Yudhanto Setyo, Varga Csaba
Department of Pathobiology, University of Illinois Urbana Champaign, Urbana, IL 61802, USA.
Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61802, USA.
Antibiotics (Basel). 2023 Mar 8;12(3):542. doi: 10.3390/antibiotics12030542.
Inappropriate antimicrobial use in animals and humans has been associated with the emergence of antimicrobial resistance, which has become a global public health concern. Veterinarians' practice locations and their knowledge and opinions on antimicrobial resistance may influence their antimicrobial prescription practices, which could impact the emergence of antimicrobial-resistant bacteria. This study used a spatial modeling approach to identify areas where veterinarians are knowledgeable about factors that impact the selection of antimicrobial resistance. In addition, we sought to identify regions with higher- and lower-than-expected response rates to our survey to aid future antimicrobial stewardship efforts. A total of 83 veterinarians who treated dogs and/or cats across 34 different Illinois counties responded to our online survey. Most of the responders (90.9%) considered that insufficient doses or duration of antibiotic treatments contribute the most to the selection of antimicrobial resistance. A high proportion of veterinarians (78.7%) attended educational programs on antimicrobial use and resistance; however, only 46.2% were knowledgeable about the current antimicrobial resistance profiles of prevalent bacteria in their area. A mean knowledge score for each county was calculated based on the responses of veterinarians to the survey questions. Local Moran's I statistic was used to identify counties with high and low knowledge scores. A high knowledge score area in the northeast region and a low knowledge score area in the southeast of Illinois were identified. Using scan statistics with a Poisson model that accounted for the estimated number of veterinarians in a county, a higher-than-expected response rate area was identified in central-east Illinois and a lower-than-expected area in the northeast. This study showed the effectiveness of using geographic analysis and spatial statistics to identify locations where future antimicrobial stewardship programs should focus.
动物和人类中不恰当使用抗菌药物与抗菌药物耐药性的出现有关,这已成为全球公共卫生问题。兽医的执业地点以及他们对抗菌药物耐药性的知识和看法可能会影响他们的抗菌药物处方行为,进而可能影响抗菌药物耐药菌的出现。本研究采用空间建模方法来确定兽医了解影响抗菌药物耐药性选择因素的地区。此外,我们试图确定对我们的调查有高于和低于预期回复率的地区,以帮助未来的抗菌药物管理工作。共有83名在伊利诺伊州34个不同县治疗犬和/或猫的兽医回复了我们的在线调查。大多数回复者(90.9%)认为抗生素治疗剂量不足或疗程不足是导致抗菌药物耐药性选择的最大因素。很大比例的兽医(78.7%)参加了关于抗菌药物使用和耐药性的教育项目;然而,只有46.2%的兽医了解其所在地区常见细菌的当前抗菌药物耐药情况。根据兽医对调查问题的回答计算每个县的平均知识得分。使用局部莫兰指数统计量来确定知识得分高和低的县。在伊利诺伊州东北部确定了一个高知识得分区域,在东南部确定了一个低知识得分区域。使用泊松模型的扫描统计量,该模型考虑了一个县内估计的兽医数量,在伊利诺伊州中东部确定了一个高于预期回复率的区域,在东北部确定了一个低于预期回复率的区域。这项研究表明了使用地理分析和空间统计来确定未来抗菌药物管理项目应关注地点的有效性。