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Correlation between medication errors with job satisfaction and fatigue of nurses
Shahnaz Bolandianbafghi1, Tahere Salimi2, Maryam Rassouli3
1M.Sc., Department of Nursing, Yazd Branch, Islamic Azad University, Yazd, Iran.
Electronic Physician
|October 6, 2017
Summary
This study found no significant link between nurse job satisfaction or fatigue and medication errors. However, older nurses reported more frequent medication errors, suggesting age may be a factor.
Area of Science:
- Nursing
- Patient Safety
- Healthcare Management
Background:
- Medication errors are a significant concern in healthcare, potentially leading to adverse patient outcomes.
- Previous research suggests a possible link between nursing job satisfaction, fatigue, and medication errors.
- Understanding these correlations is crucial for improving medication safety protocols.
Purpose of the Study:
- To investigate the relationship between the quantity and types of medication errors and nurses' job satisfaction and fatigue.
- To assess these correlations among nurses at Shahid Sadoughi Hospital in Yazd, Iran.
Main Methods:
- A descriptive, cross-sectional, correlational study was conducted with 170 nurses.
- Data were collected using questionnaires on demographic characteristics, medication administration errors, job satisfaction, and fatigue.
- Statistical analysis included Pearson correlation coefficient and Independent-samples t-test.
Main Results:
- No statistically significant relationship was found between job satisfaction or fatigue and medication errors.
- A significant association was observed between the age of nurses and the frequency of medication errors (p=0.037).
- Other demographic characteristics did not show a significant correlation with medication errors (p>0.05).
Conclusions:
- Despite the lack of a significant statistical relationship, the influence of job satisfaction and fatigue on medication errors should not be dismissed.
- Further research is recommended to explore these complex relationships in nursing practice.
- Age appears to be a relevant demographic factor associated with medication error frequency.
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