{"title":"Inter-hospital mortality and morbidity variation in Pennsylvania.","authors":"R C Bradbury, J H Golec, F E Stearns, P M Steen","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>A 1986 Pennsylvania law requires the public disclosure of hospital mortality and morbidity rates. This study of hospital admissions in 1989 and 1990 examines the variation in these health-outcome indicators for the 10 most frequently occurring DRGs in the adult medical service in a sample of 20 Pennsylvania hospitals. These mortality and morbidity rates are adjusted for admission severity, DRG, age, and sex, using a logistic regression model. The null hypothesis of no significant variation among hospitals is rejected by the statistically significant (p < 0.01) results of a likelihood ratio test on the hospital variables in logit models for both mortality and morbidity. Test results also show that 4 (20 percent) of 20 hospitals have statistically significant (p < 0.05) adjusted mortality rates, and 4 (20 percent) of 20 hospitals have significant morbidity rates. Such information may impact hospital management practices in a variety of ways.</p>","PeriodicalId":77231,"journal":{"name":"Journal of the Society for Health Systems","volume":"4 1","pages":"48-67"},"PeriodicalIF":0.0000,"publicationDate":"1993-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Society for Health Systems","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A 1986 Pennsylvania law requires the public disclosure of hospital mortality and morbidity rates. This study of hospital admissions in 1989 and 1990 examines the variation in these health-outcome indicators for the 10 most frequently occurring DRGs in the adult medical service in a sample of 20 Pennsylvania hospitals. These mortality and morbidity rates are adjusted for admission severity, DRG, age, and sex, using a logistic regression model. The null hypothesis of no significant variation among hospitals is rejected by the statistically significant (p < 0.01) results of a likelihood ratio test on the hospital variables in logit models for both mortality and morbidity. Test results also show that 4 (20 percent) of 20 hospitals have statistically significant (p < 0.05) adjusted mortality rates, and 4 (20 percent) of 20 hospitals have significant morbidity rates. Such information may impact hospital management practices in a variety of ways.