Disability weight for each disease plays a key role in combining years lived with disability and years of life lost in disability adjusted life year. For the Korean Burden of Disease 2012 study, we have conducted a re-estimation of disability weights for causes of disease by adapting the methodology of a recent Global Burden of Disease study. Our study was conducted through a self-administered web-based survey using a paired comparison (PC) as the main valuation method. A total of 496 physicians and medical college students who were attending in third or fourth grade of a regular course conducted the survey. We applied a probit regression on the PC data and computed the predicted probabilities of each cause of disease from the coefficient estimates of the probit regression. We used 'being dead (1)' and 'full health (0)' as anchor points to rescale the predicted probability of each cause of disease on a scale of 0 to 1. By this method, disability weights for a total of 228 causes of disease were estimated. There was a fairly high correlation between the disability weights of overlapping causes of disease from this study and a previous South Korean study despite the differences in valuation methods and time periods. In conclusion, we have shown that disability weights can be estimated based on a PC by including 'full health' and 'being dead' as anchor points without resorting to a person trade-off. Through developments in the methodology of disability weights estimation from this study, disability weights can be easily estimated and continuously revised.

This study aims to estimate the volume of unnecessarily utilized hospital outpatient services in Korea and quantify the total cost resulting from the inappropriate utilization. The analysis included a sample of 27,320,505 outpatient claims from the 2009 National Inpatient Sample database. Using the Charlson Comorbidity Index (CCI), patients were considered to have received 'unnecessary hospital outpatient utilization' if they had a CCI score of 0 and were concurrently admitted to hospital for treatment of a single chronic disease - hypertension (HTN), diabetes mellitus (DM), or hyperlipidemia (HL) - without complication. Overall, 85% of patients received unnecessary hospital services. Also hospitals were taking away 18.7% of HTN patients, 18.6% of DM and 31.6% of HL from clinics. Healthcare expenditures from unnecessary hospital outpatient utilization were estimated at: HTN (94,058 thousands USD, 38.6% of total expenditure); DM (17,795 thousands USD, 40.6%) and HL (62,876 thousands USD, 49.1%). If 100% of patients who received unnecessary hospital outpatient services were redirected to clinics, the estimated savings would be 104,226 thousands USD. This research proves that approximately 85% of hospital outpatient utilizations are unnecessary and that a significant amount of money is wasted on unnecessary healthcare services; thus burdening the National Health Insurance Service (NHIS) and patients.Graphical Abstract

Korea is in a unique condition to observe whether patients, when equal access to the levels of health care facilities is guaranteed by the support of the national health insurance, choose the appropriate levels of health care facilities. This study was performed to investigate the primary care patients’ preference for hospitals over clinics under no restriction for their choice. We used the 2011 National Inpatient Sample database of the Health Insurance Review and Assessment Service in Korea. A primary care patient was defined as a patient who visited as an outpatient in health care facilities with one of the 52 minor conditions defined by the Korean government. We found that approximately 15% of outpatient visits of the patients who were eligible for primary care in Korea happened in hospitals. In terms of cost, the outpatient visits in hospitals accounted for about 29% of total cost of outpatient visits. This arbitrary access to hospitals can lead to an inefficient use of health care resources. In order to ensure that health care facilities are stratified in terms of access as well as size and function, interventions to distribute patients to the appropriate level of care are required.