Consensus Recommendations for Systematic Evaluation of Drug–Drug Interaction Evidence for Clinical Decision Support

Richard T. Scheife; Lisa E. Hines; Richard D. Boyce; Sophie P. Chung; Jeremiah D. Momper; Christine D. Sommer; Darrell R. Abernethy; John R. Horn; Stephen J. Sklar; Samantha K. Wong; Gretchen Jones; Mary L. Brown; Amy J. Grizzle; Susan Comes; Tricia Lee Wilkins; Clarissa Borst; Michael A. Wittie; Daniel C. Malone

doi:10.1007/s40264-014-0262-8

Consensus Recommendations for Systematic Evaluation of Drug–Drug Interaction Evidence for Clinical Decision Support

Richard T. Scheife, Lisa E. Hines, Richard D. Boyce, Sophie P. Chung, Jeremiah D. Momper, Christine D. Sommer, Darrell R. Abernethy, John R. Horn, Stephen J. Sklar, Samantha K. Wong, Gretchen Jones, Mary L. Brown, Amy J. Grizzle, Susan Comes, Tricia Lee Wilkins, Clarissa Borst, Michael A. Wittie, Daniel C. Malone

School of Medicine

Research output: Contribution to journal › Article › peer-review

71 Scopus citations

Abstract

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.

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.

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.

Original language	English (US)
Pages (from-to)	197-206
Number of pages	10
Journal	Drug Safety
Volume	38
Issue number	2
DOIs	https://doi.org/10.1007/s40264-014-0262-8
State	Published - Feb 14 2015

ASJC Scopus subject areas

Toxicology
Pharmacology
Pharmacology (medical)

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Scheife, R. T., Hines, L. E., Boyce, R. D., Chung, S. P., Momper, J. D., Sommer, C. D., Abernethy, D. R., Horn, J. R., Sklar, S. J., Wong, S. K., Jones, G., Brown, M. L., Grizzle, A. J., Comes, S., Wilkins, T. L., Borst, C., Wittie, M. A., & Malone, D. C. (2015). Consensus Recommendations for Systematic Evaluation of Drug–Drug Interaction Evidence for Clinical Decision Support. Drug Safety, 38(2), 197-206. https://doi.org/10.1007/s40264-014-0262-8

Scheife, RT, Hines, LE, Boyce, RD, Chung, SP, Momper, JD, Sommer, CD, Abernethy, DR, Horn, JR, Sklar, SJ, Wong, SK, Jones, G, Brown, ML, Grizzle, AJ, Comes, S, Wilkins, TL, Borst, C, Wittie, MA & Malone, DC 2015, 'Consensus Recommendations for Systematic Evaluation of Drug–Drug Interaction Evidence for Clinical Decision Support', Drug Safety, vol. 38, no. 2, pp. 197-206. https://doi.org/10.1007/s40264-014-0262-8

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abstract = "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.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.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.",

author = "Scheife, {Richard T.} and Hines, {Lisa E.} and Boyce, {Richard D.} and Chung, {Sophie P.} and Momper, {Jeremiah D.} and Sommer, {Christine D.} and Abernethy, {Darrell R.} and Horn, {John R.} and Sklar, {Stephen J.} and Wong, {Samantha K.} and Gretchen Jones and Brown, {Mary L.} and Grizzle, {Amy J.} and Susan Comes and Wilkins, {Tricia Lee} and Clarissa Borst and Wittie, {Michael A.} and Malone, {Daniel C.}",

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doi = "10.1007/s40264-014-0262-8",

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AU - Chung, Sophie P.

AU - Momper, Jeremiah D.

AU - Sommer, Christine D.

AU - Abernethy, Darrell R.

AU - Horn, John R.

AU - Sklar, Stephen J.

AU - Wong, Samantha K.

AU - Jones, Gretchen

AU - Brown, Mary L.

AU - Grizzle, Amy J.

AU - Comes, Susan

AU - Wilkins, Tricia Lee

AU - Borst, Clarissa

AU - Wittie, Michael A.

AU - Malone, Daniel C.

PY - 2015/2/14

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N2 - 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.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.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.

AB - 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.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.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.

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Consensus Recommendations for Systematic Evaluation of Drug–Drug Interaction Evidence for Clinical Decision Support

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