Abstract:
Within a short history of Tribhuwan University Teaching Hospital (TUTH) the rate of absenteeism and turnover among the staff nurses was quite high which was reported 20 percent and 15 percent in 1990- 1991 respectively. As a result, the hospital loses time, money, energy and human resources. The ultimate adverse effect may be decrease in quality and quantity of the productivity in TUTH. This was one of the crucial problems in human resource management in TUTH. Therefore, the purpose of this study was to determinethe average level of overall perceived job satisfaction of the staff nurses working in TUTH, Nepal. The secondary concern of this study was to determine the strength of relationship of various factors with the total scores of overall perceived job satisfaction. Six aspects of job satisfaction relevant to Nepalese Nurses included were as advancement opportunity, recognition, supervision, interpersonal relation, working condition and salary. The information was collected from the staff nurses working in TUTH. Out of total 106 population 73 returned the questionnaire and only 70 completed data included for analysis. Descriptive statistical analysis was used and data summarized in frequency, percentage, SD and 95% confidence interval. The analysis was computed by employing DBASE III plus and Software SPSS\PC+ program. The result demonstrated that a majority of the staff nurses were not satisfied in their job. 91.4 percent of total respondents showed dissatisfaction and 8.5 percent showed satisfaction. The total mean 2.65 yielded in all six aspects of job satisfaction which was below midpoint. 3.00 was conceptually interpreted as midpoint between two extremes in Likert Scale of Five Point Scale. The most dissatisfying areas indentified by the staff nurses were limited chances for promotion and further education, lack of supervision, working condition and salary respectively. Multiple Logistic Regression Analysis did not exhibit any statistical relationship between the factors and job satisfaction. Included were factors as age, marital status, education, length of time, part time work, and heavy shift duty. The factors focused in this study may not be sufficient in predicting job satisfaction. There may be other potential factors related to job satisfaction. Thus, it is recommended that important factors related to job satisfaction be explored for future study.