Proactive Identification of False Alert for Drug-Drug Interaction

Authors: Hsuan-Chia Yang, Yan-Jhih Haung, Yu-Chuan Li

Abstract:

Researchers of drug-drug interaction alert systems have often suggested that there were high overridden rate for alerts and also too false alerts. However, research about decreasing false alerts is scant. Therefore, the aim of this article attempts to proactive identification of false alert for drug-drug interaction and provide solution to decrease false alerts. This research involved retrospective analysis prescribing database and calculated false alert rate by using MYSQL and JAVA. Results of this study showed 17% of false alerts and the false alert rate in the hospitals (37%) was more than in the clinics. To conclude, this study described the importance that drug-drug interaction alert system should not only detect drug name but also detect frequency or route, as well as in providing solution to decrease false alerts.

Keywords: drug-drug interaction, proactive identification, false alert

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328316

References:

[1] Drug Interaction Facts.(2009)
[2] Kuhlmann, J. and W. Muck, Clinical-pharmacological strategies to assess drug interaction potential during drug development. Drug safety, 2001. 24(10): p. 715-725.
[3] Jankel, C. and L. Fitterman, Epidemiology of drug-drug interactions as a cause of hospital admissions. Drug safety: an international journal of medical toxicology and drug experience, 1993. 9(1): p. 51.
[4] Lepori, V., A. Perren, and C. Marone, Adverse internal medicine drug effects at hospital admission. Schweizerische medizinische Wochenschrift, 1999. 129(24): p. 915.
[5] Pirmohamed, M., et al., Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. British Medical Journal, 2004. 329(7456): p. 15.
[6] Kaushal, R., K. Shojania, and D. Bates, Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Archives of internal medicine, 2003. 163(12): p. 1409.
[7] Grizzle, A., et al., Reasons provided by prescribers when overriding drug-drug interaction alerts. The American journal of managed care, 2007. 13(10): p. 573.
[8] Payne, T., et al. Characteristics and override rates of order checks in a practitioner order entry system. 2002: American Medical Informatics Association.
[9] Weingart, S., et al., Physicians' decisions to override computerized drug alerts in primary care. Archives of internal medicine, 2003. 163(21): p. 2625.
[10] van der Sijs, H., et al., Turning off frequently overridden drug alerts: limited opportunities for doing it safely. Journal of the American Medical Informatics Association, 2008. 15(4): p. 439-448.
[11] Buurma, H., P. De Smet, and A. Egberts, Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions. Drug safety, 2006. 29(8): p. 723-732.
[12] http://w3.nhri.org.tw/nhird//en/Background.html