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: Readmission and mortality rates of patients with heart failure are good indicators of care quality. To determine whether hospital resources are associated with care quality for cardiac patients, we analyzed the effect of number of physicians and the combined effects of number of physicians and beds on 30-day readmission and 1-year mortality. MATERIALS AND METHODS: We used national cohort sample data of the National Health Insurance Service (NHIS) claims in 2002–2013. Subjects comprised 2345 inpatients (age: >65 years) admitted to acute-care hospitals for heart failure. A multivariate Cox regression was used. RESULTS: Of the 2345 patients hospitalized with heart failure, 812 inpatients (34.6%) were readmitted within 30 days and 190 (8.1%) had died within a year. Heart-failure patients treated at hospitals with low physician volumes had higher readmission and mortality rates than high physician volumes [30-day readmission: hazard ratio (HR)=1.291, 95% confidence interval (CI)=1.020–1.633; 1-year mortality: HR=2.168, 95% CI=1.415–3.321]. Patients admitted to hospitals with low or middle bed and physician volume had higher 30-day readmission and 1-year mortality rates than those admitted to hospitals with high volume (30-day readmission: HR=2.812, 95% CI=1.561–5.066 for middle-volume beds & low-volume physicians, 1-year mortality: HR=8.638, 95% CI=2.072–36.02 for middle-volume beds & low-volume physicians). CONCLUSION: Physician volume is related to lower readmission and mortality for heart failure. Of interest, 30-day readmission and 1-year mortality were significantly associated with the combined effects of physician and institution bed volume.
Aged ; Aged, 80 and over ; Cohort Studies ; Female ; Heart Failure/diagnosis/*mortality/therapy ; Hospitalization ; *Hospitals, High-Volume/statistics & numerical data ; *Hospitals, Low-Volume/statistics & numerical data ; Humans ; Male ; Middle Aged ; Patient Readmission/*statistics & numerical data ; Physicians/economics/*supply & distribution ; Proportional Hazards Models ; Quality Improvement ; Quality Indicators, Health Care/*statistics & numerical data ; Time Factors ; Treatment Outcome