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.
Kim, Youngsoo;Kim, Saerom;Jeong, Seungmin;Cho, Sang Guen;Hwang, Seung-sik
Journal of Preventive Medicine and Public Health
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v.52
no.1
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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.
Unmet healthcare is an important indicator to measure accessibility of healthcare services. To examine the latest status of unmet healthcare needs in South Korea, four different data which is composed of nationally representative sample of South Korean population were used; the Korea National Health and Nutrition Examination Survey (KNHANES, 2007-2020), the Community Health Survey (CHS, 2008-2020), the Korea Health Panel Survey (KHP, 2011-2018), and the Korean Welfare Panel Study (KOWEPS, 2006-2020). The proportion of individuals reporting unmet healthcare needs were 6.4% (KNHANES), 5.4% (CHS), and 12.2% (KHP). Annual percentage change (APC) which identifies trend for the follow-up period was -9.9%, -9.1%, and -5.5%, respectively. The proportion of individuals reporting unmet healthcare needs due to cost were 1.0% (KNHANES), 0.4% (CHS), 2.2% (KHP), and 0.4% (KOWEPS). The APC was -11.3%, -17.0%, -12.2%, and -21.2%, respectively. Overall, the low-income and the elderly population reported a higher rate of unmet health care needs. Although the overall experience rate of unmet medical care due to cost decreased over the past decade, the disparity between the lowest and highest income groups still remained in 2020. Disparity between income levels and age groups is a challenge to address in healthcare system, and these results suggest the need for adequate health coverage for the low-income and the elderly populations.
Background: Although a direct association has been established between oral health management and maintaining military combat readiness and fulfilling defense duties, unmet dental-care needs have been consistently reported, and there has been little research on the role of mobile healthcare services in addressing this issue. This study explored the association between unmet dental-care needs and the intention to use mobile healthcare services among military personnel. Methods: This study was conducted on military personnel who visited a military hospital in Gyeonggi-do, Korea, from August 19 to August 31, 2024. A total of 150 self-administered questionnaires were distributed and 135 valid responses were analyzed. The analysis included general characteristics, dental care utilization, and intention to use mobile healthcare services. Statistical analyses, such as t-tests, ANOVA, and multiple regression, were employed to determine the factors influencing the intention to use mobile healthcare services. Results: This study found that military personnel with unmet dental-care needs had significantly higher intentions to use mobile healthcare services than those without such needs. The analysis revealed that the key factors influencing this intention were perceived health status and previous dental-care utilization. Specifically, participants who rated their overall health as better and those who had used dental care services in the past year showed a greater tendency to express interest in mobile healthcare services than those who did not. Furthermore, unmet dental-care needs were more prevalent among soldiers who reported limited access to dental facilities owing to time constraints or a lack of prioritization of oral health, which increased their inclination toward utilizing mobile healthcare solutions as an alternative. Conclusion: Mobile healthcare solutions can offer personalized and timely care as viable alternatives for improving oral health management in the military. Moreover, integrating mobile healthcare services into military health systems could significantly reduce unmet dental-care needs and enhance overall combat readiness by promoting better health outcomes.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.12
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pp.306-313
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2019
This study endeavors to provide basic data for healthcare policy development by identifying factors that influence the unmet healthcare needs of the elderly with chronic diseases. The study utilized data from the 2017 Korean National Survey on the Elderly, and analyzed 9,117 elders afflicted with more than 1 chronic disease. We determined that 851 (9.3%) elders experienced unmet healthcare needs from hospital & clinical treatment, and 1,469 (16.1%) elders experienced unmet dental treatment. 'Economic difficulty' was the most common reason expressed by 425 (49.9%) elders for unmet healthcare needs from hospital and clinical treatment, and by 1,066 (72.6%) elders for dental treatment. Furthermore, unmet healthcare needs in hospital and clinical treatment were affected by various factors, including spouse, education, self-rated health status and exercise, whereas unmet healthcare needs in dental treatment were affected by factors such as spouse, education, medical aids, self-rated health status, smoking, and exercise. Based on the research results achieved, we propose a necessity to establish healthcare policies that consider the influencing factors, and help resolve the unmet healthcare needs of the elderly with chronic diseases.
Objectives: In rural areas of Korea, where public transportation infrastructure is lacking and alternative systems are poor, the elderly experience inconveniences in using healthcare, although their need is high. This study aimed to analyze the association between the convenience of transportation and unmet healthcare needs among the rural elderly. Methods: The data used were collected in the 2016 Community Health Survey among rural elderly individuals aged 65 or older. Dependent variable was the unmet healthcare needs, explanatory variable was the convenience of transportation. The elderly were divided into 3 groups: with no driver in the household, with a driver, and the elderly individual was the driver (the self-driving group). Covariates were classified into predisposing, enabling, and need factors. They included gender, age, education, income, economic activity, household type, motor ability, subjective health level, number of chronic diseases, anxiety/depression, and pain/discomfort. The data were analyzed using logistic regression and stratification. Results: A significant association was found between the convenience of transportation and unmet healthcare needs. When examined unadjusted odds ratio of the group with a driver in the household, using the group with no driver as a reference, was 0.61 (95% confidence interval [CI], 0.54 to 0.68), while that of the self-driving group was 0.34 (95% CI, 0.30 to 0.38). The odds ratios adjusted for all factors were 0.69 (95% CI, 0.59 to 0.80) and 0.79 (95% CI, 0.67 to 0.91). Conclusions: We confirmed a significant association between inconvenient transportation and unmet healthcare needs among the rural elderly even after adjustment for existing known factors. This implies that policies aimed at improving healthcare accessibility must consider the means of transportation available.
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.
Journal of Korea Entertainment Industry Association
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v.14
no.2
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pp.225-235
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2020
Purpose: This study is a descriptive and secondary analytical study that uses panel data to analysis of unmet healthcare needs and risk factors for improving life care of osteoporosis patients. Methods: The subjects of this study were 941 patients who were diagnosed with osteoporosis using Korea Medical Panel 2015 data(β-version 1.0). Data analysis was performed using Chi-Square and logistic regression using SPSS/win 22.0. Results: The unmet healthcare needs of osteoporosis patients were 22.6%. The factors of unmet healthcare needs were education level and age in Model I of demographic factors, and eating problems, memory problems, activity limitation, and disability in Model II. In Model III, which added socio-psychological factors, eating problems, memory problems, Total family income, and pain/Discomfort were identified. Conclusion: Based on the results of this study, it should be considered in the planning of medical policies to improve the life care of osteoporosis patients, and it is necessary to improve access to medical services and to prevent and mediate realistically to reduce unmet healthcare needs.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.9
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pp.283-290
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2020
The purpose of this study was to investigate the potential causal relationship between unmet healthcare needs and metrics related to quality of life. To examine the relationships between these variables, the study conducted an analysis by processing additional irradiated raw materials of the Korean Medical Panel. The metrics related to quality of life included six variables: athletic ability, self-care, daily activities, pain/trouble, uneasiness/depression, and subjective health conditions. Linear regression analysis revealed that the unmet healthcare needs had statistically significant negative effects on all six quality of life variables. A review of the magnitude of the linear regression β values for those variables showed that the relative level of influence on the quality of life variables decreased in the following order: pain/trouble, subjective health conditions, uneasiness/depression, daily activities, athletic ability, and self-care. Based on the results, practical applications related to strengthening working-level links between health and welfare is considered an effective policy response to the continued presence of unmet healthcare needs; such applications could contribute to improving the quality of life of those with unmet healthcare needs.
Seohyun Woo;Hyun Woo Moon;Yeong jun Lee;Sun jung Kim
Korea Journal of Hospital Management
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v.28
no.4
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pp.62-72
/
2023
Based on the basic ideology of health care, this study realized the seriousness of annual unmet medical need and conducted a study to confirm the relationship between the subjective perception of regional healthcare environment and unmet medical needs. The independent variable was classified into attitude 'satisfaction' and 'unsatisfaction' toward regional healthcare, and the dependent variable was classified as whether unmet medical needs occurred annually. Based on previous studies, the control variables were selected as demographic and socioeconomic characteristics that can affect the occurrence of unmet medical care annually and characteristics related to health behavior. Descriptive statistics were conducted for each variable on the extracted sample, and multivariate survey logistic regression analysis was conducted to confirm the association between variables. As a result, more unmet medical needs occurred annually than those who were satisfied with the medical services in the area where they lived. In addition, more unmet medical need occurred annually in "unsatisfied" households compared to households "satisfied" with local medical services. In residential areas, women live in "metropolis" and "rural areas" compared to "urban," women live in men, lower education levels, and poor subjective health levels, and less satisfied with local medical services. As such, the impact of environmental factors in the community on the use of health and medical services is one of the major areas of interest in the field of health science, such as health policy and social dynamics. Therefore, hospitals in each region need to make efforts in terms of hospital management to increase the overall satisfaction of medical services in the region by continuously monitoring the attitude of residents to achieve universal health security, and policymakers should also be interested and propose new policies.
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