Evidence map›Paper›PMID 29354550›Full record

ArticleIntegrated pharmacy research & practice2017

Prevalence of intravenous medication administration errors: a cross-sectional study.

Tezeta Fekadu, Mebrahtu Teweldemedhin, Eyerusalem Esrael, Solomon Weldegebreal Asgedom

Abstract read
In one paragraph

Article in Integrated pharmacy research & practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Medication Administration Errors and Associated Factors Among Nurses.International journal of general medicine · 2020
    Article
  8. Pharmacists in Critical Care.Innovations in pharmacy · 2019
    Article
  9. Article
  10. 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

4 authors.

Tezeta FekaduSchool of Pharmacy, Department of Clinical Pharmacy, College of Health Sciences, Mekelle University, Mekelle.
Mebrahtu TeweldemedhinUnit of Biomedical Science, School of Medicine, College of Health Sciences and Referral Hospital, Aksum University, Aksum, Ethiopia.
Eyerusalem EsraelSchool of Pharmacy, Department of Clinical Pharmacy, College of Health Sciences, Mekelle University, Mekelle.
Solomon Weldegebreal AsgedomSchool of Pharmacy, Department of Clinical Pharmacy, College of Health Sciences, Mekelle University, Mekelle.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntravenous medication administration errors (MAEs) may be accompanied by avoidable undesirable effects, which might result in clinical complications.

objectiveThe aim of the study was to determine the prevalence of MAEs and to identify the factors associated with such errors.

methodsA hospital-based cross-sectional study was conducted from March to April 2015. Data were collected by direct observation using a pretested data collection tool. Simple random sampling was used, and bivariate logistic regression model was used to identify the factors associated with MAEs.

resultsA total of 134 patients were found to be eligible for the study. More than half of the study participants were males (76 [56.7%]). The rate of MAE was 46.1%, with the missed dose (n=162, 95.8%) being reported as the most common error. The age groups of 60-79 years (adjusted odds ratio = 2.166, confidence interval = 1.532-8.799) and 80-101 years (adjusted odds ratio = 1.52, confidence interval = 1.198-5.584) were the determinants of MAEs.

conclusionA high prevalence of MAEs was found. Enhancing the knowledge and practical skills of clinical nurses might minimize such errors.

Indexed as

administrationerrormedicationprevalence

Identifiers

PMID29354550
PMCPMC5774322

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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.