ArticleBMJ open2022
Medication administration errors and associated factors among nurses in Addis Ababa federal hospitals, Ethiopia: a hospital-based cross-sectional study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Associations Between Interruptions and Medication Administration Errors Among Nurses in Hospital Settings: A Scoping Review of Quantitative Studies.Journal of advanced nursing · 2026Article
- Opioid Room of Horrors: a simulation approach to strengthen drug administration safety.BMJ open quality · 2025Article
- Prevalence of medication administration errors and its determinants among nurses in Ethiopia: a systematic review and meta-analysis.BMC nursing · 2025Article
- Medication administration errors and predictive role of resilience and emotional exhaustion in a sample of Iranian nurses.BMC nursing · 2025Article
- Disproportionality Analysis and Characterisation of Medication Errors in EudraVigilance: Exploring Findings on Sexes and Age Groups.Drug safety · 2025Article
- Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia.European journal of medical research · 2024Article
- Critical Care Nurses' Perception of Medication Administration Errors in Kelantan, Malaysia: A Cross-Sectional Study.Journal of nursing management · 2024Article
- Investigation of Nurses' Wellbeing towards Errors in Clinical Practice-The Role of Resilience.Medicina (Kaunas, Lithuania) · 2023Article
- Evaluation of medication errors in nursing during the COVID-19 pandemic and their relationship with shift work at teaching hospitals: a cross-sectional study in Iran.Frontiers in medicine · 2023Article
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Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study was conducted to assess the magnitude and contributing factors of medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia.
designA hospital-based cross-sectional study design was employed. Data on medication administration and associated factors were collected using a structured self-administered questionnaire. Multivariable binary logistic regression analysis was done to identify factors associated with medication administration errors on the basis of adjusted OR with 95% CI and a p value less than 0.05.
settingThis study was conducted in federal hospitals in Addis Ababa, Ethiopia.
participantsFour hundred and twenty-three randomly selected nurses participated. OUTCOME MEASURES: The primary outcome variable is medication administration error, which was ascertained using the following errors: wrong medication, wrong dose, wrong time, wrong route, wrong patient, wrong drug preparation, wrong advice, wrong assessment and wrong documentations.
resultsA total of 59.9% (95% CI: 55.0% to 64.8%) of the nurses in the federal hospitals in Addis Ababa committed one or more medication administration errors in the last 12 months prior to the survey. The most commonly reported medication errors were wrong time (56.8%), wrong documentation (33.3%), wrong advice (27.8%) and wrong dose (20.1%). Medication administration errors among nurses were significantly associated with short work experience (adjusted OR (AOR): 6.48, 95% CI: 1.32 to 31.78), night shift work (AOR: 5.0, 95% CI: 1.82 to 13.78), absence of on-the-job training (AOR: 3.16, 95% CI: 1.67 to 6.00), unavailability of medication administration guidelines in wards (AOR: 2.07, 95% CI: 1.06 to 4.06) and interruptions during medication administration (AOR: 2.42, 95% CI: 1.30 to 4.49).
conclusionIt was found that a high proportion of nurses in federal hospitals committed medication administration errors. Short work experience, night shift work, absence of on-the-job training, unavailability of medication administration guidelines and interruptions during medication administration explained the high magnitude of medication administration errors.
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