Exposure to automated drug alerts over time: effects on clinicians' knowledge and perceptions.
OBJECTIVE
We tested whether interval exposure to an automated drug alert system that included approximately 2000 drug-drug interaction alerts increased recognition of selected interacting drug pairs. We also examined other perceptions about computerized order entry.


METHODS
We administered cross-sectional surveys in 2000 and 2002 that included more than 260 eligible clinicians in each time period.


METHODS
We studied clinicians practicing in ambulatory settings within a Southern California Veterans Affairs Healthcare System and who responded to both surveys (97 respondents).


METHODS
We sought to measure (1) recognition of selected drug-drug and drug-condition interactions and (2) other benefits and barriers to using automated drug alerts.


RESULTS
Clinicians correctly categorized similar percentages of the 7 interacting drug-drug pairs at baseline and follow-up (53% vs. 54%, P = 0.51) but improved their overall recognition of the 3 contraindicated drug-drug pairs (51% vs. 60%, P = 0.01). No significant changes from baseline to follow-up were found for the 8 interacting drug-condition pairs (60% vs. 62%, P = 0.43) or the 4 contraindicated drug-condition pairs (52% vs. 56%, P = 0.24). More providers preferred using order entry at follow-up than baseline (63% vs. 45%, P < 0.001). Signal-to-noise ratio remained the biggest reported problem at follow-up and baseline (54 vs. 57%, P = 0.75). In 2002, clinicians reported seeing a median of 5 drug alerts per week (representing approximately 12.5% of prescriptions entered), with a median 5% reportedly leading to an action.


CONCLUSIONS
Interval exposure to automated drug alerts had little to no effect on recognition of selected drug-drug interactions. The primary perceived barrier to effective utilization of drug alerts remained the same over time.
Glassman
Peter A
PA
VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA.
Belperio
Pamela
P
Simon
Barbara
B
Lanto
Andrew
A
Lee
Martin
M
D000328:Adult; D016907:Adverse Drug Reaction Reporting Systems / Q000706:statistics & numerical data*; D000554:Ambulatory Care Facilities; D001291:Attitude of Health Personnel; D001331:Automation; D002140:California; D003430:Cross-Sectional Studies; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D016347:Medical Records Systems, Computerized; D008508:Medication Errors / Q000517:prevention & control; D008875:Middle Aged; D017751:Safety Management