OBJECTIVE: Adverse drug reactions (ADRs) occur frequently in children. However, the exact incidence of ADRs is unknown. Therefore, we studied ADRs in 1 ward and assessed whether a general approach, eg, by a computerized monitoring system, to detect ADRs in children is feasible and likely to yield a higher rate of early detected ADRs. The aim was to assess the usefulness of a computerized monitoring system before implementing costly adaptations. METHODS: An 8-month prospective study was conducted at a 10-bed pediatric isolation ward of the University Hospital. Charts were reviewed once weekly by a pharmacoepidemiological team. Clinical signs as well as laboratory changes were documented and assessed. Algorithms were used to assess the probability and severity of each detected event. RESULTS: All 214 patients admitted were enrolled in the study. A total of 68 ADRs were detected in 46 of 214 patients by the pharmacoepidemiological team. Thirty-four ADRs (50%) were detected by the staff physician, and 27 (40%) were detected primarily by analyzing laboratory parameters. Antibiotics-associated ADRs (50%) predominated, followed by glucocorticoids (16%), tuberculostatic (4%), and immunosuppressive agents (4%). In 5 cases, an ADR was responsible for the prolongation of hospital stay, and in 4 children, the ADR was responsible for hospitalization. CONCLUSIONS: The detection rate of ADRs would almost be doubled by a computerized monitoring system analyzing laboratory data. Implementation of a computer monitor system that automatically generates laboratory signals may help to identify ADRs in children, and to reduce morbidity and hospital stay, as well as costs.
OBJECTIVE: Adverse drug reactions (ADRs) occur frequently in children. However, the exact incidence of ADRs is unknown. Therefore, we studied ADRs in 1 ward and assessed whether a general approach, eg, by a computerized monitoring system, to detect ADRs in children is feasible and likely to yield a higher rate of early detected ADRs. The aim was to assess the usefulness of a computerized monitoring system before implementing costly adaptations. METHODS: An 8-month prospective study was conducted at a 10-bed pediatric isolation ward of the University Hospital. Charts were reviewed once weekly by a pharmacoepidemiological team. Clinical signs as well as laboratory changes were documented and assessed. Algorithms were used to assess the probability and severity of each detected event. RESULTS: All 214 patients admitted were enrolled in the study. A total of 68 ADRs were detected in 46 of 214 patients by the pharmacoepidemiological team. Thirty-four ADRs (50%) were detected by the staff physician, and 27 (40%) were detected primarily by analyzing laboratory parameters. Antibiotics-associated ADRs (50%) predominated, followed by glucocorticoids (16%), tuberculostatic (4%), and immunosuppressive agents (4%). In 5 cases, an ADR was responsible for the prolongation of hospital stay, and in 4 children, the ADR was responsible for hospitalization. CONCLUSIONS: The detection rate of ADRs would almost be doubled by a computerized monitoring system analyzing laboratory data. Implementation of a computer monitor system that automatically generates laboratory signals may help to identify ADRs in children, and to reduce morbidity and hospital stay, as well as costs.
Authors: Asia N Rashed; Ian C K Wong; Noel Cranswick; Stephen Tomlin; Wolfgang Rascher; Antje Neubert Journal: Eur J Clin Pharmacol Date: 2011-12-14 Impact factor: 2.953
Authors: Asia N Rashed; Lynda Wilton; Charles C H Lo; Benjamin Y S Kwong; Suzanne Leung; Ian C K Wong Journal: Br J Clin Pharmacol Date: 2014-05 Impact factor: 4.335
Authors: Asia N Rashed; Ian C K Wong; Noel Cranswick; Barbara Hefele; Stephen Tomlin; John Jackman; Kenneth Lee; Kam-Lun E Hon; Jeffrey Ong; Maisoon Ghaleb; Siew Siang Chua; Tea Ming Hui; Wolfgang Rascher; Antje Neubert Journal: Drug Saf Date: 2012-06-01 Impact factor: 5.606
Authors: Antje Neubert; Harald Dormann; Jutta Weiss; Tobias Egger; Manfred Criegee-Rieck; Wolfgang Rascher; Kay Brune; Burkhard Hinz Journal: Drug Saf Date: 2004 Impact factor: 5.606