title: A mixed method study of the merits of e-prescribing drug alerts in primary care.
abstract: OBJECTIVE
  The objective of this paper was to describe primary care prescribers' perspectives on electronic prescribing drug alerts at the point of prescribing.
  
  
  METHODS
  We used a mixed-method study which included clinician surveys (web-based and paper) and focus groups with prescribers and staff.
  
  
  METHODS
  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.
  
  
  METHODS
  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.
authors: Department of Community Health, Brown Medical School, Providence, RI 02903, USA. Kate_Lapane@Brown.edu
authors: Kate L
authors: KL
authors: Lapane
authors: Molly E
authors: ME
authors: Waring
authors: Karen L
authors: KL
authors: Schneider
authors: Catherine
authors: C
authors: Dubé
authors: Brian J
authors: BJ
authors: Quilliam
mesh_terms: D001292:Attitude to Computers; D016303:Clinical Pharmacy Information Systems; D003625:Data Collection; D004360:Drug Therapy, Computer-Assisted; D005260:Female; D017144:Focus Groups; D006801:Humans; D008297:Male; D050316:Medical Order Entry Systems; D008508:Medication Errors / Q000517:prevention & control*; D009722:Nurse Practitioners; D010823:Physician Assistants; D010821:Physicians, Family; D019338:Polypharmacy; D011320:Primary Health Care; D017010:Reminder Systems; D014481:United States