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العنوان
Predictors for staff nurses’ turnover in private and main mansoura university hospital /
المؤلف
Shabana, Maysa Fekry Ahmed.
هيئة الاعداد
باحث / Maysa Fekry Ahmed Shabana
مشرف / Neamat Mohamed El-Sayed
مشرف / Wafaa Fathi Sleem
باحث / Maysa Fekry Ahmed Shabana
الموضوع
Turnover Predictors.
تاريخ النشر
2010.
عدد الصفحات
99 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
التمريض
تاريخ الإجازة
1/1/2010
مكان الإجازة
جامعة المنصورة - كلية التمريض - Department of Nursing Administration
الفهرس
Only 14 pages are availabe for public view

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from 150

Abstract

Turnover is a challenging issue that represents a major problem for nursing and health care in terms of costs, the ability to care for patients, and the quality of care given. So, this study aimed to identify the predictors for staff nurses’ turnover in private and in Main University Hospitals. A descriptive design used in the present study. The study carried out in four private hospitals, (El- Kheir Hospital, El-Delta, El- Hekma Hospital, and finally El- Zeraaien), and Main Mansoura University Hospital. The sample included 260 staff nurses (114 from private hospitals, and 146 from Main Mansoura University Hospital). Data collected through using Turnover Sheet that included two parts, the first part contains sociodemographic characteristics, and the second part was predictors of turnover. This study showed that there was a statistical significant difference among overall predictors for staff nurses’ turnover. Supervision was the first predictor for turnover in private and in Main Mansoura University Hospitals, while, advancement was the last predictor for turnover in private hospitals, and pay was the last predictor for turnover in Main University Hospital. It is recommended that nurse mangers have to introduce motivational ideas in their job design and allows staff nurses to participate in decision-making, increasing tangible and intangible rewards as providing better pay and benefits, creating a friendly and supportive working atmosphere.