Evidence map›Paper›PMID 31526711›Full record

ArticleJoint Commission journal on quality and patient safety2019

Automating Vancomycin Monitoring to Improve Patient Safety.

Vimal Mishra, Melissa Chouinard, Jessica Keiser, Bradley Wagner, Miao-Shan Yen, Colin Banas, Alan Dow

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Article in Joint Commission journal on quality and patient safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Vimal Mishra
Melissa Chouinard
Jessica Keiser
Bradley Wagner
Miao-Shan Yen
Colin Banas
Alan Dow

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntravenous vancomycin is a frequently used antibiotic and a common cause of medication-related harm because of its narrow therapeutic range. Improving monitoring of drug levels with automation in the electronic health record (EHR) may decrease this harm.

methodsAfter examining the existing state of vancomycin ordering, administration, and monitoring, an automated process was created in the EHR that, on initiation of a new vancomycin order, automatically ordered a vancomycin trough level 30 minutes before the fourth dose. In addition, a nursing alert was integrated into the bar coding medication administration process that, if no trough level had been drawn by the time of the administration of the fourth dose, prompted the nurse to draw a trough level. Data from a three-month, post-implementation period was compared to data from a preceding three-month period.

resultsThe frequency of trough levels drawn between the third and fourth dose increased from 58.6% to 75.8% (p < 0.01). However, the percentage of trough levels drawn within one hour of the fourth dose remained unchanged, possibly because nursing staff waited for the result of the level prior to administering the next dose of vancomycin. A minority of patients in both groups had trough levels that were in range (difference between groups, p = 0.46).

conclusionAutomation of vancomycin monitoring was associated with improvement in the frequency of monitoring and only delayed medication dosing by six minutes. Because vancomycin is high risk, this type of process should be broadly implemented, and outcomes should be assessed to identify unexpected outcomes and necessary further refinements.

Indexed as

Quality ImprovementAnti-Bacterial AgentsDrug MonitoringElectronic Health RecordsHumansMid-Atlantic RegionPatient SafetyRetrospective StudiesVancomycinAnti-Bacterial AgentsVancomycin

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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.