Shutt Alison E, Ashiru-Oredope Diane, Price James, Padoveze Maria Clara, Shafiq Nusrat, Carter Emma, Ghataure Amrita, Shariq Sameed, Holmes Alison H, Charani Esmita
Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
UKHSA, London, UK.
BMJ Glob Health. 2025 May 30;10(5):e017389. doi: 10.1136/bmjgh-2024-017389.
The social determinants of health (SDoH) impact the emergence and spread of antimicrobial resistance (AMR). We conducted a systematic review of literature mapping evidence on the intersection of SDoH, drug-resistant infections, antibiotic use, and public-facing interventions.
Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, Ovid MEDLINE, Ovid EMBASE, the Cochrane Library, PsycINFO and Scopus were searched for published evidence in English between 2000 and 2022. Covidence software was used for data extraction. The evidence was mapped to the SDoH frameworks and the systematic review objectives.
Of 17 252 retrieved papers, 16 636 were included in title and abstract review, with 153 included in data extraction (126 empirical studies and 27 papers with secondary data). Of these, 92/126 (73%) were quantitative, 23/126 (18%) qualitative and 11/126 (9 %) mixed methods. There was evidence from high income 60/126 (47%), lower-middle income 41/126 (33%), low income 14 (11%) and upper-middle income 11 (9%) countries.There is limited evidence associated with the complete range of SDoH in different populations. Reported determinants affecting the risk of exposure to and spread of AMR include (a) socioeconomic status and the associated impact on health seeking behaviours, (b) housing-living in a deprived area and overcrowding and (c) knowledge linked with education affecting practices, exacerbated by interconnected complexity with the associated influence of socioeconomic status. A gap in understanding the upstream systems which create inequality and negatively impact SDoH is evident. Numerous definitions are used to identify vulnerable populations. There is very limited research examining specific population groups, for example, traveller communities and the disabled. Reported interventions focus on awareness programmes with little evidence on sustained behaviour change.
This review identified the need to (a) develop policies and context-specific solutions to manage upstream determinants, (b) include population groups where current evidence is limited and (c) prioritise community-based research using co-production methods.
健康的社会决定因素(SDoH)影响着抗菌药物耐药性(AMR)的出现和传播。我们对文献进行了系统综述,梳理了关于SDoH、耐药感染、抗生素使用及面向公众的干预措施交叉领域的证据。
遵循系统综述与Meta分析的首选报告项目指南,检索了Ovid MEDLINE、Ovid EMBASE、Cochrane图书馆、PsycINFO和Scopus数据库,查找2000年至2022年间以英文发表的证据。使用Covidence软件进行数据提取。将证据映射到SDoH框架和系统综述目标。
在检索到的17252篇论文中,16636篇纳入标题和摘要审查,153篇纳入数据提取(126项实证研究和27篇二手数据论文)。其中,126项实证研究中92项(73%)为定量研究,23项(18%)为定性研究,11项(9%)为混合方法研究。证据来自高收入国家60项(47%)、中低收入国家41项(33%)、低收入国家14项(11%)和中高收入国家11项(9%)。与不同人群中完整的SDoH范围相关的证据有限。报告的影响AMR暴露风险和传播的决定因素包括:(a)社会经济地位及其对就医行为的相关影响;(b)住房——生活在贫困地区、过度拥挤;(c)与教育相关的知识影响行为,社会经济地位的相关影响所带来的相互关联的复杂性加剧了这种情况。在理解造成不平等并对SDoH产生负面影响的上游系统方面存在明显差距。众多定义被用于识别弱势群体。针对特定人群组,如旅行者群体和残疾人的研究非常有限。报告的干预措施侧重于提高认识项目,关于持续行为改变的证据很少。
本综述确定有必要:(a)制定政策和因地制宜的解决方案来管理上游决定因素;(b)纳入当前证据有限的人群组;(c)优先采用合作生产方法开展基于社区的研究。