Relationship between Absenteeism Rate and Job Satisfaction among ICU Nurses in Selected Hospitals

Abstract
Background: Absenteeism and job satisfaction in nursing are attitudes reflecting on productivity, quality of patient care, and the personal life of nursing staff. Some research has found no correlation between these two variables whereas other studies indicate a weak to moderate relationship between these two variables.
Aim of Study: To investigate the relationship between absenteeism rate and job satisfaction among ICU nurses in selected hospitals.
Subjects and Methods: A descriptive correlational design was utilized for this study to achieve the stated aim. The study was conducted at New Kaser El-Aini Teaching Hospital and El-Manial University Hospital. A samples of 307 nurses were invited to participate in the questionnaire. For the purpose of this study, questionnaire for nurses was adopted and utilized that consist of three parts: The first part was related to the nurse personal characteristics, the second part assess the nurses perception related to job satisfaction, the third part was related to nurses absenteeism rate from nurses attendance records and results of the current study indicated that the majority of the study sample had low satisfaction level. Moreover the study revealed that nurses' working at ICU at El-Manial University Hospital had low absenteeism rate while absenteeism rate among staff nurses working in ICU at New Kasr El-Ani Teaching Hospital had low absenteeism rate.
Conclusion: The study concluded that there was no sta-tistical significant relation was found between total job satis-faction and staff nurses' absenteeism rate. Based on the study results, it was recommended that administrative authority should pay attention to salary of nurses to enhance their satisfaction, managers should develop system for communi-cation with their staff to enhance communication. Similar study should be conducted in all department at New Kasr El-Ani Teaching Hospital and El-Manial University Hospital to identify their absenteeism rate on a large sample to compare and generalize the result.