A mixed method study of the merits of e-prescribing drug alerts in primary care
UMass Chan Affiliations
Department of Quantitative Health SciencesDocument Type
Journal ArticlePublication Date
2008-04-01Keywords
*Attitude to Computers*Clinical Pharmacy Information Systems
Data Collection
*Drug Therapy, Computer-Assisted
Female
Focus Groups
Humans
Male
Medical Order Entry Systems
Medication Errors
Nurse Practitioners
Physician Assistants
Physicians, Family
Polypharmacy
Primary Health Care
*Reminder Systems
United States
Bioinformatics
Biostatistics
Epidemiology
Health Services Research
Metadata
Show full item recordAbstract
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.Source
J Gen Intern Med. 2008 Apr;23(4):442-6. Link to article on publisher's siteDOI
10.1007/s11606-008-0505-4Permanent Link to this Item
http://hdl.handle.net/20.500.14038/47231PubMed ID
18373142Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1007/s11606-008-0505-4