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. Author manuscript; available in PMC: 2016 Jan 31.
Published in final edited form as: Drug Saf. 2015 Feb;38(2):197–206. doi: 10.1007/s40264-014-0262-8

Table 1.

Summary of Evidence Workgroup Recommendations for Systematic Evaluation of DDI Evidence

Recommendation Comments
Recommendations to be Adopted in the Short Term
Apply consistent terminology
  • Terminology defined by the Evidence Workgroup is provided in Appendix A.

Apply DIPS for evaluating DDI case reports [20]
  • DIPS guides users to conduct an explicit, transparent, complete, and balanced assessment of the attributes important to causality assessment of whether a DDI occurred and exists [30].

A new approach for evaluating a body of evidence
  • DRIVE was developed based upon important concepts from existing methods [31, 32] with modification to: (1) use simple evidence categories; (2) include causality assessment with DDI case reports (via DIPS); (3) apply reasonable extrapolation, including from in vitro studies; and (4) address evidence/statements provided in product labeling; and (5) describe study quality criteria and interpretation in the context of DDIs.

Evaluate statements/evidence in FDA documents and product labeling by same criteria as published evidence
  • DDI recommendations provided in labeling that are not supported by PK data or PD properties of the drugs are insufficient evidence.

  • DDI listings/recommendations in CDS systems do not need to align with unsupported statements in product labeling.

Classify DDIs by therapeutic/pharmacologic class only when the evidence applies, or can be reasonably extrapolated, to the entire class of drugs
  • Class effects distinction commonly apply to PD DDIs, but rarely to PK DDIs.

Recommendations for Future Work
Evaluate DRIVE Instrument
  • Testing should include (1) usability; (2) inter-rater agreement, (3) concordance (where expected) with similar systems [31, 32]; and evaluation of DIPS for case reports [20].

Develop systematic DDI search criteria
  • See examples by Boyce et al. [3335].

  • Search should include unpublished literature, including FDA preapproval reviews and post- marketing analyses [36, 37].

  • Search criteria are needed to identify evidence for: (1) the existence of a DDI; (2) clinical outcomes, including frequency and modifying factors; and (3) clinical management (e.g., monitoring, dosage adjustments, and therapeutic alternatives).

Identify or develop a system to evaluate and communicate the strength of DDI evidence with graded recommendations [49]
  • The GRADE approach is endorsed or used by numerous organizations (e.g., AHRQ, Cochrane Collaboration, WHO) [5457].

  • A modified GRADE approach is used by the University of Liverpool for evidence of DDIs involving medications for HIV and hepatitis C [64, 65].

AHRQ = Agency for Healthcare Research and Quality; CDS = clinical decision support; DDI = drug-drug interaction; DIPS = Drug Interaction Probability Scale; DRIVE = DRug Interaction eVidence Evaluation (DRIVE); FDA = Food and Drug Administration; GRADE = Grading of Recommendations, Assessment, Development, and Evaluation; PD = pharmacodynamics; PK = pharmacokinetic; WHO = World Health Organization