Ausvet, Fremantle, Western Australia, Australia
Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, Victoria, Australia.
BMJ Glob Health. 2022 Jan;7(1). doi: 10.1136/bmjgh-2021-007388.
Electronic information systems (EIS) that implement a 'One Health' approach by integrating antimicrobial resistance (AMR) data across the human, animal and environmental health sectors, have been identified as a global priority. However, evidence on the availability, technical capacities and effectiveness of such EIS is scarce.
Through a qualitative synthesis of evidence, this systematic scoping review aims to: identify EIS for AMR surveillance that operate across human, animal and environmental health sectors; describe their technical characteristics and capabilities; and assess whether there is evidence for the effectiveness of the various EIS for AMR surveillance. Studies and reports between 1 January 2000 and 21 July 2021 from peer-reviewed and grey literature in the English language were included.
26 studies and reports were included in the final review, of which 27 EIS were described. None of the EIS integrated AMR data in a One Health approach across all three sectors. While there was a lack of evidence of thorough evaluations of the effectiveness of the identified EIS, several surveillance system effectiveness indicators were reported for most EIS. Standardised reporting of the effectiveness of EIS is recommended for future publications. The capabilities of the EIS varied in their technical design features, in terms of usability, data display tools and desired outputs. EIS that included interactive features, and geospatial maps are increasingly relevant for future trends in AMR data analytics.
No EIS for AMR surveillance was identified that was designed to integrate a broad range of AMR data from humans, animals and the environment, representing a major gap in global efforts to implement One Health approaches to address AMR.
通过整合人类、动物和环境卫生部门的抗微生物药物耐药性 (AMR) 数据,实施“同一健康”方法的电子信息系统 (EIS) 已被确定为全球优先事项。然而,关于这些 EIS 的可用性、技术能力和有效性的证据很少。
通过对证据进行定性综合分析,本系统范围综述旨在:确定在人类、动物和环境卫生部门之间开展 AMR 监测的 EIS;描述其技术特点和功能;并评估各种用于 AMR 监测的 EIS 是否具有有效性的证据。纳入了 2000 年 1 月 1 日至 2021 年 7 月 21 日在同行评审和灰色文献中的英文文献的研究和报告。
最终综述纳入了 26 项研究和报告,其中描述了 27 个 EIS。没有一个 EIS 以一种整体健康的方式整合了所有三个部门的 AMR 数据。虽然缺乏对所确定的 EIS 有效性进行彻底评估的证据,但大多数 EIS 都报告了几个监测系统有效性指标。建议未来的出版物要对 EIS 的有效性进行标准化报告。EIS 的功能在其技术设计特征方面有所不同,包括可用性、数据显示工具和所需的输出。包含交互功能和地理空间地图的 EIS 越来越符合 AMR 数据分析的未来趋势。
没有发现旨在整合来自人类、动物和环境的广泛 AMR 数据的 AMR 监测 EIS,这是全球实施同一健康方法应对 AMR 的努力中的一个主要差距。