OBJECTIVES: This study aimed to test our hypothesis that a raise in the emergency fee implemented on March 1, 2013 has increased the proportion of patients with emergent symptoms by discouraging non-urgent emergency department visits. METHODS: We conducted an analysis of 728 736 patients registered in the National Emergency Department Information System who visited level 1 and level 2 emergency medical institutes in the two-month time period from February 1, 2013, one month before the raise in the emergency fee, to March 31, 2013, one month after the raise. A difference-in-difference method was used to estimate the net effects of a raise in the emergency fee on the probability that an emergency visit is for urgent conditions. RESULTS: The percentage of emergency department visits in urgent or equivalent patients increased by 2.4% points, from 74.2% before to 76.6% after the policy implementation. In a group of patients transferred using public transport or ambulance, who were assumed to be least conscious of cost, the change in the proportion of urgent patients was not statistically significant. On the other hand, the probability that a group of patients directly presenting to the emergency department by private transport, assumed to be most conscious of cost, showed a 2.4% point increase in urgent conditions (p<0.001). This trend appeared to be consistent across the level 1 and level 2 emergency medical institutes. CONCLUSIONS: A raise in the emergency fee implemented on March 1, 2013 increased the proportion of urgent patients in the total emergency visits by reducing emergency department visits by non-urgent patients.
Adult ; Ambulances ; Direct Service Costs ; Emergency Service, Hospital/*economics/*statistics & numerical data ; *Fees and Charges ; Female ; Humans ; Male ; Middle Aged ; Regression Analysis ; Time Factors

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors

PURPOSE: Aim of this study is to investigate the characteristics and performance of colorectal-anal specialty vs. general hospitals for South Korean inpatients with colorectal-anal diseases, and assesses the short-term designation effect of the government's specialty hospital. MATERIALS AND METHODS: Nationwide all colorectal-anal disease inpatient claims (n=292158) for 2010-2012 were used to investigate length of stay and inpatient charges for surgical and medical procedures in specialty vs. general hospitals. The patients' claim data were matched to hospital data, and multi-level linear mixed models to account for clustering of patients within hospitals were performed. RESULTS: Inpatient charges at colorectal-anal specialty hospitals were 27% greater per case and 92% greater per day than those at small general hospitals, but the average length of stay was 49% shorter. Colorectal-anal specialty hospitals had shorter length of stay and a higher inpatient charges per day for both surgical and medical procedures, but per case charges were not significantly different. A "specialty" designation effect also found that the colorectal-anal specialty hospitals may have consciously attempted to reduce their length of stay and inpatient charges. Both hospital and patient level factors had significant roles in determining length of stay and inpatient charges. CONCLUSION: Colorectal-anal specialty hospitals have shorter length of stay and higher inpatient charges per day than small general hospitals. A "specialty" designation by government influence performance and healthcare spending of hospitals as well. In order to maintain prosperous specialty hospital system, investigation into additional factors that affect performance, such as quality of care and patient satisfaction should be carried out.
Adult ; Aged ; Anus Diseases/economics/*therapy ; Colonic Diseases/economics/*therapy ; Efficiency, Organizational ; Female ; Hospital Charges/*statistics & numerical data ; Hospitals, General/organization & administration ; Hospitals, Special/organization & administration ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Male ; Middle Aged ; Outcome Assessment (Health Care)/economics/methods/*statistics & numerical data ; Rectal Diseases/economics/*therapy ; Republic of Korea

OBJECTIVETo study the expenses of hospitalization among the population in the flood disaster areas of Dongting Lake in Hunan province in 1998.

METHODSDescriptive epidemiologic study were conducted to analyze hospitalization expenses of the residents of 55 villages in flood disaster areas in 1998; single factors analysis and logarithmic linear regression analysis were carried out to explore influencing factors about hospitalization expenses of the residents.

RESULTSThe hospitalization rate was 4.59% with an average hospitalization expenses of 667.42 Yuan in the flood disaster areas' residents of Dongting Lake in 1998. Compared with populations without suffering from flood, hospitalization rate and the average hospitalization expenses of flood disaster Areas' residents of Dongting Lake in 1998 were higher and had significant difference. The average hospitalization expenses in 1998 was affected by flood types, family income, gender, age, literacy, occupation, outcome after leaving the hospital and hospital ranks.

CONCLUSIONThese results implied that the flood disease aggravated inhabitants' burden of disease in Dongting Lake areas; the factors influencing the average hospitalization expenses were multiple, and synthetic measures should be taken in the prevention and control of flood disaster.

Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; China ; Cost of Illness ; Disasters ; Female ; Hospital Charges ; statistics & numerical data ; Hospitalization ; economics ; Humans ; Infant ; Linear Models ; Male ; Middle Aged ; Regression Analysis ; Rural Population