Workload and Professional Performance among Medical Social Workers in Nairobi County, Kenya

Petrovic Mulubi Kaiga, Mary Mutisya & Titus Mutia
The Catholic University of Eastern Africa
Email: petrovickaiga@gmail.com/ msyokoli@cuea.edu/ mutia@cuea.edu

Abstract: Social work is a profession that empowers people to overcome barriers and dysfunctional socioeconomic systems, particularly for vulnerable groups like children, the poor, and the physically or mentally challenged. This study sought to determine relationship between workload and professional performance among medical social workers in Nairobi Kenya. The objectives were to determine the relationship between caseload and professional performance among medical social workers in Nairobi, Kenya, and to establish relationship between nature of work and professional performance among medical social workers in Nairobi Kenya. The study anchored by two theorie10.1s: the social learning theory, and the self-regulation theory. This study used mixed-methods descriptive sequential research design adopted, prioritizing qualitative data supported by quantitative data. The target population of 1,600 individuals included medical social workers, interns, and teaching staff, with a sample size of 400 derived using the Taro Yamane formula. Stratified random and purposive sampling techniques were employed. Research tools included semi-structured interviews and questionnaires, pre-tested for reliability and validity. Data analysis utilized SPSS for descriptive and inferential statistics. Ethical standards were rigorously upheld throughout the study. The findings indicated that high caseloads lead to burnout, stress, and diminished job satisfaction, which in turn negatively impacts service quality and effectiveness. Although certain workloads were found to be manageable, excessive demands adversely affect outcomes. Fostering supportive work environments, promoting teamwork, and implementing effective caseload management can improve performance. Complex cases elevate the risk of burnout, training and supervision. The study suggested maintaining balanced caseloads and providing continuous professional development to enhance productivity.