Evidence map›Paper›PMID 35351096›Full record

ArticleBMC medical informatics and decision making2022

The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study.

Clare L Tolley, Neil W Watson, Andrew Heed, Jochen Einbeck, Suzanne Medows, Linda Wood, Layla Campbell, Sarah P Slight

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Closed-Loop Medication Management with an Electronic Health Record System in U.S. and Finnish Hospitals.International journal of environmental research and public health · 2023
    Review
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

8 authors at 3 institutions in 2 countries.

Clare L TolleySchool of Pharmacy, Newcastle University, Newcastle Upon Tyne, UK. Clare.brown@newcastle.ac.uk.
Neil W WatsonThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Andrew HeedThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Jochen EinbeckDepartment of Mathematical Sciences, Durham University, Durham, UK.
Suzanne MedowsThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Linda WoodThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Layla CampbellThe Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Sarah P SlightSchool of Pharmacy, Newcastle University, Newcastle Upon Tyne, UK.
Newcastle upon Tyne Hospitals NHS Foundation Trust · GBNewcastle University · GBDurham University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe medication administration process is complex and consequently prone to errors. Closed Loop Medication Administration solutions aim to improve patient safety. We assessed the impact of a novel medication scanning device (MedEye) on the rate of medication administration errors in a large UK Hospital.

methodsWe performed a feasibility before and after study on one ward at a tertiary-care teaching hospital that used a commercial electronic prescribing and medication administration system. We conducted direct observations of nursing drug administration rounds before and after the MedEye implementation. We calculated the rate and type ('timing', 'omission' or 'other' error) of medication administration errors (MAEs) before and after the MedEye implementation.

resultsWe observed a total of 1069 administrations before and 432 after the MedEye intervention was implemented. Data suggested that MedEye could support a reduction in MAEs. After adjusting for heterogeneity, we detected a decreasing effect of MedEye on overall errors (p = 0.0753). Non-timing errors ('omission' and 'other' errors) reduced from 51 (4.77%) to 11 (2.55%), a reduction of 46.5%, which had borderline significance at the 5% level, although this was lost after adjusting for confounders.

conclusionsThis pilot study detected a decreasing effect of MedEye on overall errors and a reduction in non-timing error rates that was clinically important as such errors are more likely to be associated with harm. Further research is needed to investigate the impact on a larger sample of medications.

Indexed as

HospitalsMedication ErrorsFeasibility StudiesHumansPharmaceutical PreparationsPilot ProjectsPharmaceutical PreparationsHealth care systemsMedication administrationMedication errorsPatient safety

Identifiers

PMID35351096
PMCPMC8962937
OpenAlexW4220871642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.