Unmet Health Care Needs and Associated Factors among Patients with Hypertension and Those with Diabetes in Korea

Impact of unmet health-related need on suicidal behavior in Korean adults: a retrospective nationwide cohort study

We aimed to evaluate the association of unmet health-related need with suicidal behaviors among Korean adults. We included 26,219 adults (13,937 men and 17,788 women) aged ≥ 19 years from the Korea National Health and Nutrition Examination Survey (2015-2020). Suicidal behavior included suicidal plan and attempt. We analyzed the odds ratios and 95% confidence intervals of suicidal behaviors according to unmet health-related need via multivariable logistic regression analysis and performed stratified analyses according to sex, age, income, education, and type of insurance. Of the participants, 9.6% had unmet health-related need. Suicidal plans and attempts had 1.3% and 0.5% of the participants, respectively. The prevalence of suicidal plans and attempts was 0.9% and 0.4% among participants without unmet health-related need and 3.1% and 1.0% among those with such need, respectively. The odd ratios of suicidal plans and attempts increased significantly among participants with unmet health-related need compared to those without. In subgroup analysis, most subgroups showed similar results, except for suicidal plan and attempt in the 45-64 age group, high education, and medical care and suicidal attempt in 19-44 age group, low-income, and unmarried. Unmet health-related need was independently associated with suicidal plan and attempt. A policy alternative is needed for these associations.

Food insecurity and unmet healthcare needs in South Korea

BACKGROUND

Food insecurity is a significant risk factor for chronic and infectious diseases. It is also a barrier to accessing healthcare because food insecurity tends to co-occur with other socioeconomic disadvantages. The objective of this study is to examine whether food insecure individuals in South Korea can access desired level of healthcare when needed.

METHODS

This repeated cross-sectional study used data from the 2013-2015 and 2019-2021 waves of the Korean National Health and Nutrition Examination Survey. Multivariable logistic regression models were used to examine the association between household food insecurity and two indicators of unmet healthcare needs - any experience of forgoing medical service and the reasons for unmet needs (problems with availability, acceptability, and accessibility). Covariates indicating predisposing, enabling, and need factors were included in the regression analyses.

RESULTS

Of the 19,394 participants aged 19-64 years, 4.5% were moderately food insecure, 0.9% were severely food insecure, and 9.3% reported unmet healthcare needs. In the adjusted model, moderate food insecurity (OR, 1.47; 95% CI, 1.19-1.82) and severe food insecurity (OR, 3.32; 95% CI, 2.27-4.85) were associated with higher odds of unmet healthcare needs in a dose-graded manner. These associations were largely due to the increased odds of accessibility-related unmet needs among participants with moderate (OR, 2.31; 95% CI, 1.68-3.19) and severe food insecurity (OR, 6.15; 95% CI, 3.91-9.68).

CONCLUSIONS

Food insecurity was associated with higher odds of unmet healthcare needs among Korean adults. Competing life demands may have a cumulative impact on health over the short and long term. Efforts to address trade-offs between healthcare needs and food insecurity may improve the health and well-being of marginalized populations.

Factors affecting unmet healthcare needs of older people in Korea

BACKGROUND

Despite the fact that the National Health Insurance programmes have ensured universal coverage for Koreans, disparities in access to health care and unmet healthcare needs still exist in Korea.

AIM

The purpose of this study was to analyse factors affecting unmet healthcare needs of older people in Korea.

METHODS

This study had a cross-sectional, descriptive design using secondary data taken from the Korean National Health and Nutrition Survey conducted in 2007-2009. A complex sampling design was used, and the participants included a nationally representative sample of 3943 people older than 64 years. Socio-demographic variables, subjective health, existence of chronic diseases, quality of life and unmet healthcare needs were included in the study instruments. Logistic regression analyses were performed in order to examine the relationship between unmet healthcare needs and independent variables.

RESULTS

According to the results, 29.4% of older women and 14.0% of older men had not visited clinics or hospitals when they needed to obtain healthcare services (unmet healthcare needs) during the past 12 months. Older women [odds ratio (OR) = 1.831, 95% confidence interval (CI) = 1.428-2.347] and those with poor subjective health (OR = 1.708, 95% CI = 1.371-2.126) and arthritis (OR = 1.278, 95% CI = 1.029-1.586) were more likely to have unmet healthcare needs than their counterparts.

CONCLUSIONS

Efforts to decrease unmet healthcare needs, targeting high-risk groups (especially for older women), are needed in order to prevent disability, decrease mortality and promote the quality of life of older people.

Factors influencing unmet need for health care services in Korea

This study was conducted to investigate the prevalence of unmet need based on both subjective assessment and adjustments for need-predicted utilization and to examine factors associated with them. Data from the Fourth Korea National Health and Nutrition Examination Survey, a population-based, cross-sectional study, were used in this study. Participants included 11 620 Koreans (4959 males and 6661 females) aged 19 and older. The results for subjective unmet need suggested that female or younger individuals were more likely to experience unmet need, compared to male or older individuals. Those residing outside the capital had a higher likelihood of experiencing unmet need. Lower levels of education showed an association with higher odds of having unmet need. This study found similar results for the adjusted unmet need. The findings of this study suggest that location and education are more important factors associated with unmet need than income levels.