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Evaluation of medication error rates in Saudi Arabia: A protocol for systematic review and meta-analysis
- Source :
- Medicine
- Publication Year :
- 2020
-
Abstract
- Introduction: Due to the diversity of reports and on the rates of medications errors (MEs) in Saudi Arabia, we performed the first meta-analysis to determine the rate of medications errors in Saudi Arabia using meta-analysis in the hospital settings. Methods: We conducted a systematic literature search through August 2019 using PubMed, EMBASE, CINAHL, PsycINFO, and Google Scholar to identify all observational studies conducted in hospital settings in Saudi Arabia that reported the rate of MEs. A random-effects models were used to calculate overall MEs, as well as prescribing, dispensing, and administration error rates. The I2 statistics were used to analyze heterogeneity. Results: Sixteen articles were included in this search. The total incidence of MEs in Saudi Arabia hospitals was estimated at 44.4%. Prescribing errors, dispensing errors, and adminstration errors incidents represent 40.2%, 28.2%, and 34.5% out of the total number of reported MEs, respectively. However, between-study heterogeneity was also generally found to be >90% (I-squared statistic). Conclusions: This study demonstrates the MEs common in health facilities. Additional efforts in the field are needed to improve medication management systems in order to prevent patient harm incidents.
- Subjects :
- medicine.medical_specialty
animal structures
education
MEDLINE
Saudi Arabia
prescribing error
CINAHL
PsycINFO
03 medical and health sciences
0302 clinical medicine
parasitic diseases
medicine
Humans
030212 general & internal medicine
Statistic
Protocol (science)
business.industry
Incidence (epidemiology)
Incidence
General Medicine
Hospitals
administration error
medication errors
030220 oncology & carcinogenesis
Meta-analysis
Emergency medicine
Observational study
dispensing error
business
geographic locations
Systematic Review and Meta-Analysis
Research Article
Subjects
Details
- ISSN :
- 15365964
- Volume :
- 100
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Medicine
- Accession number :
- edsair.doi.dedup.....f1a81e494d70bedee775dd81a603b352