埃塞俄比亚大学生关于抗菌药物使用(AMU)和抗菌药物耐药性(AMR)的知识、态度和实践(KAP

F. Abunna, G. Gebresenbet, B. Megersa
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摘要

对埃塞俄比亚1252名大学生进行了一项基于横断面问卷的研究,以评估他们对抗菌素使用(AMU)和抗菌素耐药性(AMR)的知识、态度和实践(KAP)。从随机选择的参与本研究的学生中获得口头同意。采用logistic回归分析来评估学生的社会人口学概况与他们对抗菌素耐药性和抗菌素使用的知识、态度和实践之间的关系。使用Kruskal-Wallis和卡方检验来检查每个研究参与者的知识、态度和实践类别的中位数得分如何变化。p值小于0.05为显著性。总体AMR和AMU知识得分中位数为13分(IQR= 11,14)。AMR和AMU态度得分中位数为15分(IQR: 13,15)。AMU和AMR实践的中位数得分为10分(IQR: 10,11)。Logistic回归分析发现,学生的出生地对学生的知识有显著影响(p <0.01)。进一步分析发现,学生的出生地、学习领域和良好的知识水平是影响学生态度的显著因素(p<0.01)。知识水平高的学生的积极态度是知识水平低的学生的3.9倍(OR = 3.9, CI = 3.0 ~ 5.2, p < 0.01)。VM学生的态度是HS和NHS学生的1.6倍(OR = 1.6, CI=1.2 ~ 2.1, p = 0.002)。最后,兽医学专业的学生和具有良好知识的学生的实践能力分别是同行的1.4倍和0.5倍(OR=1.4;CI = 1.2, 2.1, p < 0.01,或= 0.5,CI = 0.4, 0.6, p < 0.01,分别)。总之,大学生在抗菌药物使用和耐药性的知识、态度和实践方面存在严重差距。因此,我们鼓励学生充分利用数字时代来提升他们的知识。提高认识的干预措施也应针对卫生科学以外专业的学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge, attitude, and practices (KAP) of University students regarding antimicrobial use (AMU) and antimicrobial resistance (AMR) in Ethiopia
A cross-sectional questionnaire-based study on 1252 University students was conducted in Ethiopia to assess their knowledge, attitude,  and practices (KAP) towards antimicrobial usage (AMU) and antimicrobial resistance (AMR). Verbal consent was obtained from randomly  selected students to participate in this study. A logistic regression analysis was used to assess the association between the socio- demographic profiles of the students against their knowledge, attitude, and practices toward antimicrobial resistance and antimicrobial  usage. The Kruskal-Wallis and chi-square tests were used to examine how the median scores in each of the knowledge, attitude, and  practice categories varied across study participants. A p-value of less than 0.05 was considered significant. The overall median AMR and  AMU knowledge score was 13 (IQR=11, 14). The median AMR and AMU attitude score was 15 (IQR: 13, 15). The median score of AMU and  AMR practice was 10 (IQR: 10, 11). Logistic regression analysis revealed that the students’ birthplace was found to be a significant factor  (p <0.01) regarding the knowledge of students. The analysis further revealed that students’ birthplace, field of studies, and good  knowledge were significant factors (p<0.01) affecting their attitudes. Students with good knowledge had 3.9 times more positive attitudes  than those with poor knowledge (OR = 3.9, CI = 3.0 -5.2, p < 0.01). Students from VM had 1.6 times better attitudes than  students from HS and NHS (OR = 1.6, CI=1.2- 2.1, p = 0.002). Finally, students in the field of veterinary medicine and those having good  knowledge had 1.4 and 0.5 times better practice than their counterparts (OR=1.4; CI=1.2, 2.1, p<0.01 and OR= 0.5, CI=0.4, 0.6, p<0.01,  respectively). In conclusion, there were critical gaps in knowledge, attitudes, and practices among University students regarding  antimicrobial usage and antimicrobial resistance. Hence, students are encouraged to exhaustively utilize the digital era to advance their  knowledge. Interventions to raise awareness should also target students majoring in fields other than health sciences. 
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