Gili Kadmon1, Michal Pinchover2, Avichai Weissbach3, Shirley Kogan Hazan3, Elhanan Nahum3. 1. Pediatric Intensive Care Unit, Schneider Children's Medical Center in Israel, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: gilikd@gmail.com. 2. Pharmacy Department, Schneider Children's Medical Center in Israel, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 3. Pediatric Intensive Care Unit, Schneider Children's Medical Center in Israel, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Abstract
OBJECTIVE: To assess the prolonged impact of computerized physician order entry (CPOE) on medication prescription errors in pediatric intensive care patients. STUDY DESIGN: This observational study was conducted at a pediatric intensive care unit in which a CPOE (Metavision, iMDsoft, Israel) with a limited clinical decision support system was implemented between 2004 and 2007. Since then, no changes were made to the systems. We analyzed 2500 electronic prescriptions (1250 prescriptions from 2015 and 1250 prescriptions from 2016). Prescription errors were identified by a pediatric intensive care physician and classified as potential adverse drug events, medication prescription errors, or rule violations. Their prevalence was compared with the rate in 2007, reported in a previous study from the same unit. A randomly selected 10% of the prescriptions were also analyzed by the pediatric intensive care unit pharmacist, and the level of agreement was determined. RESULTS: The rate of prescription errors increased from 1.4% in 2007 to 3.2% in 2015 (P = .03). Following revision of the clinical decision support system tools, prescription errors decreased to 1% in 2016 (P < .0001). The potential adverse drug event rate dropped from 2% in 2015 to 0.7% in 2016 (P = .006), and the medication prescription error rate, from 1% to 0.2% (P = .01). The agreement between the 2 reviewers was excellent (k = 0.96). CONCLUSIONS: The rate of prescription errors may increase with time from implementation of a CPOE. Repeated surveillance of prescription errors is highly advised to plan strategies to reduce them. This approach should be considered in quality improvement of computerized information systems in general.
OBJECTIVE: To assess the prolonged impact of computerized physician order entry (CPOE) on medication prescription errors in pediatric intensive care patients. STUDY DESIGN: This observational study was conducted at a pediatric intensive care unit in which a CPOE (Metavision, iMDsoft, Israel) with a limited clinical decision support system was implemented between 2004 and 2007. Since then, no changes were made to the systems. We analyzed 2500 electronic prescriptions (1250 prescriptions from 2015 and 1250 prescriptions from 2016). Prescription errors were identified by a pediatric intensive care physician and classified as potential adverse drug events, medication prescription errors, or rule violations. Their prevalence was compared with the rate in 2007, reported in a previous study from the same unit. A randomly selected 10% of the prescriptions were also analyzed by the pediatric intensive care unit pharmacist, and the level of agreement was determined. RESULTS: The rate of prescription errors increased from 1.4% in 2007 to 3.2% in 2015 (P = .03). Following revision of the clinical decision support system tools, prescription errors decreased to 1% in 2016 (P < .0001). The potential adverse drug event rate dropped from 2% in 2015 to 0.7% in 2016 (P = .006), and the medication prescription error rate, from 1% to 0.2% (P = .01). The agreement between the 2 reviewers was excellent (k = 0.96). CONCLUSIONS: The rate of prescription errors may increase with time from implementation of a CPOE. Repeated surveillance of prescription errors is highly advised to plan strategies to reduce them. This approach should be considered in quality improvement of computerized information systems in general.
Authors: Peter J Gates; Melissa T Baysari; Madlen Gazarian; Magdalena Z Raban; Sophie Meyerson; Johanna I Westbrook Journal: Drug Saf Date: 2019-11 Impact factor: 5.606
Authors: Lin Shen; Adam Wright; Linda S Lee; Kunal Jajoo; Jennifer Nayor; Adam Landman Journal: J Am Med Inform Assoc Date: 2021-01-15 Impact factor: 4.497