Ahmad Raheelah, Zhu Nina, Jain Rishabh, Joshi Jyoti, Mpundu Mirfin, Gutierrez Paola Amigo, Holmes Alison, Weyde Tillman, Atun Rifat
Department of Infectious Diseases, Imperial College London Faculty of Medicine, London, England, W21NY, UK.
Department of Health Services Research Management, City St Georges University of London School of Health & Psychological Sciences, London, England, EC1V0HB, UK.
Wellcome Open Res. 2025 Jul 30;9:700. doi: 10.12688/wellcomeopenres.22923.2. eCollection 2024.
The majority of countries (88%) have an Antimicrobial Resistance (AMR) National Action Plan (NAP V.1.0), but many remain unimplemented, and lack funding for interventions. Intervention selection requires a systematic approach to explain and predict progress. Looking beyond AMR is important to ensure the capture of systemic factors at the country level, which can impede or accelerate success.
To provide innovative policy analysis to allow country comparison and refine targeted action, while developing and implementing NAPs (V.2.0).
Mixed-method multi-country case study of policies and implementation strategies to address AMR across One Health. Starting with 17 countries, the sample includes each WHO region and emerging economies.This investigation of structures, processes, and outcomes has three components:a. Textual analysis of peer-reviewed literature, policy documents, global, national and state level progress reports, validated by global and in-country experts. An all-language article search conducted for 2000-2024, using broad search terms: 'Antimicrobial resistance policies', 'national action plan', 'surveillance', 'AMR systems' supplemented by hand searches. Deductive analysis using multi-disciplinary frameworks including the Expert Consensus for Implementation Research (ERIC). b. Longitudinal quantitative analysis assessing country contextual determinants and Antimicrobial Use (AMU) and AMR outcomes. Data from global health indicator repositories and international and national AMU and AMR surveillance networks are analysed using econometrics and machine learning approaches.c. Interactive Tableau dashboard development to display insights from a & b to allow visualisation and comparison of case-country AMR intervention context and components.
This protocol provides a systematic, transparent approach for countries to benchmark their own AMR strategies. The interactive dashboard will allow comparisons between country clusters by geography or economy, and enable rapid knowledge mobilisation among strategic and operational stakeholders including policy makers and planners. This protocol facilitates others to perform this structured assessment and nominate their country for the next wave of analysis.
大多数国家(88%)拥有抗菌药物耐药性(AMR)国家行动计划(NAP V.1.0),但许多计划仍未实施,且缺乏干预措施的资金。干预措施的选择需要一种系统的方法来解释和预测进展情况。超越抗菌药物耐药性进行审视很重要,以确保捕捉到国家层面可能阻碍或加速成功的系统性因素。
提供创新的政策分析,以便进行国家间比较并完善针对性行动,同时制定和实施国家行动计划(V.2.0)。
针对“同一个健康”领域应对抗菌药物耐药性的政策和实施策略开展多国家混合方法案例研究。从17个国家开始,样本涵盖世界卫生组织的每个区域以及新兴经济体。对结构、过程和结果的这项调查包括三个部分:a. 对同行评审文献、政策文件、全球、国家和州层面进展报告进行文本分析,并由全球和国内专家进行验证。在2000 - 2024年期间进行全语言文章搜索,使用宽泛的搜索词:“抗菌药物耐药性政策”、“国家行动计划”、“监测”、“抗菌药物耐药性系统”,并辅以手工搜索。使用包括实施研究专家共识(ERIC)在内的多学科框架进行演绎分析。b. 纵向定量分析,评估国家背景决定因素以及抗菌药物使用(AMU)和抗菌药物耐药性结果。使用计量经济学和机器学习方法分析来自全球健康指标库以及国际和国家抗菌药物使用与抗菌药物耐药性监测网络的数据。c. 开发交互式Tableau仪表板,展示a和b中的见解,以便可视化和比较案例国家的抗菌药物耐药性干预背景和组成部分。
本方案为各国提供了一种系统、透明的方法来对标自身的抗菌药物耐药性策略。交互式仪表板将允许按地理区域或经济情况对国家集群进行比较,并使包括政策制定者和规划者在内的战略和运营利益相关者之间能够快速进行知识传播。本方案有助于其他人进行这种结构化评估,并提名其国家参与下一轮分析。