BACKGROUND: In 2003, the Agency for Healthcare Quality and Research (AHRQ) published its Quality Indicators for healthcare, and set out methodological criteria for the evaluation of potential candidates. OBJECTIVES: Because perinatal infections may result from poor obstetrical practices, we intended to describe the variability of maternal and congenital neonatal infections across different types of hospital ownership (e.g., not for profit, government), and to assess whether rates of these infections meet criteria as quality indicators. RESEARCH DESIGN: Population-based cohort study. SUBJECTS: All laboring women without maternal, fetal, or placental complications who delivered in California in 1997, and their neonates, as reported through hospital discharge data. MEASURES: A Bayesian hierarchical logistic regression model was used to quantify the effects of both "patient-level" risk factors such as parity and prior cesarean history, and "hospital-level" risk factors such as ownership and teaching status. RESULTS: The 308,841 mother-newborn pairs in this low-risk study population delivered at 281 hospitals; 0.39% had uterine infections and 1.3% had neonatal infections. Hospital ownership and teaching status were strongly associated with perinatal infection. Secondly, methods used to estimate and analyze hospital-specific infection rates identified hospitals with exceptionally high rates. Twenty-eight hospitals had neonatal infection rates that ranged from 3% to 28%. CONCLUSIONS: The methods presented here were consistent with AHRQ methods and criteria for potential Quality Indicators. They also identified hospitals with exceptionally high rates of infectious morbidity. The relationship between hospital ownership and obstetrical practice patterns, and the feasibility of practice improvement, remain to be studied.
BACKGROUND: In 2003, the Agency for Healthcare Quality and Research (AHRQ) published its Quality Indicators for healthcare, and set out methodological criteria for the evaluation of potential candidates. OBJECTIVES: Because perinatal infections may result from poor obstetrical practices, we intended to describe the variability of maternal and congenital neonatal infections across different types of hospital ownership (e.g., not for profit, government), and to assess whether rates of these infections meet criteria as quality indicators. RESEARCH DESIGN: Population-based cohort study. SUBJECTS: All laboring women without maternal, fetal, or placental complications who delivered in California in 1997, and their neonates, as reported through hospital discharge data. MEASURES: A Bayesian hierarchical logistic regression model was used to quantify the effects of both "patient-level" risk factors such as parity and prior cesarean history, and "hospital-level" risk factors such as ownership and teaching status. RESULTS: The 308,841 mother-newborn pairs in this low-risk study population delivered at 281 hospitals; 0.39% had uterine infections and 1.3% had neonatal infections. Hospital ownership and teaching status were strongly associated with perinatal infection. Secondly, methods used to estimate and analyze hospital-specific infection rates identified hospitals with exceptionally high rates. Twenty-eight hospitals had neonatal infection rates that ranged from 3% to 28%. CONCLUSIONS: The methods presented here were consistent with AHRQ methods and criteria for potential Quality Indicators. They also identified hospitals with exceptionally high rates of infectious morbidity. The relationship between hospital ownership and obstetrical practice patterns, and the feasibility of practice improvement, remain to be studied.
Authors: Stephanie J Schrag; Elizabeth R Zell; Ruth Lynfield; Aaron Roome; Kathryn E Arnold; Allen S Craig; Lee H Harrison; Arthur Reingold; Karen Stefonek; Glenda Smith; Melanie Gamble; Anne Schuchat Journal: N Engl J Med Date: 2002-07-25 Impact factor: 91.245
Authors: Jeffrey B Gould; Beate Danielsen; Lisa M Korst; Roderic Phibbs; Kathy Chance; Elliott Main; David D Wirtschafter; David K Stevenson Journal: Obstet Gynecol Date: 2004-07 Impact factor: 7.661