Samira Alirezaei
Ministry of Health and Medical Education, Iran
Posters & Accepted Abstracts: J Neurol Disord
Introduction & Objective: Nurses are the biggest professional workforce at a hospital and they have become a key factor
in improving productivity and competitiveness of hospitals. In healthcare industry, the attrition rate of nurses has been the
highest among all employee categories. The objective of this study is to estimate the rate of nurses’ loss in Iran and to provide
a model for representing the types of nursing outflows and the probability of occurrence of each of these currents in nurses
according to the desired conditions and characteristics.
Method: Data mining was used for research purposes. In order to assess the status of nurses in Iran, the Nursing graduates
were used by the Ministry of Health for the last five years. Sampling from this bank was done using Cochran's formula of
500 students randomly. It should be noted that at this stage, the research sample was examined for persistence in nursing or
abandoned work also, from the sample. The amount of inclination to quit was questioned. Finally, using Clementine software
analysis and modeling was done.
Results: The findings of this study showed that most of the nurses were female (63.6%), married (63.1%), undergraduate
education (56.6%). Of the 500 nurses, 352 nurses left their job and 148 nurses were engaged in their work. Immigration of
nurses (33.1%) had the highest outflow rate among Iranian nurses and after that; the change of field with the frequency of 15%
was the highest nurses’ abandonment rate.
Conclusion: Interventions to enhance participation in hospital affairs, adequacy of staffing and resources and enabling and
supporting behaviors and creating opportunities for growth and professional development could be beneficial for a stable
nursing workforce. It is essential at to promote nurses’ motivation for work, such as the law on productivity promotion and the
law on tariffs for nursing services.
E-mail: s.alirezaei.6856@gmail.com
Neurological Disorders received 1343 citations as per Google Scholar report