TY - JOUR
T1 - Risk Factors for Electronic Prescription Errors in Pediatric Intensive Care Patients
AU - Kadmon, Gili
AU - Shifrin, Michal
AU - Pinchover, Michal
AU - Nahum, Elhanan
N1 - Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - Objectives: To assess risk factors for electronic prescription errors in a PICU. Design: A database of electronic prescriptions issued by a computerized physician order entry with clinical decision support system was analyzed to identify risk factors for prescription errors. Measurements and Main Results: Of 6,250 prescriptions, 101 were associated with errors (1.6%). The error rate was twice as high in patients older than 12 years than in patients children 6-12 and 0-6 years old (2.4% vs 1.3% and 1.2%, respectively, p < 0.05). Compared with patients without errors, patients with errors had a significantly higher score on the Pediatric Index of Mortality 2 (-3.7 vs-4.5; p = 0.05), longer PICU stay (6 vs 3.1 d; p < 0.0001), and higher number of prescriptions per patient (40.8 vs. 15.7; p < 0.0001). In addition, patients with errors were more likely to have a neurologic main admission diagnosis (p = 0.008) and less likely to have a cardiologic diagnosis (p = 0.03) than patients without errors. Conclusions: Our findings suggest that older patient age and greater disease severity are risk factors for electronic prescription errors.
AB - Objectives: To assess risk factors for electronic prescription errors in a PICU. Design: A database of electronic prescriptions issued by a computerized physician order entry with clinical decision support system was analyzed to identify risk factors for prescription errors. Measurements and Main Results: Of 6,250 prescriptions, 101 were associated with errors (1.6%). The error rate was twice as high in patients older than 12 years than in patients children 6-12 and 0-6 years old (2.4% vs 1.3% and 1.2%, respectively, p < 0.05). Compared with patients without errors, patients with errors had a significantly higher score on the Pediatric Index of Mortality 2 (-3.7 vs-4.5; p = 0.05), longer PICU stay (6 vs 3.1 d; p < 0.0001), and higher number of prescriptions per patient (40.8 vs. 15.7; p < 0.0001). In addition, patients with errors were more likely to have a neurologic main admission diagnosis (p = 0.008) and less likely to have a cardiologic diagnosis (p = 0.03) than patients without errors. Conclusions: Our findings suggest that older patient age and greater disease severity are risk factors for electronic prescription errors.
KW - adverse drug event
KW - clinical decision support system
KW - computerized physician order entry
KW - medication error
KW - patient safety
UR - http://www.scopus.com/inward/record.url?scp=85085905277&partnerID=8YFLogxK
U2 - 10.1097/PCC.0000000000002303
DO - 10.1097/PCC.0000000000002303
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C2 - 32343112
AN - SCOPUS:85085905277
SN - 1529-7535
VL - 21
SP - 557
EP - 562
JO - Pediatric Critical Care Medicine
JF - Pediatric Critical Care Medicine
IS - 6
ER -