Nurses’ Job Satisfaction In Selected Public Hospitals In Kericho County, Kenya

ABSTRACT

Job satisfaction among healthcare workers plays an important role in influencing productivity, performance efficiency, effectiveness, and the quality and safety of health care services. While there are numerous factors that influence healthcare workers’ job satisfaction, there is a need to identify the factors and address them adequately to improve the satisfaction and enhance the quality of health care services provided to the general public. As the Kenyan Government, through the Ministry of Health focuses on promoting the health and wellbeing of Kenyans by advancing health services, it must outline the challenges and inadequacies within the healthcare setting that limit quality, efficiency, and effectiveness in providing care. Identifying the main issues affecting healthcare in Kenya and their influence on nurses’ satisfaction continues to enhance quality improvement and public health. This study therefore sought to assess nurses’ job satisfaction in selected public hospitals in Kericho County, Kenya. The study sought to determine the proportion of nurses satisfied with their job, identify socio-demographic, individual and organizational factors influencing job satisfaction among nurses. The study employed a facility-based cross-sectional study design. The study reports on results obtained from selected public hospitals in the county. Study respondents were drawn from Kericho, Kapkatet, Sigowet, Londiani and Kipkelion District Hospitals which were purposively chosen. The study targeted a sample size of 216 respondents who were randomly sampled for study using computer generated numbers. Quantitative data was collected using structured questionnaires administered to respondents. Quantitative data was analyzed using Statistical Package for Social Sciences version 22.0. The results were presented in frequency tables, charts, percentages and graphs. Inferential statics were done using Chi Square tests to determine the association between study variables at 95% confidence interval (p