SynthesisBMC health services research2019
Prevalence of medical errors in Iran: a systematic review and meta-analysis.
Synthesis in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.
- Pooled it
- A Systematic Review and Meta-Analysis of Stature Growth Complications in β-thalassemia Major Patients.Annals of global health · 2021Pooled it
- Newly Graduated Nurses' Professional Competency and Caring Perception: A Cross-Sectional Correlational Study.Nursing open · 2026Article
- Is professionalism associated with patient safety attitudes? Insights from a cross-sectional study among medical residents.BMC medical education · 2026Article
- A Fully Expert Human-Based Retrieval Augmented Generation (FEH-RAG) Framework: A Proof of Concept Study in Labelling Patients with Sjögren Syndrome.Medical journal of the Islamic Republic of Iran · 2026Article
- Article
- Evaluation of Paediatric Nursing Students' Medication Calculation Competence: An Observational Study Using a Gamified Contest.Nursing open · 2025Observational
- Relationship between Medication Safety Competence and Perception of Medication Administration Errors among Clinical Nurses: A Cross-sectional Study.Journal of caring sciences · 2025Review
- Article
- Nursing Errors in Iranian Nurses: A Mixed Study.Health science reports · 2025Article
- Effectiveness of Multimedia Electronic Training on the Nurses' Adherence to Patient Safety Principles: A Randomized Controlled Trial.Health science reports · 2025Article
- The effect of internet addiction on surgical nurses' malpractice tendencies: Turkish sample.BMC psychology · 2025Article
- Assessing self-perceptions related to safe medication management among nursing students: an analytical cross-sectional study in Iran.BMC nursing · 2025Article
- Medication administration errors and predictive role of resilience and emotional exhaustion in a sample of Iranian nurses.BMC nursing · 2025Article
- Investigating the status of the second victims of error and related factors in nurses: a description study.BMC nursing · 2025Article
- Internship nursing students and faculty perception of medication errors: A descriptive qualitative study.Journal of education and health promotion · 2025Article
- Medication Reconciliation of Patients by Pharmacist at the Time of Admission and Discharge from Adult Nephrology Wards.Pharmacy (Basel, Switzerland) · 2024Article
- Attitudes towards patient safety among physicians and nurses in Iranian governmental teaching hospitals: a cross-sectional survey.BMJ open · 2024Article
- Unveiling the factors influencing public knowledge and behaviours towards medication errors in Jordan: a cross-sectional study.BMC health services research · 2024Observational
- Nurses' experiences of reporting the medical errors of their colleagues: a qualitative study.BMC nursing · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMedical errors are considered as a major threat to patient safety. To clarify medical errors' status in Iran, a review was conducted to estimate the accurate prevalence of medical errors.
methodsA comprehensive search was conducted in international databases (MEDLINE, Scopus and the Web of Science), national databases (SID, Magiran, and Barakat) and Google Scholar search engine. The search was performed without time limitation up to January 2017 using the MeSH terms of Medical "error(s)" and "Iran" in Endnote X5. Article in English and Persian which estimated the prevalence of medical errors in Iran were eligible to be included in this review. The JBI appraisal instrument was used to assess the quality of included studies, by two independent reviewers. The prevalence of medical errors was calculating using random effect model. Stata software was used for data analysis.
resultsIn 40 included studies, the most frequent occupational group observed were nursing staff and nursing students (21 studies; 52% of studies). The most reported type of error was medication error (25 studies; 62% of studies, with prevalence ranged from 10 to 80%). University or teaching hospitals (30 studies; 75% of studies) as well as, internal/intensive care wards (10 studies; 25% of studies) were the most frequent hospitals and wards detected. Based on the result of the random effect model, the overall estimated prevalence of medical errors was 50% (95% confidence interval: 0.426, 0.574).
conclusionResult of the comprehensive literature review of the current studies, found a wide variation in the prevalence of medical errors based on the occupational group, type of error, and health care setting. In this regards, providing enough education to nurses, improvement of patient safety culture and quality of services and attention to special wards, especially in teaching hospitals are suggested.
Indexed as
Identifiers
What 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.