Knowledge of Lassa fever, its prevention and control practices and their predictors among healthcare workers during an outbreak in Northern Nigeria: A multi-centre cross-sectional assessment.

• Published in: PLOS Neglected Tropical Diseases
• Main Authors: Yusuf Hassan Wada, Ibrahim Abayomi Ogunyinka, Kazeem Babatunde Yusuff, Chinwe Lucia Ochu, Mohammed Yahaya, Garba Mohammed Khalid, Yahkub Babatunde Mutalub, Sulaiman Badmus Adeniye
• Format: Article in Journal/Newspaper
• Language: English
• Published: Public Library of Science (PLoS) 2022
• Subjects: Arctic medicine. Tropical medicine; RC955-962; Public aspects of medicine; RA1-1270; Arctic
• Online Access: https://doi.org/10.1371/journal.pntd.0010259; https://doaj.org/article/04752f83de32426485dbb2a561e628a4

Background The year 2020 Lassa fever (LF) outbreak had the greatest disease burden and this can place an enormous strain on the already overstretched healthcare system and can potentially increase morbidity and mortality due to infectious diseases. Therefore, having a knowledgeable healthcare workforce with appropriate skills and competencies to prevent and manage outbreaks of a neglected infectious disease such as LF in Nigeria will potentially enhance public health. Thus, this survey assessed the level of knowledge of LF and its prevention and control (PC) measures amongst the healthcare workers (HCWs) during a LF outbreak in Katsina state, Nigeria. Methodology/principal findings During this cross-sectional survey, HCWs complete a validated 29-item questionnaire comprising 18 items on the knowledge of LF and its PC measures and an item on global self-evaluation of their LF knowledge. Psychometric properties of the questionnaire were evaluated. Chi-square and binary logistic regression analyses were conducted. Out of 435 HCWs invited, a total of 400 participated in the study (92% response rate). The majority of participants (51.8%) demonstrated inadequate LF knowledge, with 62.9% of those scoring low having a high self-perception of their LF knowledge with the global scale. This LF knowledge over-estimation was predicted by LF training status (odds ratio (OR) 2.53; 95% CI: 1.49-4.30; p = 0.001). The level of LF knowledge and its PC measures among the study participants was low (11.60±8.14, 64.4%) and predicted by participants' LF training status (OR 2.06; 95% CI: 1.19-3.57; p = 0.009), place of work (OR 1.82; 95% CI: 1.07-3.08; p = 0.03) and their designations (OR 2.40; 95% CI: 1.10-5.22; p = 0.03). Conclusion The level of knowledge of LF and its PC measures among the HCWs surveyed was suboptimal and participants' LF training status, place of work and occupational category were the significant predictors. In addition, LF knowledge overestimation on a global scale was observed among a majority of HCWs and this ...