In order to understand the current state of healthcare utilization of people in various regions of Korea and to resolve inequality, fundamental research on the in-depth structure and mechanisms of healthcare utilization is needed.

• Health Policy and Management
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• v.29 no.2
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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.

• Journal of Korean society of Dental Hygiene
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• v.19 no.1
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• pp.117-129
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• 2019

Objectives: The purpose of this study was to investigate the influence of demographic characteristics and oral health status on unmet dental needs among preschool children and to provide a basis for improvement of the dental care equality and accessibility using data from the $6^{th}$ National Health and Nutrition Survey. Methods: This study was performed using data collected from the $6^{th}$ National Health and Nutrition Survey. The subjects were 1,472 out of 22,940 people, who participated in the survey and under went oral examination. IBM SPSS Statistics (Version 20.0) was used for statistical analyses based on the complex sampling design. Frequency analysis was performed to determine the distribution of unmet dental needs according to the characteristics of the subjects. The Rao-Scott ${\chi}^2$ test was performed to examine the relationship of unmet dental needs with general characteristics and health- and oral health-related variables. Relevant factors were determined using binary logistic regression analysis. Results: The factors that had statistically significant relations with unmet dental needs included age, medical insurance, household income, limited physical activity, history of dental caries in deciduous teeth, and subjective health status. Logistic regression analysis of complex samples was conducted to determine factors related to unmet dental needs. The results of analysis showed that limited physical activity and history of dental caries in deciduous teeth were related to unmet dental needs. Conclusions: The results show the factors affecting, and the reasons for, the unmet dental needs of preschool children. Future studies are needed to develop national projects and oral health education reforms to address inequalities in preschool children's dental care.

• Journal of Preventive Medicine and Public Health
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• v.22 no.4 s.28
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• pp.578-590
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• 1989

This study was conducted to assess the equity in the regional insurance scheme through analysis of the computerized data from one regional insurance society and National Federation of Medical Insurance. We analysed the insurance contribution and benefit by the classes based on total and income-related contribution per household. The major findings of this study are as follows : 1. The average proportion of income-related contribution among the total was 39.2% and the upper classes show higher proportion of the income-related contribution. 2. The upper classes show higher health care utilization rate than the lower classes. It suggests that the lower classes have relatively large unmet medical needs. 3. The analysis through the Lorenz curve reveals that there exists transference of contributions from the upper to lower classes. But the cumulative percentage of insurance benefit is smaller than that of the number of the insured. It implies that regional medical insurance scheme in Korea has still some inequity in the context of social security principles.

• Korea Journal of Hospital Management
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• v.24 no.4
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• pp.1-12
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• 2019

Purposes: The purpose of this study, was to identify similar factors between reasons for unscreening and unmet health care needs through prior research, and based on this, we wanted to figure out the relevance between the medical screening and unmet health care needs. Methodology: The analysis was conducted using data from 9,640 adults aged 19 or older who don't have a missing value from 16,277 participants in the 7th, 1st&2nd Year (2016&2017) of the National Health and Nutrition Examination Survey (KNHANES). Unmet health care needs were investigated as a self-reported questionnaire of whether medical service was required but not received. And the analysis was performed through the Chi-Square Test and Multi-logistic Regression analysis. Findings: As a result of the analysis, unmet healthcare needs were higher who received only one type of screening comparative to who screened both. and were highest who screened neither. Practical Implications: Unmet health care needs are the center of a vicious cycle, such as morbidity and mortality, which is detrimental to the quality of life, and continues to increase. Therefore, it is necessary to find ways of realizing health care that guarantees the health rights of all citizens by policy guarantee and support for the subjects to recognize the importance of thorough education of screenings rather than only health screening or cancer screening.

• Korean Journal of Clinical Pharmacy
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• v.27 no.1
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• pp.44-54
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• 2017

Background: Mental health issues such as stress and depression have been regarded as major social problems in Korea. We investigated the relationship between stress and depression with unmet medical needs (UMN). Methods: Using the nationwide database of 2010 Korea National Health and Nutritional Examination Survey (K-NHANES), subjects aged 19 years or above were selected (n=6,055). In the K-NHANES questionnaire, subjects were asked about their UMN experience, severity of stress, and perceived depression lasting at least 2 weeks over the past year. The effects of stress and depression on UMN were analyzed in 4 models established by adding predisposing, enabling and need factors in a step-wise fashion. The risks for UMN were also assessed according to the causes of UMN. Results: Individuals who felt stress 'very often' (odds ratio (OR) 3.28, 95% CI=2.23-4.86) and 'often' (OR 2.53, 95% CI=1.93-3.31) and who experienced depression (OR 1.68, 95% CI=1.35-2.10) reported significantly elevated UMN rates, and these effects were substantial especially for the individuals who had UMN due to economic constraint. Females, lower education level, lower income, unemployed status, and negative perceptions about health status were found to be additional risk factors for UMN. Conclusion: Our results confirmed the risks of stress and depression on UMN. It is strongly advisable to create initiatives to improve mental health, particularly stress and depression, and to fulfill individuals' medical utilization needs.

• Health Policy and Management
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• v.30 no.1
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• pp.120-125
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• 2020

Unmet healthcare needs lead to increased disease severity, increased likelihood of complications, and worse disease prognosis. To examine the latest status of unmet healthcare needs in South Korea, the four different data configured with nationally representative sample of South Korean population were used: the Korea Health and Nutrition Examination Survey (KNAHANES, 2007-2018), the Community Health Survey (CHS, 2008-2018), the Korea Health Panel Survey (KHP, 2011-2016), and the Korean Welfare Panel Study (KOWEPS, 2006-2018). The proportion of individuals reporting unmet healthcare needs were 7.8% (KNHANES, 2018), 8.8% (CHS), and 10.8% (KHP, 2016). Annual percentage change which characterizes trend for the follow-up period was -9.1%, -3.2%, and -6.8%, respectively. The proportion of individuals reporting unmet healthcare needs due to cost were 1.2% (KNAHANES, 2018), 1.2% (CHS, 2018), 2.5% (KHP, 2016), and 0.5% (KOWEPS, 2018). Annual percentage change which characterizes trend for the follow-up period was -10.3%, -12.0%, -11.3%, and -18.8, respectively. The low-income population and the elderly population were vulnerable groups reporting the highest rate of unmet health care needs. The rate of unmet healthcare needs has been declining since the past decade, still, the disparity between different income groups and age groups suggests that there are many challenges to address.

• Korea Journal of Hospital Management
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• v.25 no.1
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• pp.21-31
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• 2020

Purposes: Family living with dementia patients have the burden for caring and suffer from health problems. Therefore, proper supports for their health disorders are required. The purpose of this study with regard to this is to subdivide unmet healthcare needs of family living with dementia patients into affordability, accommodation, and accessibility and figure out the relevant factors. Methodology: The 2017 Community Health Survey was used, and 2,331 families living with dementia patients was included. To figure out the factors with regard to the types of unmet healthcare needs, multinominal logistic regression analysis was conducted. Findings: According to the analysis result, sex, age, monthly household income, economic activity, self-rated health, self-rated stress and perception of depressive symptoms turned out to be the factors related to unmet healthcare needs. Regarding affordability, unmet healthcare needs were low when the object was female, over 65, highly educated, and monthly household income were high. On the other hand, unmet healthcare needs was high when self-rated health was bad, self-rated stress was high, and had depression. With regard to accommodation, unmet healthcare needs were low when the object was over 65. Unmet healthcare needs were high when the object was female, economically active and had depression, and self-rated health was high. Regarding accessibility, unmet healthcare needs were low when the object was high school graduate, but it was high when self-rated health was bad. Practical Implication: This study confirmed that the family with dementia patients had a high proportion of unmet healthcare needs due to affordability and accommodation. The existing main discussion was that the experience of unmet healthcare needs normally occurred due to economic reasons, but a consideration on various cases and factors is required to ultimately achieve the policy goal to reduce the unmet healthcare needs of the family living with dementia.

• Health Policy and Management
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• v.28 no.1
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• pp.91-94
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• 2018

Unmet healthcare needs do not end with the phenomenon itself, but lead to possibilities of increased severity of illness. Missed opportunities for treatment at the right timing increase possibilities of complications, and affect prognosis of disease. To examine current status and trends of unmet needs in Korea, we used data from four sources: the Korea National Health and Nutrition Examination Survey (KNHNES, '2007-2016); the Community Health Survey (CHS '2008-2016); the Korea Health Panel Survey (KHP '2011-2014); and the Korean Welfare Panel Study (KOWEPS '2006-2016). The proportion of individual reporting unmet healthcare needs as of 2016 was 8.8% (KNHNES), 11.5% (CHS), and 12.8% (KHP, as of 2014). Annual percentage change which characterizes trend for the follow-up period was -9.9%, -3.1%, and -1.3%, respectively. The proportion of individuals reporting unmet healthcare needs due to cost was 1.8% (KNHNES), 1.5% (CHS), and 3.0% (KHP). The proportion of households reporting unmet healthcare needs due to cost was 1.0% (KOWEPS). Annual percentage change was -10.0%, -15.2%, -5.4%, and -17.5%, respectively. Low income populations had more unmet healthcare needs than high income populations. Therefore, in order to improve unmet healthcare needs, it is necessary to focus on low income populations.