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).
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.
Key words medication error - adverse drug event - computer order entry
Received/mm the Division of General Medicine, Departments of Medicine and Pharmacy, Brigham and Women’s Hospital and Harvard
Medical School, Boston, Massachusetts.
Supported in part by the Risk Management Foundation. Dr. Bates is the recipient of National Resource Service Award 1 F32 HS00040-01
from the Agency for Health Care Policy and Research.