Pain management is a crucial component of post-surgical care, influencing patient recovery, comfort, and overall outcomes. Effective pain management strategies can prevent complications, reduce the need for prolonged hospital stays, and improve patient satisfaction (Aliyu & Bello, 2023). In surgical settings, nurses are responsible for assessing, managing, and monitoring pain, using a range of pharmacological and non-pharmacological methods such as analgesics, nerve blocks, physical therapy, and relaxation techniques (Yusuf et al., 2024).
Sokoto State University Teaching Hospital (SSUTH) serves as a major healthcare provider in the northwestern region of Nigeria, with a high volume of surgical cases across various specialties. However, research suggests that pain management practices in many Nigerian hospitals are often suboptimal due to inadequate training, limited resources, and a lack of standardized protocols (Umar & Ibrahim, 2023). This study aims to examine the pain management strategies employed by surgical nurses at SSUTH, evaluating their effectiveness, adherence to guidelines, and challenges in practice.
Inadequate pain management following surgery can lead to a range of adverse effects, including delayed recovery, increased risk of complications, and reduced patient satisfaction. While SSUTH has established pain management protocols, there is limited data on how these are implemented in practice by surgical nurses, who play a central role in the administration and monitoring of pain relief measures. Factors such as staff shortages, cultural attitudes towards pain, and the availability of medications may affect the delivery of optimal pain care.
This study seeks to evaluate the strategies used by surgical nurses at SSUTH to manage pain and identify factors that influence the effectiveness of these practices.
This study will focus on surgical nurses at SSUTH and assess the effectiveness of pain management strategies they use for post-surgical patients. Limitations include potential biases in self-reported data from nurses and variability in patient pain responses.
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