Evidence map›Paper›PMID 42175692›Full record

Observational studyBioMed research international2026

Clinical Factors Associated With Patterns of Medication Errors Among Pediatric Hospitalized Patients in Northwest Ethiopia: A Multicenter Prospective Observational Study.

Tilaye Arega Moges, Fisseha Nigussie Dagnew, Getachew Yitayew Tarekegn, Samuel Agegnew Wondm, Woretaw Sisay Zewdu, Sisay Sitotaw Anberbr, Habtamu Nigussie, Samuel Berihun Dagnew

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BioMed research international, 2026. 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
–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

1 citing paper in PubMed.

  1. Observational
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.

Tilaye Arega MogesDepartment of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.ORCID https://orcid.org/0000-0001-6813-8792
Fisseha Nigussie DagnewDepartment of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.
Getachew Yitayew TarekegnDepartment of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.
Samuel Agegnew WondmDepartment of Pharmacy, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia, dmu.edu.et.ORCID https://orcid.org/0000-0002-0723-6804
Woretaw Sisay ZewduDepartment of Pharmacology and Toxicology, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.ORCID https://orcid.org/0000-0003-2616-4014
Sisay Sitotaw AnberbrDepartment of Pharmacy, College of Medicine and Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia, dbu.edu.et.ORCID https://orcid.org/0009-0006-2945-0306
Habtamu NigussieDepartment of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.
Samuel Berihun DagnewDepartment of Clinical Pharmacy, Pharmacy Education and Clinical Services Directorate, Debre Tabor University, Debre Tabor, Ethiopia, dtu.edu.et.ORCID https://orcid.org/0000-0002-8938-4551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication safety is an important public health challenge, especially in pediatrics. Medication errors (MEs) are often underreported in pediatrics and can lead to adverse outcomes such as frequent readmissions, increased total healthcare costs, prolonged hospitalization, and related morbidity and mortality. Thus, this study is aimed at assessing the magnitude and determinants of MEs among pediatric hospitalized patients at comprehensive specialized hospitals in Northwest Ethiopia.

methodsA multicenter prospective observational study involving pediatric hospitalized patients was conducted over 4 months, utilizing systematic random sampling for participant selection. Three clinical pharmacists, after a day of training, collected data under the supervision of an MSc health professional, with support from pediatricians in each hospital for reviewing MEs and adjusting treatment plans. Pediatric patients were followed prospectively during their hospital stay from admission to discharge. Data collection occurred via the Kobo Toolbox platform and was analyzed with STATA Version 17.0. Both bivariate and multivariable logistic regression analyses identified factors related to MEs, with statistical significance set at a p value < 0.05.

resultsAmong 358 pediatric hospitalized patients, 53.63% experienced at least one ME, totaling 254 identified errors. The prescribing stage accounted for the highest percentage of errors (40.16%), followed by the administration stage (32.68%). The predominant types of MEs were dose errors (30.31%), frequency errors (14.96%), and omission errors (14.17%). Multivariable logistic regression analysis revealed that polypharmacy (≥ 5 medications) (AOR = 2.005, 95% CI: 1.269-3.168), male sex (AOR = 1.707, 95% CI: 1.097-2.656), and prolonged hospital stay (AOR = 1.673, 95% CI: 1.076-2.602) were significantly associated with the occurrence of MEs.

conclusionThis study found that MEs were prevalent in pediatric hospitalized patients. Polypharmacy, male patients, and the length of hospital stay were independent predictors of MEs. To reduce MEs, computer-based prescribing practice and clinical pharmacy services should be routine practices in the study settings.

Indexed as

HospitalizationMedication ErrorsAdolescentChildChild, PreschoolEthiopiaFemaleHumansInfantMaleProspective StudiesEthiopiamedication errorsmedication safetypediatric inpatientspolypharmacy

Identifiers

PMID42175692
PMCPMC13197799

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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.