title: Factors associated with medication warning acceptance for hospitalized adults.
abstract: BACKGROUND
  Computerized provider order entry (CPOE) systems can warn clinicians ordering medications about potential allergic or adverse reactions, duplicate therapy, and interactions with other medications. Clinicians frequently override these warnings. Understanding the factors associated with warning acceptance should guide revisions to these systems.
  
  
  OBJECTIVE
  Increase understanding of the factors associated with medication warning acceptance.
  
  
  METHODS
  Retrospective study of all single-medication warnings generated in a CPOE system from October 2009 through April 2010.
  
  
  METHODS
  Academic medical center.
  
  
  METHODS
  All adult non-intensive care unit patients hospitalized during the study period.
  
  
  RESULTS
  A total of 40,391 medication orders generated a single-medication warning during the 7-month study period. Of these warnings, 47% were duplicate warnings, 47% interaction warnings, 6% allergy warnings, 0.1% adverse reaction warnings, and 9.8% were repeated for the same patient, medication, and provider. Only 4% of warnings were accepted. In multivariate analysis, warning acceptance was positively associated with male patient gender, admission to a service other than internal medicine, caregiver status other than resident, parenteral medications, lower numbers of warnings, and allergy or adverse reaction warning types. Older patient age, longer length of stay, inclusion on the Institute for Safe Medication Practice's List of High Alert Medications, and interaction warning type were all negatively associated with warning acceptance.
  
  
  CONCLUSIONS
  Medication warnings are rarely accepted. Acceptance is more likely when the warning is infrequently encountered, and least likely when it is potentially most important. Warning systems should be redesigned to increase their effectiveness for the sickest patients, the least experienced physicians, and the medications with the greatest potential to cause harm.
authors.affiliation: Department of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, Maryland.
authors.forename: Amy M
authors.initials: AM
authors.lastname: Knight
authors.forename: Olufunmilayo
authors.initials: O
authors.lastname: Falade
authors.forename: Joyce
authors.initials: J
authors.lastname: Maygers
authors.forename: Jonathan E
authors.initials: JE
authors.lastname: Sevransky
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D004360:Drug Therapy, Computer-Assisted / Q000592:standards* / Q000639:trends; D005260:Female; D006760:Hospitalization / Q000639:trends; D006801:Humans; D008297:Male; D050316:Medical Order Entry Systems / Q000592:standards* / Q000639:trends; D008508:Medication Errors / Q000517:prevention & control / Q000639:trends; D008875:Middle Aged; D010819:Physician's Role; D012189:Retrospective Studies; D055815:Young Adult