PMID- 25556085 OWN - NLM STAT- MEDLINE DCOM- 20151026 LR - 20220316 IS - 1179-1942 (Electronic) IS - 0114-5916 (Print) IS - 0114-5916 (Linking) VI - 38 IP - 2 DP - 2015 Feb TI - Consensus recommendations for systematic evaluation of drug-drug interaction evidence for clinical decision support. PG - 197-206 LID - 10.1007/s40264-014-0262-8 [doi] AB - BACKGROUND: Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. OBJECTIVE: The aim of this study was to provide recommendations for systematic evaluation of evidence for DDIs from the scientific literature, drug product labeling, and regulatory documents. METHODS: A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 18 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar 12 times from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. RESULTS: We developed expert consensus answers to the following three key questions. (i) What is the best approach to evaluate DDI evidence? (ii) What evidence is required for a DDI to be applicable to an entire class of drugs? (iii) How should a structured evaluation process be vetted and validated? CONCLUSION: Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug compendia and clinical decision support systems in which these recommendations are implemented should be able to provide higher-quality information about DDIs. FAU - Scheife, Richard T AU - Scheife RT AD - Tufts University School of Medicine, Boston, MA, USA. FAU - Hines, Lisa E AU - Hines LE FAU - Boyce, Richard D AU - Boyce RD FAU - Chung, Sophie P AU - Chung SP FAU - Momper, Jeremiah D AU - Momper JD FAU - Sommer, Christine D AU - Sommer CD FAU - Abernethy, Darrell R AU - Abernethy DR FAU - Horn, John R AU - Horn JR FAU - Sklar, Stephen J AU - Sklar SJ FAU - Wong, Samantha K AU - Wong SK FAU - Jones, Gretchen AU - Jones G FAU - Brown, Mary L AU - Brown ML FAU - Grizzle, Amy J AU - Grizzle AJ FAU - Comes, Susan AU - Comes S FAU - Wilkins, Tricia Lee AU - Wilkins TL FAU - Borst, Clarissa AU - Borst C FAU - Wittie, Michael A AU - Wittie MA FAU - Malone, Daniel C AU - Malone DC LA - eng GR - R01 LM011838-01/LM/NLM NIH HHS/United States GR - R01 LM011838/LM/NLM NIH HHS/United States GR - R13 HS021826/HS/AHRQ HHS/United States GR - K01 AG044433-01/AG/NIA NIH HHS/United States GR - K12 HS019461-01/HS/AHRQ HHS/United States GR - K12 HS019461/HS/AHRQ HHS/United States GR - 1R13HS021826-01/HS/AHRQ HHS/United States GR - K01 AG044433/AG/NIA NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't PT - Research Support, U.S. Gov't, P.H.S. PL - New Zealand TA - Drug Saf JT - Drug safety JID - 9002928 SB - IM MH - Adverse Drug Reaction Reporting Systems/*standards MH - Databases, Factual MH - Decision Support Systems, Clinical/*standards MH - *Drug Interactions MH - Drug Labeling MH - *Electronic Prescribing MH - Evidence-Based Medicine/*standards MH - Practice Guidelines as Topic PMC - PMC4624322 MID - NIHMS732017 EDAT- 2015/01/04 06:00 MHDA- 2015/10/27 06:00 PMCR- 2016/02/01 CRDT- 2015/01/04 06:00 PHST- 2015/01/04 06:00 [entrez] PHST- 2015/01/04 06:00 [pubmed] PHST- 2015/10/27 06:00 [medline] PHST- 2016/02/01 00:00 [pmc-release] AID - 10.1007/s40264-014-0262-8 [doi] PST - ppublish SO - Drug Saf. 2015 Feb;38(2):197-206. doi: 10.1007/s40264-014-0262-8.