Reporting on neurological burden in Hargeisa, Somaliland between 2019 and 2020: A cross-sectional study.

Journal of the neurological sciences(2022)

引用 0|浏览0
暂无评分
摘要
BACKGROUND AND OBJECTIVES:To characterize the disease burden of neurological cases in Hargeisa, Somaliland between January 2019 and June 2020 in order to shape clinical guidelines and develop policy interventions pertaining to brain health in the region. METHODS:In this retrospective, cross-sectional study, data was obtained from a case log of de-identified patients seen over an 18-month period. This case log was pulled from Hargeisa's three major city hospitals. In addition, demographic data including age and gender for each patient was obtained and gender-specific significance for each disease was determined. Patients were seen by one of three neuropsychiatry trainees at the University of Hargeisa. The Institutional Review Board from the University of Hargeisa has approved the data collection and analysis. RESULTS:Of the 1062 patients seen, 86.2% (915) presented with neurologic-specific diagnoses. 426 patients were female and 486 were male. Cerebral vascular accidents (CVAs, n = 272, 29.7%), traumatic brain injuries (TBIs, n = 113, 12.3%), infectious diseases (n = 94, 10.3%), headaches (n = 92, 10%), and epilepsy (n = 92, 10%) were the top five most prevalent diagnoses. The remaining patients (n = 147, 13.8%) presented with other non-neurologic diagnoses which may or may not capture any other co-morbidities the patients might have had. Notable sex-specific differences included headaches, which were more common (p < 0.0001) in female patients (n = 79, 18.5%) than in male patients (n = 13, 2.7%) and TBIs, which were more common (p < 0.0001) in male patients (n = 84, 17.2%) than female patients (n = 18, 4.2%). DISCUSSION:Our data contributes to neurological disease data in Hargeisa, Somaliland, with the top five prevalent diseases at three major city hospitals demonstrating a dire need for clinical guidelines and policy intervention aimed at improving brain health in the region.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要