ArticlePloS one2022
A comprehensive method for the quantification of medication error probability based on fuzzy SLIM.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Global Prevalence and Associated Factors of Medication Errors in Hospitalized Pediatric Patients: Systematic Review and Meta-Analysis.JMIR pediatrics and parenting · 2026Review
- Evaluating Ketamine Dosing Practices During Emergency Department Intubation Using Shock Index Stratification.Cureus · 2026Article
- [Drug safety: advances and challenges on the path to excellence at Brazilian hospitals].Cadernos de saude publica · 2026Article
- Safety-specific transformational leadership and safety outcomes at workplaces: a scoping review study.BMC public health · 2025Article
- Enhancing hospital safety: The impact of resilience on safety climate, safety performance, and occupational accidents.PloS one · 2025Article
- Moderating effect of social support in the relationship between perceived work overload and patient safety behaviours among nursing interns in Nigeria.Frontiers in health services · 2025Article
- Article
- Failure mode and Effect Analysis of personal fall arrest system under the intuitionistic fuzzy environment.Heliyon · 2023Article
- Use of complete medication history to identify and correct transitions-of-care medication errors at psychiatric hospital admission.PloS one · 2023Article
- Occurrence and types of medication error and its associated factors in a reference teaching hospital in northeastern Iran: a retrospective study of medical records.BMC health services research · 2022Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medication errors can endanger the health and safety of patients and need to be managed appropriately. This study aimed at developing a new and comprehensive method for estimating the probability of medication errors in hospitals. An extensive literature review was conducted to identify factors affecting medication errors. Success Likelihood Index Methodology was employed for calculating the probability of medication errors. For weighting and rating of factors, the Fuzzy multiple attributive group decision making methodology and Fuzzy analytical hierarchical process were used, respectively. A case study in an emergency department was conducted using the framework. A total number of 17 factors affecting medication error were identified. Workload, patient safety climate, and fatigue were the most important ones. The case study showed that subtasks requiring nurses to read the handwritten of other nurses and physicians are more prone to human error. As there is no specific method for assessing the risk of medication errors, the framework developed in this study can be very useful in this regard. The developed technique was very easy to administer.
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