التفاصيل البيبلوغرافية
| العنوان: |
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. |
| المؤلفون: |
Wada, Yusuf Hassan1 (AUTHOR), Ogunyinka, Ibrahim Abayomi2 (AUTHOR) ibrahim.abayomi@udusok.edu.ng, Yusuff, Kazeem Babatunde3 (AUTHOR), Ochu, Chinwe Lucia4 (AUTHOR), Yahaya, Mohammed5 (AUTHOR), Khalid, Garba Mohammed6 (AUTHOR), Mutalub, Yahkub Babatunde7 (AUTHOR), Adeniye, Sulaiman Badmus8 (AUTHOR) |
| المصدر: |
PLoS Neglected Tropical Diseases. 3/14/2022, Vol. 16 Issue 3, p1-18. 18p. |
| مصطلحات موضوعية: |
*MEDICAL personnel, *LASSA fever, *LOGISTIC regression analysis, *HEALTH facilities, *INFECTION |
| مصطلحات جغرافية: |
NIGERIA, KATSINA (Nigeria) |
| مستخلص: |
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 was also predicted by LF training status. Therefore, there is a critical need for health authorities in Nigeria to prioritize continuous on-the-job training of HCWs on priority neglected tropical diseases such as Lassa fever. Author summary: In about five decades in Nigeria, Lassa fever (LF) has infected 3897 and caused 1319 deaths (including 71 healthcare workers (HCWs)) giving a case fatality rate of 33.8% for confirmed cases in Nigeria. Poor knowledge of LF and its prevention and control (PC) measures amongst HCWs can lead to non-adherence to LF safety protocols, healthcare-associated infections, poor patient outcomes, and even the death of infected HCWs. In addition, LF knowledge over-estimation may lead to mismanagement of LF cases with potential fatal consequences. Therefore, this study assessed if the nine different cadres of HCWs interviewed from four health facilities during an LF outbreak in Katsina, Nigeria have the appropriate level of LF knowledge. Using a validated questionnaire, data were collected from 400 HCWs and then analyzed with Statistical Package for the Social Sciences (SPSS) Version 25. Results were tabulated and associations between the variables determined. More than half of the HCWs demonstrated inadequate LF knowledge with nearly two out of three of these HCWs over-estimating their LF knowledge. However, adequate LF knowledge was predicted by training on LF and this in turn predicted LF knowledge over-estimation. [ABSTRACT FROM AUTHOR] |
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