SynthesisEuropean journal of clinical pharmacology2019
Medication errors in hospitals in the Middle East: a systematic review of prevalence, nature, severity and contributory factors.
Synthesis in European journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 6 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
34 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Healthcare workers' sustainable employability in relation to quality of care: an umbrella review.BMJ open · 2025Pooled it
- Medication errors in emergency departments: a systematic review and meta-analysis of prevalence and severity.International journal of clinical pharmacy · 2024Pooled it
- Medication Errors in Saudi Arabian Hospital Settings: A Systematic Review.Medicina (Kaunas, Lithuania) · 2024Pooled it
- Prevalence, contributing factors, and interventions to reduce medication errors in outpatient and ambulatory settings: a systematic review.International journal of clinical pharmacy · 2023Pooled it
- Prevalence, Causes and Severity of Medication Administration Errors in the Neonatal Intensive Care Unit: A Systematic Review and Meta-Analysis.Drug safety · 2022Pooled it
- Prevalence, contributory factors and severity of medication errors associated with direct-acting oral anticoagulants in adult patients: a systematic review and meta-analysis.European journal of clinical pharmacology · 2022Pooled it
- Factors contributing to medication safety incidents observed by community pharmacists - a content analysis of incident reports.Exploratory research in clinical and social pharmacy · 2026Article
- Patterns and Determinants of Medication Errors Across the Medication-Use Process:Saudi medical journal · 2026Observational
- Article
- Predicting clinically significant medication errors: Development and validation of a risk stratification model using incident reporting data.Frontiers in medicine · 2026Article
- Burnout, depression, and medication errors among family physicians.Scientific reports · 2025Article
- Epidemiology of Medication Errors in Indian Hospital Settings: A Systematic Literature Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- AI-Induced Cybersecurity Risks in Healthcare: A Narrative Review of Blockchain-Based Solutions Within a Clinical Risk Management Framework.Risk management and healthcare policy · 2025Review
- Barriers to medication administration error reporting in a tertiary hospital in Lebanon.BMJ open quality · 2024Article
- Development of an innovative clinical pharmacy service in a urology surgical unit: a new initiative from Qatar.Journal of pharmaceutical policy and practice · 2024Article
- Article
- Evaluation of nurses' knowledge and performance regarding preparation and injection of intravenous drugs in pediatric wards in Iran.BMC pediatrics · 2023Article
- Article
- Types, trends, and patterns of the reported antimicrobial errors to the eastern region's medical centers in Saudi Arabia: A cross-sectional study.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023Article
- Knowledge, Attitude, and Behaviour with Regard to Medication Errors in Intravenous Therapy: A Cross-Cultural Pilot Study.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim was to critically appraise, synthesise and present the evidence of medication errors amongst hospitalised patients in Middle Eastern countries, specifically prevalence, nature, severity and contributory factors.
methodsCINAHL, Embase, Medline, Pubmed and Science Direct were searched for studies published in English from 2000 to March 2018, with no exclusions. Study selection, quality assessment (using adapted STROBE checklists) and data extraction were conducted independently by two reviewers. A narrative approach to data synthesis was adopted; data related to error causation were synthesised according to Reason's Accident Causation model.
resultsSearching yielded 452 articles, which were reduced to 50 following removal of duplicates and screening of titles, abstracts and full-papers. Studies were largely from Iran, Saudi Arabia, Egypt and Jordan. Thirty-two studies quantified errors; definitions of 'medication error' were inconsistent as were approaches to data collection, severity assessment, outcome measures and analysis. Of 13 studies reporting medication errors per 'total number of medication orders'/ 'number of prescriptions', the median across all studies was 10% (IQR 2-35). Twenty-four studies reported contributory factors leading to errors. Synthesis according to Reason's model identified the most common being active failures, largely slips (10 studies); lapses (9) and mistakes (12); error-provoking conditions, particularly lack of knowledge (13) and insufficient staffing levels (13) and latent conditions, commonly heavy workload (9).
conclusionThere is a need to improve the quality and reporting of studies from Middle Eastern countries. A standardised approach to quantifying medication errors' prevalence, severity, outcomes and contributory factors is warranted.
Indexed as
Identifiers
31127338What OpenQuestion holds
Registered trials
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.