PEDIATRICS Vol. 108 No. 4 October 2001, p. e75
Received Mar 15, 2001; accepted May 22, 2001.
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From the Departments of * Medical Informatics and Objective. Computerized medical
decision support tools have been shown to improve the quality of care
and have been cited by the Institute of Medicine as one method to
reduce pharmaceutical errors. We evaluated the impact of an
antiinfective decision support tool in a pediatric intensive care unit
(PICU).
Methods. We enhanced an existing adult antiinfective
management tool by adding and changing medical logic to make it
appropriate for pediatric patients. Process and outcomes measures were
monitored prospectively during a 6-month control and a 6-month
intervention period. Mandatory use of the decision support tool was
initiated for all antiinfective orders in a 26-bed PICU during the
intervention period. Clinician opinions of the decision support tool
were surveyed via questionnaire.
Results. The rate of pharmacy interventions for erroneous
drug doses declined by 59%. The rate of anti-infective subtherapeutic
patient days decreased by 36%, and the rate of excessive-dose days
declined by 28%. The number of orders placed per antiinfective course
decreased 11.5%, and the robust estimate of the antiinfective costs
per patient decreased 9%. The type of anti-infectives ordered and the
number of antiinfective doses per patient remained similar, as did the
rates of adverse drug events and antibiotic-bacterial susceptibility
mismatches. The surveyed clinicians reported that use of the program
improved their antiinfective agent choices as well as their awareness
of impairments in renal function and reduced the likelihood of adverse
drug events.
Conclusions. Use of the pediatric antiinfective decision
support tool in a PICU was considered beneficial to patient care by the
clinicians and reduced the rates of erroneous drug orders, improved
therapeutic dosage targets, and was associated with a decreased robust
estimate of antiinfective costs per patient.
antiinfective agents, decision support systems, drug therapy,
medication errors, child, infant.
Pediatrics,
University of Utah; § Department of Clinical Epidemiology, LDS
Hospital, and
Department of Medical Informatics, Intermountain
Health Care, Salt Lake City, Utah.
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