Evidence map›Paper›PMID 38443625›Full record

Observational studyDrug safety2024

Risk Factors Associated with Medication Administration Errors in Children: A Prospective Direct Observational Study of Paediatric Inpatients.

Johanna I Westbrook, Ling Li, Amanda Woods, Tim Badgery-Parker, Virginia Mumford, Alison Merchant, Erin Fitzpatrick, Magdalena Z Raban

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Drug safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Observational
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Preventing Medication Errors in Paediatrics: A Narrative Review.Clinical medicine insights. Pediatrics · 2026
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Observational
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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

8 authors at 1 institution in 1 country.

Johanna I WestbrookCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia. Johanna.westbrook@mq.edu.au.ORCID http://orcid.org/0000-0003-1083-8192
Ling LiCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0002-1642-142X
Amanda WoodsCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0002-7838-9808
Tim Badgery-ParkerCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0002-1275-1130
Virginia MumfordCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0001-7915-0615
Alison MerchantCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0002-8223-0090
Erin FitzpatrickCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.
Magdalena Z RabanCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Sydney, New South Wales, 2109, Australia.ORCID http://orcid.org/0000-0002-6995-2849
Macquarie University · AU

Funding

National Health and Medical Research Council NHMRC 1094878National Health and Medical Research Council NHMRC 1143941National Health and Medical Research Council NHMRC 1174021
6 · The paper itself

Abstract

introductionLimited evidence exists regarding medication administration errors (MAEs) on general paediatric wards or associated risk factors exists.

objectiveThe aim of this study was to identify nurse, medication, and work-environment factors associated with MAEs among paediatric inpatients.

methodsThis was a prospective, direct observational study of 298 nurses in a paediatric referral hospital in Sydney, Australia. Trained observers recorded details of 5137 doses prepared and administered to 1530 children between 07:00 h and 22:00 h on weekdays and weekends. Observation data were compared with medication charts to identify errors. Clinical errors, potential severity and actual harm were assessed. Nurse characteristics (e.g. age, sex, experience), medication type (route, high-risk medications, use of solvent/diluent), and work variables (e.g. time of administration, weekday/weekend, use of an electronic medication management system [eMM], presence of a parent/carer) were collected. Multivariable models assessed MAE risk factors for any error, errors by route, potentially serious errors, and errors involving high-risk medication or causing actual harm.

resultsErrors occurred in 37.0% (n = 1899; 95% confidence interval [CI] 35.7-38.3) of administrations, 25.8% (n = 489; 95% CI 23.8-27.9) of which were rated as potentially serious. Intravenous infusions and injections had high error rates (64.7% [n = 514], 95% CI 61.3-68.0; and 77.4% [n = 188], 95% CI 71.7-82.2, respectively). For intravenous injections, 59.7% (95% CI 53.4-65.6) had potentially serious errors. No nurse characteristics were associated with MAEs. Intravenous route, early morning and weekend administrations, patient age ≥ 11 years, oral medications requiring solvents/diluents and eMM use were all significant risk factors. MAEs causing actual harm were 45% lower using an eMM compared with paper charts.

conclusionMedication error prevention strategies should target intravenous administrations and not neglect older children in hospital. Attention to nurses' work environments, including improved design and integration of medication technologies, is warranted.

Indexed as

Medication ErrorsAdolescentAdultAustraliaChildChild, PreschoolFemaleHospitals, PediatricHumansInfantInpatientsMaleProspective StudiesRisk Factors

Identifiers

PMID38443625
PMCPMC11116173
OpenAlexW4392449755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.