Response time is a critical factor in emergency care that significantly influences patient survival outcomes. In emergency units, where patients often present with life-threatening conditions, the rapid assessment and initiation of treatment by nurses are vital in preventing deterioration and improving patient prognosis (Okoro et al., 2023). The effectiveness of the emergency response depends on the timely intervention of healthcare providers, particularly nurses who are often the first point of contact in emergency settings. Kaduna State, with its growing population and healthcare infrastructure challenges, is home to hospitals where emergency units are often under-resourced, placing further pressure on the timely delivery of care.
Nurses' response time can affect various clinical outcomes such as survival rates, morbidity, and length of hospital stay (Abdullah et al., 2024). Studies have shown that faster response times, especially in cases of trauma, cardiac arrest, or respiratory distress, can dramatically improve patient survival and recovery chances. However, challenges such as inadequate staffing, high patient load, and limited resources in Kaduna State hospitals may hinder optimal nurse response times. This study aims to explore the relationship between nurses' response time in emergency units and patient survival outcomes, focusing on the factors that influence response efficiency.
The response time of nurses in emergency care settings plays a critical role in patient survival, but it remains uncertain how this factor affects survival outcomes in hospitals in Kaduna State. With potential challenges in nurse staffing and resource limitations, it is important to investigate how these factors contribute to response times and, ultimately, patient outcomes.
The study will focus on emergency units in Kaduna State hospitals and examine nurses' response times in relation to patient survival outcomes. Limitations may include varying protocols in different hospitals, difficulties in obtaining precise response time data, and patient outcomes being influenced by multiple factors beyond response time.
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