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. 2008 Apr;23(4):442-6.
doi: 10.1007/s11606-008-0505-4.

A mixed method study of the merits of e-prescribing drug alerts in primary care

Kate L Lapane  1 , Molly E Waring, Karen L Schneider, Catherine Dubé, Brian J Quilliam
Affiliations

A mixed method study of the merits of e-prescribing drug alerts in primary care

Kate L Lapane et al. J Gen Intern Med. 2008 Apr.

Abstract

Objectives: The objective of this paper was to describe primary care prescribers' perspectives on electronic prescribing drug alerts at the point of prescribing.

Design: We used a mixed-method study which included clinician surveys (web-based and paper) and focus groups with prescribers and staff.

Participants: Prescribers (n = 157) working in one of 64 practices using 1 of 6 e-prescribing technologies in 6 US states completed the quantitative survey and 276 prescribers and staff participated in focus groups.

Measurements: The study measures self-reported frequency of overriding of drug alerts; open-ended responses to: "What do you think of the drug alerts your software generates for you?"

Results: More than 40% of prescribers indicated they override drug-drug interactions most of the time or always (range by e-prescribing system, 25% to 50%). Participants indicated that the software and the interaction alerts were beneficial to patient safety and valued seeing drug-drug interactions for medications prescribed by others. However, they noted that alerts are too sensitive and often unnecessary. Participant suggestions included: (1) run drug alerts on an active medication list and (2) allow prescribers to set the threshold for severity of alerts.

Conclusions: Primary care prescribers recognize the patient safety value of drug prescribing alerts embedded within electronic prescribing software. Improvements to increase specificity and reduce alert overload are needed.

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Figures

Figure 1
Figure 1
Frequency with which prescribers override drug alerts. Self-reported frequency of prescribers overriding drug alerts regarding allergies (a), dose checks (b), and drug–drug interactions (c) stratified by physician software system used by prescribers. Black bars represent responses of Always or Most of the Time, gray bars represent responses of Sometimes, and white bars represent responses of Never.
See this image and copyright information in PMC

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