Background of the Study: Hemodialysis is a life-saving treatment for patients with kidney failure, especially in settings with limited access to renal transplantation. However, the treatment is associated with a range of complications, including hypotension, infections, vascular access issues, anemia, and electrolyte imbalances (Oni et al., 2023). Effective management of these complications is crucial for preventing adverse outcomes such as hospitalization, increased morbidity, and premature mortality in dialysis patients (Amos et al., 2023). Nurses, as frontline healthcare providers, are instrumental in managing these complications through vigilant monitoring, early detection, and prompt intervention. However, gaps in nurses' knowledge and practices in managing dialysis-related complications can impact patient outcomes.
In Kaduna State, healthcare facilities are gradually expanding dialysis services, but there remains a need to assess nurses’ knowledge and practices regarding the management of hemodialysis complications. This study will evaluate the current state of knowledge and practice among nurses in Kaduna State, aiming to identify areas for improvement and potential training needs.
Statement of the Problem: The management of complications arising from hemodialysis requires specialized knowledge and skills, yet there are concerns that nurses in Kaduna State healthcare facilities may lack adequate training in these areas. The inadequacy of nursing knowledge and practices could lead to suboptimal patient care, poor outcomes, and higher rates of hospitalization (Gwarzo et al., 2023). This study seeks to assess the knowledge and practices of nurses in managing hemodialysis complications and to determine the implications for patient care in Kaduna State.
Objectives of the Study:
Research Questions:
Research Hypotheses:
Scope and Limitations of the Study: The study will focus on nurses working in healthcare facilities in Kaduna State that provide hemodialysis services. Limitations include the variability in training programs available to nurses and the potential for response biases in self-reported data.
Definitions of Terms:
ABSTRACT
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