OBJECTIVE: To evaluate the frequency of medication errors using a multidisciplinary approach, to classify these errors by type, and to determine how often medication errors are associated with adverse drug events (ADEs) and potential ADEs. DESIGN: Medication errors were detected using self-report by pharmacists, nurse review of all patient charts, and review of all medication sheets. Incidents that were thought to represent ADEs or potential ADEs were identified through spontaneous reporting from nursing or pharmacy personnel, solicited reporting from nurses, and daily chart review by the study nurse. Incidents were subsequently classified by two independent reviewers as ADEs or potential ADEs. SETTING: Three medical units at an urban tertiary care hospital. PATIENTS: A cohort of 379 consecutive admissions during a 51-day period (1,704 patient-days). INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Over the study period, 10,070 medication orders were written, and 530 medications errors were identified (5.3 errors/100 orders), for a mean of 0.3 medication errors per patient-day, or 1.4 per admission. Of the medication errors, 53% involved at least one missing dose of a medication; 15% involved other dose errors, 8% frequency errors, and 5% route errors. During the same period, 25 ADEs and 35 potential ADEs were found. Of the 25 ADEs, five (20%) were associated with medication errors; all were judged preventable. Thus, five of 530 medication errors (0.9%) resulted in ADEs. Physician computer order entry could have prevented 84% of non-missing dose medication errors, 86% of potential ADEs, and 60% of preventable ADEs. CONCLUSIONS: Medication errors are common, although relatively few result in ADEs. However, those that do are preventable, many through physician computer order entry.
OBJECTIVE: To evaluate the frequency of medication errors using a multidisciplinary approach, to classify these errors by type, and to determine how often medication errors are associated with adverse drug events (ADEs) and potential ADEs. DESIGN: Medication errors were detected using self-report by pharmacists, nurse review of all patient charts, and review of all medication sheets. Incidents that were thought to represent ADEs or potential ADEs were identified through spontaneous reporting from nursing or pharmacy personnel, solicited reporting from nurses, and daily chart review by the study nurse. Incidents were subsequently classified by two independent reviewers as ADEs or potential ADEs. SETTING: Three medical units at an urban tertiary care hospital. PATIENTS: A cohort of 379 consecutive admissions during a 51-day period (1,704 patient-days). INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Over the study period, 10,070 medication orders were written, and 530 medications errors were identified (5.3 errors/100 orders), for a mean of 0.3 medication errors per patient-day, or 1.4 per admission. Of the medication errors, 53% involved at least one missing dose of a medication; 15% involved other dose errors, 8% frequency errors, and 5% route errors. During the same period, 25 ADEs and 35 potential ADEs were found. Of the 25 ADEs, five (20%) were associated with medication errors; all were judged preventable. Thus, five of 530 medication errors (0.9%) resulted in ADEs. Physician computer order entry could have prevented 84% of non-missing dose medication errors, 86% of potential ADEs, and 60% of preventable ADEs. CONCLUSIONS: Medication errors are common, although relatively few result in ADEs. However, those that do are preventable, many through physician computer order entry.
Authors: R Fijn; P M L A Van den Bemt; M Chow; C J De Blaey; L T W De Jong-Van den Berg; J R B J Brouwers Journal: Br J Clin Pharmacol Date: 2002-03 Impact factor: 4.335
Authors: Alisa Khan; Nancy D Spector; Jennifer D Baird; Michele Ashland; Amy J Starmer; Glenn Rosenbluth; Briana M Garcia; Katherine P Litterer; Jayne E Rogers; Anuj K Dalal; Stuart Lipsitz; Catherine S Yoon; Katherine R Zigmont; Amy Guiot; Jennifer K O'Toole; Aarti Patel; Zia Bismilla; Maitreya Coffey; Kate Langrish; Rebecca L Blankenburg; Lauren A Destino; Jennifer L Everhart; Brian P Good; Irene Kocolas; Rajendu Srivastava; Sharon Calaman; Sharon Cray; Nicholas Kuzma; Kheyandra Lewis; E Douglas Thompson; Jennifer H Hepps; Joseph O Lopreiato; Clifton E Yu; Helen Haskell; Elizabeth Kruvand; Dale A Micalizzi; Wilma Alvarado-Little; Benard P Dreyer; H Shonna Yin; Anupama Subramony; Shilpa J Patel; Theodore C Sectish; Daniel C West; Christopher P Landrigan Journal: BMJ Date: 2018-12-05
Authors: Renata Rego Lins Fumis; Eduardo Leite Vieira Costa; Paulo Sergio Martins; Vladimir Pizzo; Ivens Augusto Souza; Guilherme de Paula Pinto Schettino Journal: Rev Bras Ter Intensiva Date: 2014 Jan-Mar