TY - JOUR
T1 - Computerized Surveillance for Adverse Drug Events in a Pediatric Hospital
AU - Kilbridge, Peter M.
AU - Noirot, Laura A.
AU - Reichley, Richard M.
AU - Berchelmann, Kathleen M.
AU - Schneider, Cortney
AU - Heard, Kevin M.
AU - Nelson, Miranda
AU - Bailey, Thomas C.
N1 - Funding Information:
Supported by AHRQ Grant 1R18HS017010.
PY - 2009/9
Y1 - 2009/9
N2 - There are limited data on adverse drug event rates in pediatrics. The authors describe the implementation and evaluation of an automated surveillance system modified to detect adverse drug events (ADEs) in pediatric patients. The authors constructed an automated surveillance system to screen admissions to a large pediatric hospital. Potential ADEs identified by the system were reviewed by medication safety pharmacists and a physician and scored for causality and severity. Over the 6 month study period, 6,889 study children were admitted to the hospital for a total of 40,250 patient-days. The ADE surveillance system generated 1226 alerts, which yielded 160 true ADEs. This represents a rate of 2.3 ADEs per 100 admissions or 4 per 1,000 patient-days. Medications most frequently implicated were diuretics, antibiotics, immunosuppressants, narcotics, and anticonvulsants. The composite positive predictive value of the ADE surveillance system was 13%. Automated surveillance can be an effective method for detecting ADEs in hospitalized children.
AB - There are limited data on adverse drug event rates in pediatrics. The authors describe the implementation and evaluation of an automated surveillance system modified to detect adverse drug events (ADEs) in pediatric patients. The authors constructed an automated surveillance system to screen admissions to a large pediatric hospital. Potential ADEs identified by the system were reviewed by medication safety pharmacists and a physician and scored for causality and severity. Over the 6 month study period, 6,889 study children were admitted to the hospital for a total of 40,250 patient-days. The ADE surveillance system generated 1226 alerts, which yielded 160 true ADEs. This represents a rate of 2.3 ADEs per 100 admissions or 4 per 1,000 patient-days. Medications most frequently implicated were diuretics, antibiotics, immunosuppressants, narcotics, and anticonvulsants. The composite positive predictive value of the ADE surveillance system was 13%. Automated surveillance can be an effective method for detecting ADEs in hospitalized children.
UR - http://www.scopus.com/inward/record.url?scp=69549086475&partnerID=8YFLogxK
U2 - 10.1197/jamia.M3167
DO - 10.1197/jamia.M3167
M3 - Article
C2 - 19567791
AN - SCOPUS:69549086475
SN - 1067-5027
VL - 16
SP - 607
EP - 612
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 5
ER -