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.
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.
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.
Purpose: The purposes of this secondary analysis study was to examine prevalence, risk factors and unmet healthcare needs among adults with hypertension. Methods: A sample of 3,386 adults over the age of 40 with hypertension were drawn from the Korea Health Panel Study (2013). Using SPSS 22.0 version, descriptive statistics including frequency, percentage, chi-square and logistic regression were performed. Results: Results showed that 18.9% of the sample reported unmet healthcare needs with the most frequently cited one was financial burdens (43.2%). The reported experiences of unmet healthcare needs differed by gender, marital status, vision or hearing impairment, memory problem, impaired mobility, subjective health status, total family income, depressive episode and the difficulty in making decisions. The sample participants were more likely to report unmet healthcare if they had vision impairment, low income and perception that their health status as moderate to poor. Those without vision impairment were less likely to report unmet healthcare needs. Conclusion: The identified risk factors of unmet healthcare needs should be addressed which would enhance access both to health care and to resolution of unmet healthcare needs. Since visual ability seems to impact perception of unmet healthcare needs, it may be useful to find ways to address this factor.
Background: Most developed countries are working to improve their universal health coverage systems. This study investigates regional disparities in unmet healthcare needs and their causes in South Korea. Additionally, it compares the unmet healthcare needs rate in South Korea with that of 33 European countries. Methods: The analysis incorporates information from 13,359 adults aged 19 or older, using data from the Korea Health Panel. The dependent variables encompass the experience of unmet healthcare needs and the three causes of occurrence: "burden of medical expenses," "time constraints," and "lack of care." The primary variable of interest is the region of residence, while control variables encompass 14 socio-demographic, health, and functional characteristics. Multivariable binary logistic regression analysis, accounting for the sampling design, is conducted. Results: The rate of unmet healthcare needs in Korea is 11.7% (95% confidence interval [CI], 11.0%-13.3%), which is approximately 30 times higher than that of Austria (0.4%). The causes of unmet healthcare needs, ranked in descending order, are "lack of care," "time constraints," and "burden of medical expenses." Predictive probabilities for experiencing unmet healthcare needs and each cause differ significantly between regions. For instance, the probability of experiencing unmet healthcare needs due to "lack of care" is approximately 10 times higher in Gangwon-do (13.5%; 95% CI, 13.0%-14.1%) than in Busan (1.3%; 95% CI, 1.3%-1.4%). The probability due to "burden of medical expenses" is approximately 14 times higher in Seoul (4.1%; 95% CI, 3.6%-4.6%) compared to Jeollanam-do (0.3%; 95% CI, 0.2%-0.4%). Conclusion: Amid rapid sociodemographic transitions, South Korea must make significant efforts to alleviate unmet healthcare needs and the associated regional disparities. To effectively achieve this, it is recommended that South Korea involves the National Assembly in healthcare policy-making, while maintaining a centralized financing model and delegating healthcare planning and implementation to regional authorities for their local residents-similar to the approaches of the United Kingdom and France.
The proportion of people who reported unmet healthcare needs is an important indicator to measure the access problem in healthcare service. 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, '2007-2015); the Community Health Survey (CHS '2008-2015); the Korea Health Panel Survey (KHP '2011-2013); the Korean Welfare Panel Study (KOWEPS '2006-2015). The proportion of individual reporting unmet healthcare needs as of 2015 was 12.6% (KNHNES), 11.7% (CHS), and 16.3% (KHP, as of 2013). Annual percent change which characterizes trend for follow-up period was -9.4%, -3.4%, and 7.6%, respectively. The proportion of individual reporting unmet healthcare needs due to cost was 2.8% (KNHNES), 1.7% (CHS), and 4.6% (KHP). The proportion of household reporting unmet healthcare needs due to cost was 1.2% (KOWEPS). Annual percent change was -9.0%, -14.9%, 9.4%, and -18.2%, respectively. Low income population reported about 5 times more unmet needs than high income population. Therefore for decreasing the unmet healthcare needs, strategies focusing on low income population were needed.
Purpose: The purpose of this study was to identify the factors affecting the unmet healthcare needs of married immigrant women. Methods: This study was a secondary data analysis using data from the 2009 National Survey of Multicultural Families. Data collected from 58,735 married immigrant women who had spouses were analyzed using descriptive statistics, Chi-square test, and logistic regression. Results: Overall, 9.9% of married immigrant women have unmet healthcare needs. The significant predictors related to unmet healthcare needs were young age, high level of education, employed, country of origin, long period of residence, low income, uninsured, urban area, low level of subjective health status, and illness experience over past two weeks. In particular, four variables (long period of residence, low income, subjective health status, and illness experience over past two weeks) significantly predicted unmet healthcare needs for women from all countries of origin. Conclusion: The results of the study indicate that common predictors related to unmet healthcare needs of married immigrant women are a long period of residence, low income, subjective health status, and illness experience over past two weeks. Therefore intervention strategies to decrease unmet healthcare needs should focus on these significant predictors.
Purpose: The purpose of this study was to explore unmet healthcare needs among low-income overweight and obese women and to identify the factors affecting unmet healthcare needs. Methods: The study was a secondary analysis of data from the 2017 Korea National Health and Nutrition Examination Survey. A final sample of 388 out of 8,127 participants was analyzed using complex descriptive statistics, the chi-square test, the independent t-test, and logistic regression. Results: The mean age of the participants was 66.51±1.05 years. Unmet healthcare needs were experienced by 19.4% of low-income overweight and obese women. Women with depression, stress, and poor self-reported health status were significantly more likely than their counterparts to experience unmet healthcare needs. Poor self-reported health status was confirmed to be related to unmet health needs in low-income overweight and obese women (odds ratio, 2.65; p=.011). Conclusion: The study provides the novel insight that the unmet healthcare needs of low-income overweight and obese women were influenced by self-reported health status. Healthcare providers should make efforts to develop strategies to reduce unmet healthcare needs among low-income overweight and obese women, who constitute a vulnerable population.
Unmet healthcare needs are being used as an important indicator of the accessibility of healthcare services worldwide. 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 (KNHANES, 2007-2017); the Community Health Survey (CHS 2008-2017); the Korea Health Panel Survey (KHP 2011-2015); and the Korean Welfare Panel Study (KOWEPS 2006-2017). The proportion of individual reporting unmet healthcare needs as of 2017 was 8.8% (KNHANES), 10.6% (CHS), and 12.4% (KHP as of 2015). The proportion of households reporting unmet healthcare needs due to cost was 0.5% (KOWEPS). Annual percentage change was -19.2%, -13.3%, -5.8%, and -13.3% respectively. Low income populations had more unmet healthcare needs than high income populations. However, unlike the last two studies, the main reason for unmet medical reasons was that there was no time regardless of income level.
Purpose: In adults with chronic diseases, unmet healthcare needs are likely to increase the risk of worsening the illness and complications. This study was conducted to explore factors affecting unmet healthcare needs among adults with chronic diseases. Methods: A cross sectional study was performed using the data from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII), 2016-2017. The sample of this study consisted of 6,104 adults with chronic diseases. The data were analyzed by Rao-Scott 𝑥2 test and logistic regression using complex samples analysis. Results: The proportion of subjects who experienced unmet healthcare needs was 10.9% of adults with chronic diseases. The factors affecting unmet healthcare needs of adults with chronic diseases were age, gender, employment status, household income, subjective health status, activity limitation, and perceived stress. Conclusion: The findings of this study suggest that various factors may be associated with their unmet healthcare needs. Finally, the development of strategies to reduce unmet healthcare needs for people with chronic diseases should consider the associated factors presented in the study.
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