Obstetric emergencies, including conditions such as preeclampsia, eclampsia, hemorrhage, and obstructed labor, are major contributors to maternal mortality worldwide (Olawoyin et al., 2024). The ability of healthcare providers, especially nurses, to recognize and manage these emergencies is crucial for improving maternal and fetal outcomes (Akinmoladun & Agboola, 2023). Nurses play a vital role in the timely identification and management of obstetric emergencies, often serving as the first point of contact for pregnant women in distress (Adeboye & Adeola, 2024).
In Katsina State, the healthcare system faces significant challenges, including limited resources, inadequate training for healthcare personnel, and poor access to healthcare facilities, which hinder the effective management of obstetric emergencies (Mustapha et al., 2023). Despite the critical role of nurses in obstetric care, there is insufficient research on their knowledge of obstetric emergencies in the region. Understanding nurses' knowledge gaps and training needs is essential to improving emergency care in obstetric settings.
This study aims to appraise the level of knowledge of obstetric emergencies among nurses working in the Federal Medical Centre, Katsina State, and to explore factors influencing their preparedness to manage these emergencies effectively.
Obstetric emergencies contribute significantly to maternal and fetal mortality rates in Katsina State, with nurses being crucial in the management and intervention process. However, studies suggest that many nurses in the region may lack adequate knowledge and training on recognizing and responding to these emergencies (Bello et al., 2023). The gap in knowledge could result in delayed interventions, inadequate care, and worse maternal health outcomes. There is a need for an in-depth assessment of nurses' knowledge to inform targeted training and capacity-building initiatives.
This study will focus on nurses working in the obstetrics department of Federal Medical Centre, Katsina State. Limitations include potential biases in self-reported knowledge assessments and the inability to generalize findings to other healthcare facilities in the state.
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