OBJECTIVE: To systematically monitor the frequency and risk factors of adverse events (AEs) in a reproductive surgery endoscopy unit. DESIGN: Prospective cohort study. SETTING: Academic research institution. PATIENT(S): All consecutive surgical patients of a reproductive surgery unit from December 2005 to March 2007. INTERVENTION(S): Monitoring for predefined AEs by trained observers. MAIN OUTCOME MEASURE(S): Number of preventable and not preventable AEs, medical errors, and system problems. Univariate analysis and multivariate logistic regression were used to identify risk factors of AEs. RESULT(S): Seven hundred ninety-six women were included. We identified 60 AEs in 45 patients (risk 6%; 95% confidence interval [CI] 1%-11%). Adverse events were postoperative fever (n = 1), wound breakdown (n = 1), intraoperative or postoperative administration of packed erythrocytes (n = 6), surgical revision (n = 7), unplanned readmission (n = 5), transfer to intensive care unit (n = 1), conversion (n = 8), intraoperative organ injury (n = 9), blood loss >500 mL (n = 3), surgery canceled (n = 15), and other AEs (n = 4). Six patients (risk 0.8%; 95% CI 0-2%) had multiple AEs. One (0.01%) and 11 (1.4%) AEs were deemed due to medical errors and system problems, respectively. Twelve and 48 AEs were deemed preventable and not preventable, respectively. In a univariate and multivariate analysis, only duration of surgery (odds ratio 3.78; 95% CI 1.95-7.33) was significantly associated with having an AE. CONCLUSION(S): Clinical outcome monitoring is a useful tool for assessing the outcome quality of reproductive surgery by identifying potentially preventable AEs and associated risk factors.
OBJECTIVE: To systematically monitor the frequency and risk factors of adverse events (AEs) in a reproductive surgery endoscopy unit. DESIGN: Prospective cohort study. SETTING: Academic research institution. PATIENT(S): All consecutive surgical patients of a reproductive surgery unit from December 2005 to March 2007. INTERVENTION(S): Monitoring for predefined AEs by trained observers. MAIN OUTCOME MEASURE(S): Number of preventable and not preventable AEs, medical errors, and system problems. Univariate analysis and multivariate logistic regression were used to identify risk factors of AEs. RESULT(S): Seven hundred ninety-six women were included. We identified 60 AEs in 45 patients (risk 6%; 95% confidence interval [CI] 1%-11%). Adverse events were postoperative fever (n = 1), wound breakdown (n = 1), intraoperative or postoperative administration of packed erythrocytes (n = 6), surgical revision (n = 7), unplanned readmission (n = 5), transfer to intensive care unit (n = 1), conversion (n = 8), intraoperative organ injury (n = 9), blood loss >500 mL (n = 3), surgery canceled (n = 15), and other AEs (n = 4). Six patients (risk 0.8%; 95% CI 0-2%) had multiple AEs. One (0.01%) and 11 (1.4%) AEs were deemed due to medical errors and system problems, respectively. Twelve and 48 AEs were deemed preventable and not preventable, respectively. In a univariate and multivariate analysis, only duration of surgery (odds ratio 3.78; 95% CI 1.95-7.33) was significantly associated with having an AE. CONCLUSION(S): Clinical outcome monitoring is a useful tool for assessing the outcome quality of reproductive surgery by identifying potentially preventable AEs and associated risk factors.