OBJECTIVE: Health insurers and policy makers are increasingly examining the hospital mortality rate as an indicator of hospital quality and performance. To be meaningful, a risk-adjustment of the death rates must be implemented. This study reviewed 5 severity measurement methods and applied them to the same data set to determine whether judgments regarding the severity-adjusted hospital mortality rates were sensitive to the specific severity measure. METHODS: The medical records of 584 patients who underwent coronary artery bypass graft surgery in 6 general hospitals during 1996 and 1997 were reviewed by trained nurses. The MedisGroups, Disease Staging, Computerized Severity Index, APACHElll and KDRG were used to quantify severity of the patients. The predictive probability of death was calculated for each patient in the sample from a multivariate logistic regression model including the severity score, age and sex to evaluate the hospitals' performance, the ratio of the observed number of deaths to the expected number for each hospital was calculated. RESULTS: The overall in-hospital mortality rate was 7.0%, ranging from 2.7% to 15.7% depending on the particular hospital. After the severity adjustment, the mortality rates for each hospital showed little difference according to the severity measure. The 5 severity measurement methods varied in their statistical performance. All had a higher c statistic and R2 than the model containing only age and sex. There was a little difference in the relative hospital performance evaluation by the severity measure. CONCLUSION: These results suggest that judgments regarding a hospital's performance based on severity adjusted mortality can be sensitive to the severity measurement method. Although the 5 severity measures regarding hospital performance concurred, more often than would be expected by chance, the assessment of an individual hospital mortality rates varied by the different severity measurement method used.
Administrative Personnel ; Coronary Artery Bypass* ; Coronary Vessels* ; Dataset ; Hospital Mortality ; Hospitals, General ; Humans ; Insurance Carriers ; Judgment ; Logistic Models ; Medical Records ; Mortality* ; Risk Adjustment ; Severity of Illness Index ; Transplants

OBJECTIVE: In this study, we aimed to produce basic data on the prenatal environmental risk factors of low birth weight infants at a community level. METHODS: In 2000, we conducted the direct interview using questionnaire about prenatal environmental risk factors with low birth weight infant-delivered mothers and normal weight infant-delivered mothers in Asan-city, Chungcheongnamdo Province, Korea. The questions given to the mothers included past pregnancy history, menstrual status, disease history before and during the pregnancy, family history, environmental risk factors and exposure history. The responses of the two groups were compared to calculate the prenatal environmental risk factors of each group. RESULTS: Mothers' smoking was significantly associated with low birth weight infants (adjusted odds ratio (AOR) 3.27; 95% confidence interval (CI) 1.25-8.56) and preterm baby (AOR 4.20; 95% CI, 1.21-14.61). Other environmental risk factors were not significantly different between the two groups. CONCLUSION: Smoking of mothers can be a risk factor for the delivery of low birth weight infants. These results could provide the basic data on prenatal environmental risk factors of mothers of low birth weight infants and suggest research topics for further community-based evaluation.
Chungcheongnam-do* ; Environmental Exposure ; Female ; Humans ; Infant* ; Infant, Low Birth Weight* ; Infant, Newborn ; Korea ; Maternal Exposure ; Mothers* ; Odds Ratio ; Pregnancy ; Reproductive History ; Risk Factors* ; Smoke ; Smoking ; Surveys and Questionnaires