Purpose - The pandemic has magnified and deepened existing socioeconomic disparities, including healthcare, education, income, gender, and housing. This study aims to examine the intersectionality of these disparities and their implications for promoting equity and justice. Research design, data, and methodology - This study is a comprehensive review of the literature on the impact of the COVID-19 pandemic on socioeconomic disparities. The review includes empirical studies, policy reports, and academic articles on healthcare, education, income, gender, and housing disparities. Result - The pandemic has exposed significant disparities in healthcare, education, income, gender, and housing. Healthcare disparities have been highlighted, and there is a need for more equitable access to care and addressing social determinants of health. Educational and income disparities are closely linked, perpetuating cycles of poverty and inequality. Gender disparities have been exacerbated, with women experiencing disproportionate impacts on their health, well-being, and economic security. The pandemic has highlighted the need for safe, stable, and affordable housing. Conclusion - The pandemic has brought to light numerous socioeconomic disparities that require systemic change to address. Promoting equity and justice requires a comprehensive, long-term approach that addresses systemic factors and promotes social and economic equity. By taking action to address these issues, we can create a more just and equitable society that promotes the health and well-being of all its members.
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.
Journal of the Economic Geographical Society of Korea
/
v.26
no.3
/
pp.289-309
/
2023
While South Korea's universal healthcare system has garnered attention in public health, the issue of inequality in healthcare service provision among different age groups has incessantly become a significant concern. The focus of this concern is primarily on essential healthcare services, encompassing fundamental aspects of healthcare such as internal medicine, family medicine, and pediatric and adolescent care. This inequality is not limited to differences among age groups (both junior and senior demographics) but also extends to potential disparities in healthcare services based on geographic location, particularly in urban and rural contexts. This paper aims to investigate disparities in primary healthcare service resources in South Korea's evolving economic landscape between 1995 and 2021. We utilize a set of inequality indices with a spatial perspective through geographic cluster analysis. The findings reveal that concerns about inequality have been amplified during various economic events, including the IMF crisis in 1999, the global financial crisis in 2008, and the COVID-19 pandemic in 2020. These years are identified as significant phases that have contributed to manifesting spatial disparities in primary healthcare provisions, with a particular emphasis on the senior-aged population rather than junior or all population groups. Our findings underscore the pressing need to address the unequal distribution of essential healthcare resources as part of preparedness for potential economic impacts, requiring a comprehensive consideration of the interconnected nature of demographic and spatial dimensions in healthcare services.
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.
Background: Many studies have explained regional disparities in health by socioeconomic status and healthcare resources, focusing on differences between urban and rural area. However some cities in Korea have the highest cardiovascular mortality, even though they have sufficient healthcare resources. So this study aims to confirm three hypotheses. (1) There are also regional health disparities between cities not only between urban and rural area. (2) It has different regional risk factors affecting cardiovascular mortality whether it is urban or rural area. (3) Besides socioeconomic and healthcare resources factors, there are remnant factors that affect regional cardiovascular mortality such as health behavior and physical environment. Methods: The subject of this study is 227 local authorities (si, gun, and gu). They were categorized into city (gu and si consisting of urban area) and non-city (gun consisting of rural area), and the city group was subdivided into 3 parts to reflect relative different city status: city 1 (Seoul, Gyeonggi cities), city 2 (Gwangyeoksi cities), and city 3 (other cities). We compared their mortalities among four groups by using analysis of variance analysis. And we explored what had contributed to it in whole authorities, city and non-city group by using multiple regression analysis. Results: Cardiovascular mortality is highest in city 2 group, lowest in city 1 group and middle in non-city group. Socioeconomic status and current smoking significantly increase mortality regardless of group. Other than those things, in city, there are some factors associated with cardiovascular mortality: walking practice(-), weight control attempt(-), deficiency of sports facilities(+), and high rate of factory lot(+). In non-city, there are other factors different from those of city: obesity prevalence(+), self-perceiving obesity(-), number of public health institutions(-), and road ratio(-). Conclusion: To reduce cardiovascular mortality and it's regional disparities, we need to consider differentiated approach, respecting regional character and different risk factors. Also, it is crucial to strengthen local government's capacity for practicing community health policy.
Objectives: Regional disparities in cardiovascular care in Korea have led to uneven patient outcomes. Despite the growing need for and access to procedures, few studies have linked regional service availability to mortality rates. This study analyzed regional variation in the utilization of major cardiovascular procedures and their associations with short-term mortality to provide better evidence regarding the relationship between healthcare resource distribution and patient survival. Methods: A cross-sectional study was conducted using nationwide claims data for patients who underwent coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), stent insertion, or aortic aneurysm resection in 2022. Regional variation was assessed by the relevance index (RI). The associations between the regional RI and 30-day mortality were analyzed. Results: The RI was lowest for aortic aneurysm resection (mean, 26.2; standard deviation, 26.1), indicating the most uneven regional distribution among the surgical procedures. Patients undergoing this procedure in regions with higher RIs showed significantly lower 30-day mortality (adjusted odds ratio [aOR], 0.73; 95% confidence interval, 0.55 to 0.96; p=0.026) versus those with lower RIs. This suggests that cardiovascular surgery regional availability, as measured by RI, has an impact on mortality rates for certain complex surgical procedures. The RI was not associated with significant mortality differences for more widely available procedures like CABG (aOR, 0.96), PCI (aOR, 1.00), or stent insertion (aOR, 0.91). Conclusions: Significant regional variation and underutilization of cardiovascular surgery were found, with reduced access linked to worse mortality for complex procedures. Disparities should be addressed through collaboration among hospitals and policy efforts to improve outcomes.
Purpose: This study was conducted to identify the factors affecting on unmet healthcare needs of married immigrant women, especially who are working in South Korea. Methods: It is designed as a cross-sectional descriptive study. We analyzed data from 8,142 working married immigrant women to the 'National Survey of Multicultural Families 2015.' Based on Andersen's health behavior model, logistic regression was conducted to determine the predictors of unmet healthcare need. Results: The prevalence of unmet healthcare needs among the subjects was 11.6%. In multivariate analysis, significant predictors of unmet needs included existence of preschooler, country of origin, period of residence in predisposing factors, monthly household income, helpful social relationship, social discrimination, Korean proficiency, working hour per week in enabling factors, and self-rated health, experience of grief or desperation in need factors. Conclusion: The association between labor-related factors and unmet healthcare needs of marriage immigrant women currently working was found from nationally representative sample. Support policies for immigrant women working more than legally defined hours and having preschooler should be supplemented to reduce unmet healthcare needs. In addition, eradicating discrimination in workplace, enlarging social relationship, and developing culturally competent nursing services tailored to health problems caused by labor are needed.
Objectives: Parental socioeconomic status (SES) exerts a substantial influence on children's health. The purpose of this study was to examine factors determining children's private health insurance (PHI) enrolment and children's healthcare utilization according to PHI coverage. Methods: Korea Health Panel data from 2011 (n=3085) was used to explore the factors determining PHI enrolment in children younger than 15 years of age. A logit model contained health status and SES variables for both children and parents. A fixed effects model identified factors influencing healthcare utilization in children aged 10 years or younger, using 2008 to 2011 panel data (n=9084). Results: The factors determining children's PHI enrolment included children's age and sex and parents' educational status, employment status, and household income quintile. PHI exerted a significant effect on outpatient cost, inpatient cost, and number of admissions. Number of outpatient visits and total length of stay were not affected by PHI status. The interaction between PHI and age group increased outpatient cost significantly. Conclusions: Children's PHI enrolment was influenced by parents' SES, while healthcare utilization was affected by health and disability status. Therefore, the results of this study suggest disparities in healthcare utilization according to PHI enrollment.
Background: While there are many studies estimating the effects of private health insurance on various types of health care utilization, few have examined how such effects change in conjunction with important policy reforms in national health insurance (NHI). This study examined how the effect of private health insurance (supplemental and fixed cash benefit) on high-cost outpatient imaging test utilization changed following the expansion of magnetic resonance imaging (MRI) coverage in 2018, which is a key example of the NHI benefit expansion policy in recent years. Methods: Data from the 2017 and 2019 Korea Health Panel Survey, which contained information about healthcare utilization before and after the expansion of MRI coverage in 2018, were used. The incremental effect of private health insurance on high-cost outpatient imaging test utilization for each period were quantified and compared, with special attention given to the type of private health insurance. Results: While people with supplemental private health insurance were more likely to use high-cost outpatient imaging tests than those without, both before and after the expansion of MRI coverage, the incremental effect increased from 1.6% points in 2017 to 2.5% points in 2019. Conclusion: Benefit expansion in NHI does not necessarily reduce disparities in the use of health care between private health insurance subscribers and non-subscribers. The results of our study also suggest that the path through which private health insurance affects healthcare utilization may not be limited to the price mechanism alone but can be more complex.
Purpose: The purpose of this study is to examine the relationship between the income level and the healthcare utilization by health insurance type in all cancer patients in year 2005. Methods: The target population was cancer patients with health insurance who used healthcare as a diagnosis code (C00-C97) from January 1 to December 31 of 2005. The Korea Central Cancer Registry Center's Cancer Patient Registry Data, the list of cancer patients of the National Health Insurance Corporation, and the claim data of the Health Insurance Review & Assessment Service were used. The I was the wealthiest, followed by II, III, IV. The V was the poorest in this study. For the analysis, the $x^2$-test, ANOVA (and Kruskal-Wallis test), and regression were used. Results: Outpatient and hospitalization medical expenses, and outpatient visit days of cancer patients with self-employed health insurance were highest in I (p<.001, respectively), and the hospitalization days were the highest in II (p<.001, respectively). Outpatient and hospitalization medical expenses, and outpatient visit and hospitalization days of cancer patients with occupational health insurance were the highest in I (p<.001, respectively). Outpatient and hospitalization medical expenses, and outpatient visit and hospitalization days in cancer patients were higher in I compared to V, and higher in II and III, IV compared to V (p<.001, respectively). Conclusion: Supporting plan for cancer patients' outpatient healthcare utilization are necessary. Moreover, we should make specialized strategy for low income cancer patients with self-employed health insurance when we develop quality improvement policy for inpatient service.
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