BackgroundDisease burden can be represented by health-related parameters such as disability-adjusted life years and economic burden. Economic burden is an important index, as it estimates the maximum possible cost reduction if a disease is prevented. This study aimed to determine the economic burden of 238 diseases and 22 injuries in Korea in 2015.MethodsEconomic burden was estimated with a human resources approach from a social perspective, and direct and indirect costs were calculated from insurance claims data and a cause of death database. Direct costs were divided into medical costs (including hospital admission, outpatient visit, and medication use) and nonmedical costs (including transportation and caregiver costs). Indirect costs from lost productivity, either from the use of healthcare service or premature death, were analyzed.ResultsIn 2015, the estimated economic burden was USD 133.7 billion (direct: USD 65.5 billion, indirect: USD 68.2 billion). The total cost of communicable diseases was USD 16.0 billion (11.9%); non-communicable diseases, USD 92.3 billion (69.1%); and injuries, USD 25.4 billion (19.0%). Self-harm had the highest costs (USD 8.3 billion), followed by low back pain (LBP, USD 6.6 billion). For men, self-harm had the highest cost (USD 7.1 billion), while LBP was the leading cost (USD 3.7 billion) for women.ConclusionA high percentage of Korea's total socioeconomic disease burden is due to chronic diseases; however, unnoticed conditions such as infectious diseases, injuries, and LBP are high in certain age groups and differ by gender, emphasizing the need for targeted social interventions to manage and prevent disease risk factors.
Background Korea’s aging population has raised several challenges, especially concerning healthcare costs. Consequently, this study evaluated the association of frailty transitions with healthcare utilization and costs for older adults aged 70 to 84. Methods This study linked the frailty status data of the Korean Frailty and Aging Cohort Study to the National Health Insurance Database. We included 2,291 participants who had frailty measured by Fried Frailty phenotype at baseline in 2016–2017 and follow-up in 2018–2019. We conducted a multivariate regression analysis to determine the association between their healthcare utilization and costs by frailty transition groups. Results After 2 years, changes from “pre-frail” to “frail” (Group 6) and “frail” to “pre-frail” (Group 8) were significantly associated with increased inpatient days ( P < 0.001), inpatient frequency ( P < 0.001), inpatient cost ( P < 0.001 and P < 0.01, respectively), and total healthcare cost ( P < 0.001) than “robust” to “robust” (Group 1) older adults. A transition to frailty from “pre-frail” to “frail” (Group 6) resulted in a $2,339 total healthcare cost increase, and from “frail” to “pre-frail” (Group 8), a $1,605, compared to “robust” to “robust” older adults. Conclusion Frailty among community-dwelling older adults is economically relevant. Therefore, it is crucial to study the burden of medical expenses and countermeasures for older adults to not only provide appropriate medical services but also to prevent the decline in their living standards due to medical expenses.
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