Impact of implementing alerts about medication black-box warnings in electronic health records

Pharmacoepidemiol Drug Saf. 2011 Feb;20(2):192-202. doi: 10.1002/pds.2088. Epub 2010 Dec 28.

Abstract

Background: The Food and Drug Administration issues black-box warnings (BBWs) regarding medications with serious risks, yet physician adherence to the warnings is low.

Methods: We evaluated the impact of delivering BBW-based alerts about drug-drug, drug-disease, and drug-laboratory interactions for prescription medications in outpatients in an electronic health record with clinical decision support. We compared the frequency of non-adherence to all BBWs about drug-drug, drug-disease, and drug-laboratory interactions for 30 drugs/drug classes, and by individual drugs/drug groups with BBWs between the pre- and post-intervention periods. We used multivariate analysis to identify independent risk factors for non-adherence to BBWs.

Results: There was a slightly higher frequency of non-adherence to BBWs after the intervention (4.8% vs. 5.1%, p=0.045). In multivariate analyses, after adjustment for patient and provider characteristics and site of care, medications prescribed during the pre-intervention period were less likely to violate BBWs compared to those prescribed during the post-intervention period (OR 0.67, 95% CI, 0.47-0.96). However, black-box warning violations did decrease after the intervention for BBWs about drug-drug interactions (6.1% vs. 1.8%, p<0.0001) and drug-pregnancy interactions (5.1% vs. 3.6%, p=0.01).

Conclusions: Ambulatory care computerized order entry with prescribing alerts about BBWs did not improve clinicians' overall adherence to BBWs, though it did improve adherence for specific clinically important subcategories.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Ambulatory Care
  • Boston
  • Chi-Square Distribution
  • Consumer Product Safety
  • Decision Support Systems, Clinical
  • Drug Information Services*
  • Drug Interactions
  • Drug Labeling*
  • Drug Therapy, Computer-Assisted
  • Drug-Related Side Effects and Adverse Reactions
  • Electronic Health Records*
  • Female
  • Guideline Adherence
  • Humans
  • Logistic Models
  • Male
  • Medical Order Entry Systems*
  • Medication Errors / prevention & control*
  • Middle Aged
  • Odds Ratio
  • Practice Guidelines as Topic
  • Practice Patterns, Physicians'*
  • Risk Assessment
  • Risk Factors
  • United States
  • United States Food and Drug Administration
  • Young Adult