Evidence map›Paper›PMID 33221852›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Risk factors associated with medication ordering errors.

Joanna Abraham, William L Galanter, Daniel Touchette, Yinglin Xia, Katherine J Holzer, Vania Leung, Thomas Kannampallil

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Joanna AbrahamDepartment of Anesthesiology, Washington University School of Medicine in St. Louis,St. Louis, Missouri, USA.
William L GalanterDepartment of Medicine, College of Medicine, University of Illinois at Chicago,Chicago, Illinois, USA.
Daniel TouchetteDepartment of Pharmacy Systems, Outcome and Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, USA.
Yinglin XiaDepartment of Medicine, College of Medicine, University of Illinois at Chicago,Chicago, Illinois, USA.
Katherine J HolzerDepartment of Anesthesiology, Washington University School of Medicine in St. Louis,St. Louis, Missouri, USA.
Vania LeungDepartment of Medicine, College of Medicine, University of Illinois at Chicago,Chicago, Illinois, USA.
Thomas KannampallilDepartment of Anesthesiology, Washington University School of Medicine in St. Louis,St. Louis, Missouri, USA.

Funding

An Etiology for Medication Ordering Errors in CPOE SystemsR21HS025443 · AHRQ · WASHINGTON UNIVERSITY · PI ABRAHAM, JOANNA · 2017 to 2018
$291k
AHRQ HHS R21 HS025443
6 · The paper itself

Abstract

objectiveWe 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

methodsWe 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.

resultsDuring 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.

conclusionsThe 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.

Indexed as

Medical Order Entry SystemsAcademic Medical CentersCognitionDrug-Related Side Effects and Adverse ReactionsHumansMedical AuditMedication ErrorsMedication Systems, HospitalPatient SafetyRisk FactorsSurveys and QuestionnairesCPOEhuman factorsmedication ordering errorsmedication voidingSEIPS

Identifiers

PMID33221852
PMCPMC7810458

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.