Research Group on Epidemiology of Zoonoses and Public Health, Faculty of Veterinary Medicine, Université de Montréal, 3200 Sicoitte, Saint-Hyacinthe, J2S 2M2, Quebec, Canada.
Department of Pathobiology and Population Sciences, Royal Veterinary College, London, England.
Bull World Health Organ. 2019 Apr 1;97(4):283-289. doi: 10.2471/BLT.18.218917. Epub 2019 Jan 28.
One Health surveillance for antimicrobial resistance has been promoted by the scientific community and by international organizations for more than a decade. In this article, we highlight issues that need to be addressed to improve the understanding of the effectiveness of One Health surveillance for antimicrobial resistance. We also outline the evidence needed to support countries planning to increase the level of integration of their surveillance system. Based on experience in Canada and other countries, we argue that more effort is needed to understand and measure the added value of One Health for antimicrobial resistance surveillance and to identify the most effective integration strategies. To date, guidelines for the development of One Health surveillance have focused mainly on the types of data that should be integrated. However, it may be necessary to apply the concept of One Health to surveillance tasks beyond data integration to realize the full value of the approach. Integration can be enhanced across different surveillance activities (data collection, analysis, interpretation and dissemination), taking account of the different skills and perspectives of experts and stakeholders involved. More research is needed to investigate the mechanisms through which a One Health approach to surveillance can increase the performance of antimicrobial resistance surveillance and, ultimately, improve health outcomes.
十多年来,科学界和国际组织一直在推动针对抗菌素耐药性的“同一健康”监测。本文重点阐述了需要解决的问题,以增进对“同一健康”监测对抗菌素耐药性的效果的理解。我们还概述了支持计划提高监测系统一体化水平的国家所需的证据。我们根据加拿大和其他国家的经验认为,需要付出更多努力,理解和衡量“同一健康”对抗菌素耐药性监测的增值,并确定最有效的一体化策略。迄今为止,制定“同一健康”监测指南主要侧重于应整合的数据类型。但是,为了实现该方法的全部价值,可能有必要将“同一健康”的概念应用于数据整合以外的监测任务。可以通过考虑相关专家和利益攸关方的不同技能和观点,在不同的监测活动(数据收集、分析、解释和传播)之间加强一体化。需要开展更多的研究,以调查“同一健康”监测方法能够提高抗菌素耐药性监测绩效并最终改善健康结果的机制。