Background: Snakebite statistics in Sudan are lacking despite the high estimated burden of the problem. One study in Sudan reported the presence of 17 medically significant snakes belonging to three major families: Burrowing asps, Elapidae, and Viperidae. These snakes usually become abundant during and after the rainy season, and most snakebite victims are farm workers. This study was set out based on the observed snakebite management, poor outcomes and lack of information on the healthcare provider's knowledge of this serious, deadly medical and health condition in snakebite-endemic regions of Sudan.
Materials and methods: In August 2022, a descriptive cross-sectional survey was conducted involving 394 medical and healthcare providers in snakebite-endemic regions of Sudan (Gaddarif, Sinnar, Khartoum, and Kassala). A validated questionnaire was used. It consisted of seven sections addressing the study population demographic characteristics, knowledge of snakes, snakebites, and their management. Data analysis used various statistical tests using Microsoft Excel and the Statistical Package for Social Sciences (SPSS) version 20 (IBM SPSS Inc., Chicago, IL) was done.
Results: Among the 394 participants (44.7% males, 53.3% females), 58.1% demonstrated adequate knowledge of snakes, and 45.3% exhibited adequate knowledge of snakebites. A mere 25.9% received training in snakebite management, with 60.4% possessing adequate knowledge in this domain. Only 14% expressed high confidence in managing snakebites, and 40.9% reported having protocols for snakebite management at their health facilities.
Conclusion: The study highlighted the inadequacy of healthcare providers' knowledge in snakebite-endemic areas in Sudan regarding snakes, snakebites and snakebites management. Urgent interventions, such as intensive continuing professional education and training, are essential to address this neglected medical and health problem.
Copyright: © 2024 Saeed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.