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Potential causes of medication errors: perceptions of Serbian nurses.
- Source :
- International Nursing Review; Sep2017, Vol. 64 Issue 3, p421-427, 7p
- Publication Year :
- 2017
-
Abstract
- Aim The aim of this study was to identify the most common contributing factors to medication errors in everyday practice of Serbian nurses. Background Nurses have the key role in medication, and it is very important that they understand why errors occur. Methods This research study was a cross-sectional study in five healthcare institutions. The sample was 965 nurses. A specially designed questionnaire was used as the research instrument. Results The most dominant contributing factor of medication errors was insufficient number of nurses. Interestingly other dominant factors given in literature were not recognized in this research study. Discussion The study results confirm that the recommendations we find in literature cannot be simply copied and implemented into the existing system, but can be used as a starting point for further research. Limitation The obtained data were compared with the studies of the countries with different healthcare systems and different educational structures of nurses. Conclusion The results of the study imply that healthcare institutions have to take the initiative and the responsibility for teaching safe medication use during formal education, as well as in clearly planned programmes of continuous education for nurses. Implications for nursing To reduce errors to the least possible level, it is important that nurses clearly define what an error is and recognize the causes and the importance of reporting and analysing them. Implications for health policy Systemic practices are required in the health system in Serbia and the culture of patients' safety accepted as the common goal and imperative of everyday practice. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of variance
WORKING hours
MEDICATION errors
NURSES
NURSES' attitudes
NURSE supply & demand
NURSING practice
PATIENT safety
SENSORY perception
QUESTIONNAIRES
SCALE analysis (Psychology)
STATISTICS
SURVEYS
DATA analysis
CROSS-sectional method
DATA analysis software
MANN Whitney U Test
KRUSKAL-Wallis Test
Subjects
Details
- Language :
- English
- ISSN :
- 00208132
- Volume :
- 64
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- International Nursing Review
- Publication Type :
- Academic Journal
- Accession number :
- 124834321
- Full Text :
- https://doi.org/10.1111/inr.12355