Evidence map›Paper›PMID 34859334›Full record

ArticleIrish journal of medical science2022

Assessing the impact of a mixed intervention model on the reduction of medication administration errors in an Australian hospital.

Viviane Khalil, Antoinette Bates

Abstract read
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In one paragraph

Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Medication Errors Reporting and Analysis:Saudi medical journal · 2026
    Article
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

2 authors at 2 institutions in 1 country.

Viviane KhalilMonash University, Melbourne, Australia. Viviane_makeen@yahoo.com.au.ORCID http://orcid.org/0000-0003-1826-4381
Antoinette BatesPeninsula Health Pharmacy Department, Melbourne, Australia.
Monash Health · AUPeninsula Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication errors remain one of the most common types of incidents reported in Australian hospitals. Studies have reported that for every 10 medication administrations, a medication administration error is likely to occur and reach the patient, potentially contributing to a preventable patient harm.

objectiveTo assess the impact of a mixed intervention model on medication administration errors in an Australian hospital.

methodsTwo types of intervention model (human and system orientated) were implemented through collaboration with key stakeholders (nurses, educators, and policy makers) to reduce medication administration errors across this 650-bed multisite Australian hospital from August 2018 to June 2019. To assess the impact of the mixed intervention model, the total number of reported medication errors and the number of medication administration errors were retrieved from the hospital electronic medication management system for 12 months before (from June 2017 to July 2018) and after (from July 2019 to June 2020) implementation of all interventions.

resultsImplementation of a mixed intervention model through collaboration with stakeholders resulted in significant reduction in the number of medication administration errors, and those with harm (from 68 to 55%, P < 0.0001 and from 12 to 8%, P = 0.0001 respectively). Additionally, the severity of medication administration errors was also reduced (HR 0.562, 95% CI (0.298-1.062)) in the post-intervention phase.

conclusionIntroducing a mixed intervention model reduces medication administration errors across health settings and has the potential to drive excellence in healthcare.

Indexed as

Medication ErrorsMedication Systems, HospitalAustraliaHospitalsHumansResearch DesignInterventionsMedication administration errorsMedication errorsMixed modelReduction in harm

Identifiers

PMID34859334
OpenAlexW3217443515

What OpenQuestion holds

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Registered trials

None linked

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.