• Journal of Preventive Medicine and Public Health
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• 제52권1호
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• pp.51-59
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• 2019

Objectives: The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated. Methods: Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables. Results: The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and self-rated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model. Conclusions: The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.

• 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.

• 보건행정학회지
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• 제28권1호
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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.

• 대한예방한의학회지
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• 제27권1호
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• pp.17-27
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• 2023

Objectives : This study aimed to analyze the factors influencing Korean medical utilization among persons with unmet healthcare needs. Methods : This study utilized Korea Health Panel data in 2019, with 10,771. We performed a t-test and ANOVA on the difference in general characteristics between Korean medical utilization and unmet healthcare needs. Logistic regression analysis and generalized linear model analysis were conducted to analyze on factors affecting the Korean medical utilization by people with unmet healthcare needs. Results : Among people with unmet healthcare needs, the variables influencing Korean medical utilization were western medical utilization, gender, education level, musculoskeletal disease, and other chronic diseases. The more people with unmet healthcare needs, the more likely they were to use Korean medicine. As a result of logistic regression analysis, the influencing factors on Korean medical utilization were analyzed for people with unmet healthcare needs, and the higher the household income, the more musculoskeletal diseases, and the higher the probability of using Korean medicine. Conclusions : Korean medicine has a large proportion of musculoskeletal disease, so it was found that musculoskeletal diseases have an impact. In addition, considering that household income is an important factor in the influencing factor of unmet healthcare needs, it is necessary to increase the use of Korean medicine by those with low household incomes.

• 한국치위생학회지
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• 제23권2호
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• pp.125-132
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• 2023

Objectives: This study used the 2018 Korea Health Panel Survey data to analyze factors affecting employment status and income relating to unmet dental and medical care needs. Additionally it investigated measures to reduce oral health inequality among various socioeconomic classes. Methods: Descriptive statistics for the subjects' unmet dental and medical care needs were calculated through chi-square test analysis, and multivariate logistic regression analysis was applied to identify factors affecting the unmet dental and medical care needs. The odds ratio and 95% confidence interval were calculated for each level. These data were analyzed using STATA 17.0 SE (64-bit) version, and the statistical significance level was set to p<0.05. Results: As a result of unmet dental and medical care needs according to general characteristics, the lower the education level (p<0.001), the higher the age (p<0.001) and the lower the household equalization income (p<0.024) and the smoker status (p<0.003) were, respectively. Factors that have a statistically significant impact on unmet dental and medical care needs were divorce, separation and bereavement (p<0.001) in individuals than in married persons, and being smokers than non-smokers (p<0.009). The frequency of unmet dental and medical care needs were found to be lower in the cases of a high school graduate than an elementary school graduate (p<0.018), and of higher household equalization income (p<0.001) than the lowest household equalization income, respectively. Conclusions: It was found that various factors such as age, education level, household equalization income, employment status, type of working hours type, and smoking status affect unmet dental and medical care needs.

• 보건행정학회지
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• 제32권1호
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• pp.53-62
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• 2022

Background: This study was designed to examine regional proportions for people who experienced unmet health care needs due to reduced mobility or unhealthiness and factors associated with experience of unmet health care needs by them. Methods: A total of 11,620 people were retrieved from the Korea Health Panel data (2014-2018). Regional proportions for people who experienced unmet health care needs due to reduced mobility or unhealthiness were estimated using cross-sectional weights and the factors associated with them were analyzed using generalized estimating equation. Results: The number of people who experienced unmet health care needs due to reduced mobility or unhealthiness was estimated as 278,083 in 2018. Women, the aged (65+), below elementary school, single as marital status, low income, bad self-rated health, people with disabilities, and long-term insurance beneficiaries were statistically significantly associated with experience of unmet health care needs due to reduced mobility or unhealthiness. Conclusion: Given high and dispersed demand for visiting health care, government need to expand the infrastructure and finance to facilitate visiting health care.

• 정신신체의학
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• 제31권2호
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• pp.50-62
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• 2023

연구목적 유방암, 대장암, 폐암, 갑상선암 환자의 미충족 수요를 확인하고 관련 요인을 파악하고자 하였다. 방법 학술 검색을 통해 2010년 이후 출간된 암 환자 미충족 수요에 대한 논문을 선정하여 검토하였다. 결과 측정 도구는 암 생존자의 미충족 수요, 지지적 간호요구조사 설문이 주로 사용되었으며, 폐암 환자의 미충족 수요가 상대적으로 높았다. 유방암 환자는 의료시스템 및 정보, 갑상선암 환자는 사후관리와 심리문제, 대장암 환자는 심리, 종합적 암 치료, 폐암 환자는 신체 및 일상생활관리에서 미충족 수요가 높았다. 연령, 경과시간, 불안, 우울 및 디스트레스, 삶의 질은 미충족 수요와 관련이 있었다. 결론 각 환자군의 미충족 요구를 고려한다면 더욱 효과적인 치료 및 지원 프로그램 개발에 도움이 될 것이다.

• 여성건강간호학회지
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• 제26권1호
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• pp.93-103
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• 2020

Purpose: This study was conducted to identify unmet healthcare needs among man and woman one-person households and to explore related factors by gender. Methods: Data were drawn from the 2017 Korea National Health and Nutrition Examination Survey. The final sample consisted of 820 one-person households. The statistical analysis, conducted in SPSS version 20.1, included complex sampling analysis; descriptive statistics, the chi-square test, and logistic regression. Results: The demographic and socioeconomic characteristics of women in one-person households were significantly different from those of men in one-person households. Women in single-person households were mainly in their 70s or older and married, and they tended to have a low education level, low income, and no formal occupation. Unmet healthcare needs were experienced by 17.3% of women in one-person households and 13.5% of men in one-person households, which was not a statistically significant difference (χ²=2.17, p=.139). Factors related to unmet healthcare needs were subjective health status and unmet dental care needs in single-person-household men. By contrast, having experienced impairment within the past year, stress, and unmet dental care needs were factors related to unmet healthcare needs in single-person-household women. Conclusion: As one-person households become increasingly common, more attention needs to be paid to them and our understanding of them needs to be improved. Women in one-person households, in particular, are especially vulnerable, as they experience more unmet healthcare needs.

• 한국치위생학회지
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• 제22권4호
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• pp.289-295
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• 2022

Objectives: In this study, raw data from the 7th (2016-2018) of the Korea National Health and Nutrition Examination Survey were used, and a total of 2,430 people were selected as participants to analyze the factors related to unmet dental care needs in postmenopausal women. Methods: Frequency analysis, cross analysis, and logistic regression analysis were performed for general characteristics, oral health characteristics, and unmet dental care needs related factors using IBM SPSS Statistics 21.0 program. Results: The unmet dental care related factors were 1.527 times higher in the case of not having oral examinations than in the case of having oral examinations. For those who did not make use of the dental clinic, 8.667 times, 2.913 times for bad oral health, and 1.912 times for usually showed that unmet dental care was higher. Inconvenience with speaking was 1.578 times higher, and in the absence of implants, unmet dental care needs was 1.510 times higher. In the case of no chewing difficulty, was 0.380 times lower. Conclusions: Based on the above results, in order to achieve the policy goal to reduce unmet dental care needs, policy support and interest are needed above all to accurately identify and solve specific problems.

• 보건행정학회지
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• 제30권1호
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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.