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.

Objectives This study aims to characterize the spillover effects of selected mental health disorders (episodic mood disorder (EMD), anxiety, substance use disorder (SUD), schizophrenia, attention-deficit/hyperactivity disorder (ADHD), and dementia) on family members’ health-related quality of life and to compare the magnitude of spillover effects across these types. Methods Using the 2000–2015 Medical Expenditure Panel Survey, households having individuals with mental health disorders were identified. The SF-12 and EQ-5D surveys were used to acquire utility and health status scores for household members. The outcomes in households including an individual with a mental health disorder were compared to those of the control group (absence of individuals with mental health disorders in the household). We also compared a total of 15 pairs of diseases based on the SF-6D scores. A beta generalized estimating equation model was employed. Results Average scores of utility and health status among individuals living with a member with a mental health disorder in the household were statistically lower than those of the control group and; for the SF-6D, met the minimally important difference for SUD, schizophrenia, and dementia. Differences in the SF-6D scores were statistically significant for 5 pairs of the mental health disorders: EMD–anxiety, EMD–ADHD, dementia–anxiety, dementia–ADHD, and schizophrenia–ADHD. Conclusions This study provides evidence of family spillover effects in mental illness using both utility and health status measures from a US representative sample. Integrating this evidence into clinical and policy decision making as well as economic evaluations would allow for a more comprehensive valuation of the societal benefits of mental and behavioral health interventions.