Smith Calum, Hitch Jake, Savic Lovro
Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.
Health Promot Int. 2025 Jul 1;40(4). doi: 10.1093/heapro/daaf120.
Antimicrobial resistance (AMR) poses a significant threat to public health. The commercial determinants of health (CDoH) play a key role in shaping the development and growth of AMR. It is important to recognise these commercial factors and situate them within the complex system which describes the emergence and transmission of AMR, so that we can begin to evaluate their impact. There are several feedback loops in the AMR system that prevent a linear 'cause and effect' solution presenting itself to policymakers. These factors are all complexly interdependent and a solution requires recognition of this complexity. We take it for granted that one solution alone cannot tackle the issue of the growing threat of AMR. For this reason, we propose the use of complex system dynamics to visualize key interdependencies within the system. By building on existing systems maps of AMR, we propose to explore and highlight the relationships between the CDoH and AMR in order to demonstrate how commercial factors have consequences for and knock-on effects on other elements (and potential policy suggestions) within the system. In short, the proposed systems map is a tool that can be used to (i) represent some of the ways that commercial factors impact on AMR and (ii) visually simplify the complexity of the issue at hand. We provide a map that could act as a starting point to demonstrate our argument and act as a baseline to be developed going forward in collaboration with other research and non-research actors within the system.
抗菌药物耐药性(AMR)对公众健康构成重大威胁。健康的商业决定因素(CDoH)在AMR的发展和增长过程中起着关键作用。认识到这些商业因素并将其置于描述AMR出现和传播的复杂系统中非常重要,这样我们才能开始评估它们的影响。AMR系统中有几个反馈回路,这使得政策制定者难以找到简单的“因果”解决方案。这些因素相互之间存在复杂的依存关系,解决问题需要认识到这种复杂性。我们理所当然地认为,仅靠一种解决方案无法应对AMR日益增长的威胁这一问题。因此,我们建议使用复杂系统动力学来可视化系统内的关键相互依存关系。在现有的AMR系统地图基础上,我们建议探索并突出CDoH与AMR之间的关系,以展示商业因素如何对系统内的其他要素产生影响及连锁效应(以及潜在的政策建议)。简而言之,所提议的系统地图是一种工具,可用于(i)展示商业因素影响AMR的一些方式,以及(ii)直观地简化手头问题的复杂性。我们提供了一张地图,可作为论证的起点,并作为与系统内其他研究和非研究行为体合作进一步发展的基线。