Risk factors associated with medication ordering errors

Author:

Abraham Joanna12ORCID,Galanter William L34,Touchette Daniel4,Xia Yinglin3,Holzer Katherine J1,Leung Vania3,Kannampallil Thomas12ORCID

Affiliation:

1. Department of Anesthesiology, Washington University School of Medicine in St. Louis,St. Louis, Missouri, USA

2. Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA

3. Department of Medicine, College of Medicine, University of Illinois at Chicago,Chicago, Illinois, USA

4. Department of Pharmacy Systems, Outcome and Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA

Abstract

Abstract Objective We utilized a computerized order entry system–integrated function referred to as “void” to identify erroneous orders (ie, a “void” order). Using voided orders, we aimed to (1) identify the nature and characteristics of medication ordering errors, (2) investigate the risk factors associated with medication ordering errors, and (3) explore potential strategies to mitigate these risk factors. Materials and Methods We collected data on voided orders using clinician interviews and surveys within 24 hours of the voided order and using chart reviews. Interviews were informed by the human factors–based SEIPS (Systems Engineering Initiative for Patient Safety) model to characterize the work systems–based risk factors contributing to ordering errors; chart reviews were used to establish whether a voided order was a true medication ordering error and ascertain its impact on patient safety. Results During the 16-month study period (August 25, 2017, to December 31, 2018), 1074 medication orders were voided; 842 voided orders were true medication errors (positive predictive value = 78.3 ± 1.2%). A total of 22% (n = 190) of the medication ordering errors reached the patient, with at least a single administration, without causing patient harm. Interviews were conducted on 355 voided orders (33% response). Errors were not uniquely associated with a single risk factor, but the causal contributors of medication ordering errors were multifactorial, arising from a combination of technological-, cognitive-, environmental-, social-, and organizational-level factors. Conclusions The void function offers a practical, standardized method to create a rich database of medication ordering errors. We highlight implications for utilizing the void function for future research, practice and learning opportunities.

Funder

Agency for Healthcare Research and Quality

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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