Physician versus computer knowledge of potential drug interactions in the emergency department

Citation
Mi. Langdorf et al., Physician versus computer knowledge of potential drug interactions in the emergency department, ACAD EM MED, 7(11), 2000, pp. 1321-1329
Citations number
39
Categorie Soggetti
Aneshtesia & Intensive Care
Journal title
ACADEMIC EMERGENCY MEDICINE
ISSN journal
10696563 → ACNP
Volume
7
Issue
11
Year of publication
2000
Pages
1321 - 1329
Database
ISI
SICI code
1069-6563(200011)7:11<1321:PVCKOP>2.0.ZU;2-9
Abstract
Introduction: Proliferation of Food and Drug Administration-approved drugs makes it impossible for emergency medicine (EM) faculty to stay current on potential interactions between drugs, and with diseases, laboratory tests, and ethanol. A computer database may augment physician knowledge. Objective s: To compare the performance of EM faculty and an "expert" emergency physi cian (EP) with that of a criterion standard computer database in identifyin g potential drug interactions, and to report the incidence of drug-ethanol and drug-laboratory test interactions. Methods: This was a retrospective re view of 276 emergency department charts for drug, ethanol, lab, and medical history. Evaluation by both EM: faculty and an "expert" EP of patient hist ory was done to identify potential interactions, and comparison with the Mi cromedex Drug-Rear database for potential interactions (graded minor, moder ate, or major) was made. Clinical significance of potential interactions wa s judged by a second EM faculty member. Results: Seventeen percent of the p atients had potential drug-drug interactions, and 25% of these were judged to be clinically significant. Up to 52% of the patients had potential drug- ethanol interactions, while 38% of the patients could have potential drug-l ab interactions. Sensitivity, specificity, and positive and negative predic tive values of the EM faculty for potential drug-drug interactions compared with the computer were poor, at 14%, 58%, 6%, and 23%, respectively. The c orresponding values for the "expert" EP were 25%, 86%, 26%, and 85%. The "e xpert" EP was statistically better than the EM faculty, but still less sens itive and predictive than the computer. Conclusions: A computer can aid the physician in avoiding potential drug interactions. Prospective validation of these findings should be done.