A novel design for drug-drug interaction alerts improves prescribing efficiency

Joint Commission Journal on Quality and Patient Safety

Volumn 41, Issue 9, 2015, Pages 396-405

  Russ, Alissa L ^a,b,c   Chen, Siying ^d   Melton, Brittany L ^e   Johnson, Elizabette G ^d   Spina, Jeffrey R ^f,g   Weiner, Michael ^b,d,h,i   Zillich, Alan J ^c  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b REGENSTRIEF INSTITUTE   (United States)

^c PURDUE UNIVERSITY   (United States)

^d RICHARD L ROUDEBUSH VETERANS AFFAIRS MEDICAL CENTER   (United States)

^e UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

^f VA GREATER LOS ANGELES HEALTHCARE SYSTEM   (United States)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h INDIANA UNIVERSITY   (United States)

ⁱ INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOENGINEERING; COMPUTER INTERFACE; CROSSOVER PROCEDURE; DRUG INTERACTION; ELECTRONIC MEDICAL RECORD; FEMALE; HUMAN; MALE; MEDICATION ERROR; PREVENTION AND CONTROL; PRODUCTIVITY; PUBLIC HOSPITAL; REMINDER SYSTEM; UNITED STATES; VIDEORECORDING;

CROSS-OVER STUDIES; DRUG INTERACTIONS; EFFICIENCY; ELECTRONIC HEALTH RECORDS; FEMALE; HOSPITALS, VETERANS; HUMAN ENGINEERING; HUMANS; INDIANA; MALE; MEDICATION ERRORS; REMINDER SYSTEMS; UNITED STATES; USER-COMPUTER INTERFACE; VIDEO RECORDING;

EID: 84946735622     PISSN: 15537250     EISSN: None     Source Type: Journal    
DOI: 10.1016/s1553-7250(15)41051-7     Document Type: Article

References (32)

1. Cheng F, Zhao Z. Machine learning-based prediction of drug-drug inter1. Cheng F, Zhao Z. Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties. J Am Med Inform Assoc. 2014;21(e2):e278-286.
2. Buck MD. Retrospective monitoring of drug-drug interactions using a CPOE alerting knowledgebase. AMIA Annu Symp Proc. 2007 Oct 11:80-84.
3. Hastings SN, et al. The quality of pharmacotherapy in older veterans discharged from the emergency department or urgent care clinic. J Am Geriatr Soc. 2007;55(9):1339-1348.
4. Chen YF, et al. Incidence and possible causes of prescribing potentially hazardous/contraindicated drug combinations in general practice. Drug Saf. 2005;28(1):67-80.
5. Grizzle AJ, et al. Reasons provided by prescribers when overriding drug-drug interaction alerts. Am J Manag Care. 2007;13(10):573-578.
6. Strandell J, et al. Drug-drug interactions - A preventable patient safety issue? Br J Clin Pharmacol. 2008;65(1):144-146.
7. Hakkarainen KM, et al. Percentage of patients with preventable adverse drug reactions and preventability of adverse drug reactions - A meta-analysis. PLoS One. 2012;7(3):e33236.
8. Horn JR, et al. Clinical decision support for drug-drug interactions: Improvement needed. Am J Health Syst Pharm. 2013 May 15;70(10):905-909.
9. Russ AL, et al. Prescribers' interactions with medication alerts at the point of prescribing: A multi-method, in situ investigation of the human-computer interaction. Int J Med Inform. 2012;81(4):232-243.
10. van der Sijs H, et al. Time-dependent drug-drug interaction alerts in care provider order entry: Software may inhibit medication error reductions. J Am Med Inform Assoc. 2009;16(6):864-868.
11. van der Sijs H, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138-147.
12. Seidling HM, et al. Factors influencing alert acceptance: A novel approach for predicting the success of clinical decision support. J Am Med Inform Assoc. 2011;18(4):479-484.
13. Zachariah M, et al. Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems - I-MeDeSA. J Am Med Inform Assoc. 2011;18 Suppl 1:i62-72.
14. Horsky J, et al. Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions. J Biomed Inform. 2012;45(6):1202-1216.
15. Russ AL, et al. A human factors investigation of medication alerts: Barriers to prescriber decision-making and clinical workflow. AMIA Annu Symp Proc. 2009 Nov 14;2009:548-552.
16. Duke JD, Li X, Dexter P. Adherence to drug-drug interaction alerts in high-risk patients: A trial of context-enhanced alerting. J Am Med Inform Assoc. 2013 May 1;20(3):494-498.
17. Schedlbauer A, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? J Am Med Inform Assoc. 2009;16(4):531-538.
18. Phansalkar S, et al. A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems. J Am Med Inform Assoc. 2010;17(5):493-501.
19. Horsky J, et al. Design of decision support interventions for medication prescribing. Int J Med Inform. 2013;82(6):492-503.
20. Russ AL, et al. Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation. J Am Med Inform Assoc. 2014;21(e2):e287-296.
21. Saleem JJ, et al. Impact of clinical reminder redesign on learnability, efficiency, usability, and workload for ambulatory clinic nurses. J Am Med Inform Assoc. 2007;14(5):632-640.
22. Jaspers MW. A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. Int J Med Inform. 2009;78(5):340-353.
23. Lewis JR. Usability testing. In Salvendy G, editor: Handbook of Human Factors and Ergonomics, 3rd ed. Hoboken, NJ: John Wiley & Sons, 2006, 1275-1316.
24. Miller AM, et al. Provider and pharmacist responses to warfarin drug-drug interaction alerts: a study of healthcare downstream of CPOE alerts. J Am Med Inform Assoc. 2011;18 Suppl 1:i45-50.
25. US Department of Health & Human Services. Usability.gov. Usability Evaluation Basics. Accessed Jul 28, 2015. http://www.usability.gov/what-and-why/usability-evaluation.html.
26. Hix D, Hartson HR. Developing User Interfaces: Ensuring Usability Through Product & Process. New York City: John Wiley & Sons, 1993.
27. Wogalter MS. Communication-human information processing (C-HIP) model. In Wogalter MS, editor: Handbook of Warnings. Mahwah, NJ: Lawrence Erlbaum Associates, 2006, 51-61.
28. Mackay FJ, Dunn NR, Mann RD. Antidepressants and the serotonin syndrome in general practice. Br J Gen Pract. 1999;49(448):871-874.
29. Glassman PA, et al. Improving recognition of drug interactions: Benefits and barriers to using automated drug alerts. Med Care. 2002;40(12):1161-1171.
30. Bauer DT, Guerlain S, Brown PJ. The design and evaluation of a graphical display for laboratory data. J Am Med Inform Assoc. 2010;17(4):416-424.
31. Thyvalikakath TP, et al. A usability evaluation of four commercial dental computer-based patient record systems. J Am Dent Assoc. 2008;139(12):1632-1642.
32. US Food and Drug Administration. Zocor (simvastatin): Label Change - New Restrictions, Contraindications, and Dose Limitations. Jun 8, 2011. (Updated: Dec 15, 2011.) Accessed Jul 28, 2015. http://www.fda.gov/Safety/MedWatch/SafetyInformation/SafetyAlertsforHumanMedicalProducts/ucm258384.htm.