Recommendations for selecting drug-drug interactions for clinical decision support

被引:59
|
作者
Tilson, Hugh [1 ]
Hines, Lisa E. [2 ]
McEvoy, Gerald [3 ]
Weinstein, David M. [4 ]
Hansten, Philip D. [5 ]
Matuszewski, Karl [6 ]
le Comte, Marianne [7 ]
Higby-Baker, Stefanie [8 ]
Hanlon, Joseph T. [9 ,10 ]
Pezzullo, Lynn [2 ]
Vieson, Kathleen [11 ]
Helwig, Amy L. [12 ,13 ]
Huang, Shiew-Mei [14 ]
Perre, Anthony [15 ]
Bates, David W. [16 ]
Poikonen, John [17 ]
Wittie, Michael A. [18 ]
Grizzle, Amy J. [19 ]
Brown, Mary [20 ]
Malone, Daniel C. [20 ]
机构
[1] Univ N Carolina, Gillings Sch Global Publ Hlth, Publ Hlth Leadership & Epidemiol, Chapel Hill, NC USA
[2] Pharm Qual Alliance, Performance Measurement, Springfield, VA USA
[3] Amer Soc Hlth Syst Pharmacists, Drug Informat, Bethesda, MD USA
[4] Lexi Comp, Clin Content, Metab Interact & Genom Grp, Cleveland, OH USA
[5] Univ Washington, Sch Pharm, Dept Pharm, Seattle, WA 98195 USA
[6] First Databank, Clin & Editorial Knowledge Base Serv, San Francisco, CA USA
[7] Drug Informat Ctr, Royal Dutch Assoc Adv Pharm, The Hague, Netherlands
[8] Cerner Multum, Denver, CO USA
[9] Univ Pittsburgh, Div Geriatr, Pittsburgh, PA USA
[10] Univ Pittsburgh, Dept Pharm & Therapeut, Pittsburgh, PA USA
[11] Elsevier Clin Solut, Diag Treatment & Care Decis, Tampa, FL USA
[12] US Dept HHS, Ctr Qual Improvement & Patient Safety, Agcy Healthcare Res & Qual, Washington, DC 20201 USA
[13] Agcy Healthcare Res & Qual, Qual Improvement & Patient Safety, Human Serv, Washington, DC USA
[14] US FDA, Off Clin Pharmacol, Ctr Drug Evaluat & Res, Silver Spring, MD USA
[15] Canc Treatment Ctr Amer, Eastern Reg Med Ctr, New Patient Intake, Philadelphia, PA USA
[16] Harvard Univ, Sch Med, Boston, MA USA
[17] Univ Massachusetts, Lowell, MA USA
[18] US Dept HHS, Off Natl Coordinator Hlth Informat Technol, Washington, DC 20201 USA
[19] Univ Arizona, Coll Pharm, Ctr Hlth Outcomes & PharmacoEcon Res, Tucson, AZ 85721 USA
[20] Univ Arizona, Coll Pharm, Dept Pharm Practice & Sci, Tucson, AZ 85721 USA
基金
美国医疗保健研究与质量局;
关键词
REDUCE ALERT FATIGUE; SAFETY ALERTS; ORDER; MANAGEMENT; SOFTWARE; SYSTEMS; PERFORMANCE; ACCEPTANCE; PHYSICIANS; COMMUNITY;
D O I
10.2146/ajhp150565
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Purpose. Recommendations for including drug-drug interactions (DDIs) in clinical decision support (CDS) are presented. Summary. A conference series was conducted to improve CDS for DDIs. A work group consisting of 20 experts in pharmacology, drug information, and CDS from academia, government agencies, health information vendors, and healthcare organizations was convened to address (1) the process to use for developing and maintaining a standard set of DDIs, (2) the information that should be included in a knowledge base of standard DDIs, (3) whether a list of contraindicated drug pairs can or should be established, and (4) how to more intelligently filter DDI alerts. We recommend a transparent, systematic, and evidence-driven process with graded recommendations by a consensus panel of experts and oversight by a national organization. We outline key DDI information needed to help guide clinician decision-making. We recommend judicious classification of DDIs as contraindicated and more research to identify methods to safely reduce repetitive and less-relevant alerts. Conclusion: An expert panel with a centralized organizer or convener should be established to develop and maintain a standard set of DDIs for CDS in the United States. The process should be evidence driven, transparent, and systematic, with feedback from multiple stakeholders for continuous improvement. The scope of the expert panel's work should be carefully managed to ensure that the process is sustainable. Support for research to improve DDI alerting in the future is also needed. Adoption of these steps may lead to consistent and clinically relevant content for interruptive DDIs, thus reducing alert fatigue and improving patient safety.
引用
收藏
页码:576 / 585
页数:10
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