Recommendations for generating, evaluating, and implementing drug-drug interaction evidence

Pharmacotherapy. 2012 Apr;32(4):304-13. doi: 10.1002/j.1875-9114.2012.01024.x.


In October 2009, a 2-day, multistakeholder, national conference was held in Rockville, Maryland, to discuss and propose methods to improve the drug-drug interaction (DDI) evidence base and its evaluation and integration into clinical decision support (CDS) systems. The conference featured participants representing consumers, health care providers, those responsible for relevant policies and guidelines, and developers and vendors of DDI compendia, databases, and CDS systems. One desired outcome of the conference was to prepare recommendations on critical issues surrounding DDI evidence. A set of recommendations was developed to improve the generation, evaluation, and translation of DDI evidence into CDS systems based on presentations by experts and the supporting literature. These recommendations were reviewed initially by conference moderators, speakers, and Scientific Steering and Planning Committee members, and subsequently by all attendees. The following recommendations were developed to increase patient safety by improving the relevance and assessment of DDI evidence: conduct well-designed studies to determine the incidence, outcomes, and patient-level risk factors for DDIs; use a systematic and transparent process for evaluating the DDI evidence in order to estimate the severity and risks of DDIs; and improve the integration of DDI evidence into electronic CDS. Opportunities exist to improve the DDI evidence base, develop and promote a systematic approach for evaluating the evidence, and integrate this evidence into meaningful CDS.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adverse Drug Reaction Reporting Systems
  • Databases, Factual
  • Decision Support Systems, Clinical
  • Drug Interactions*
  • Evidence-Based Medicine / standards*
  • Guidelines as Topic
  • Humans
  • Research Design
  • Risk Factors
  • Treatment Outcome