Preserving Antibiotics through Safe Stewardship: PASS

通过安全管理保存抗生素：通过

• 批准号: ES/P008321/1
• 负责人: Andrew Hayward
• 金额: $ 207.38万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FP008321%2F1
• 关键词: Preserving; Antibiotics; through; Safe; Stewardship

Since the discovery of Penicillin in the 1940s, antibiotics have transformed our ability to treat bacterial infections allowing us to live healthier, longer lives. However, we have been overusing antibiotics for decades to treat mild infections that would usually get better on their own. This overuse makes bacteria evolve so that they can survive the effect of an antibiotic making infections much harder to treat. If we are to preserve antibiotics for the future, we need to make sure that they are used carefully and not wasted. This careful use of antibiotics, making sure that those who need them can benefit but that they are not over-used is known as "antibiotic stewardship". This proposal will provide the information necessary to design approaches that can support safe antibiotic stewardship.In the first set of studies, we will measure how the public and healthcare professionals use antibiotics in the United Kingdom. We will invite people to take part in a survey called "Bug Watch." This survey will allow us to measure what different people usually do when they get common infections, for example, whether or not they visit their GP, take an antibiotic or take some other treatment. We will also use electronic patient records from a range of health settings to understand how healthcare staff are using antibiotics in general practice, hospitals and nursing homes for the elderly. Whenever we analyse medical records, they will be anonymous such that we cannot tell whose records they are. In addition to measuring how healthcare staff use antibiotics, the analyses will allow us to understand better which patients most need antibiotics to prevent complications of infection and which patients can safely not use antibiotics. Scientists who are experts in the use of electronic health records will lead this work. In the next set of studies, we will interview members of the public, patients, parents, doctors and other healthcare staff to provide a deeper understanding of what influences decisions about antibiotic use. The interviews will focus on the aspects of prescribing identified as needing improvement in the earlier work. We will also visit GP practices, nursing homes and hospital wards to observe how healthcare staff use antibiotics. The science of behaviour change allows us to understand human behaviour and how best to change this. Scientists who are experts in studying health behaviour will lead this work.A large number of studies have already tested different approaches to reducing unnecessary antibiotic use. We will summarise these studies to show what has worked in the past. We will use behavioural science theory to explain why some attempts to reduce prescribing have been successful while others failed. Our detailed analyses of how and why we use antibiotics in different settings and of what has worked in the past will help us design new combinations of approaches that can be used to improve antibiotic use across the community and health service. We will develop these new approaches to antibiotic stewardship in partnership with patients, members of the public and healthcare staff. We will also design studies to find out how well these new strategies work. We will work with designers to develop a website to explain the results of our work and to act as a practical tool to help the public, health care staff and health service planners improve antibiotic use. The work, which involves scientists from many different backgrounds, will provide excellent opportunities for training young researchers. These scientists will increase our future ability to tackle the growing problem of antibiotic resistance.

自20世纪40年代发现青霉素以来，抗生素改变了我们治疗细菌感染的能力，使我们能够活得更健康，更长寿。然而，几十年来，我们一直在过度使用抗生素来治疗通常会自行好转的轻度感染。这种过度使用使细菌进化，使它们能够在抗生素的作用下生存下来，使感染更难治疗。如果我们要为未来保留抗生素，我们需要确保它们被小心使用，而不是浪费。这种谨慎使用抗生素，确保那些需要它们的人可以受益，但它们不会过度使用，这被称为“抗生素管理”。这项提案将提供必要的信息，以设计方法，可以支持安全的抗生素steadship.In第一组研究，我们将衡量公众和医疗保健专业人员如何使用抗生素在英国。我们将邀请人们参加一个名为“Bug Watch”的调查。“这项调查将使我们能够衡量不同的人在受到常见感染时通常会做些什么，例如，他们是否会去看他们的家庭医生，服用抗生素或采取其他治疗措施。我们还将使用来自一系列卫生机构的电子病历，以了解医护人员如何在全科诊所、医院和养老院使用抗生素。我们每次分析医疗纪录时，都是不记名的，我们无法知道是谁的纪录。除了测量医护人员如何使用抗生素外，这些分析还将使我们更好地了解哪些患者最需要抗生素来预防感染并发症，以及哪些患者可以安全地不使用抗生素。使用电子健康记录方面的专家将领导这项工作。在下一组研究中，我们将采访公众、患者、家长、医生和其他医护人员，以更深入地了解影响抗生素使用决定的因素。访谈将集中在早期工作中确定需要改进的处方方面。我们还将访问全科医生的做法，疗养院和医院病房，观察医护人员如何使用抗生素。行为改变科学使我们能够了解人类行为以及如何最好地改变这种行为。研究健康行为的科学家将领导这项工作。大量的研究已经测试了不同的方法来减少不必要的抗生素使用。我们将总结这些研究，以显示过去的工作。我们将使用行为科学理论来解释为什么一些减少处方的尝试取得了成功，而另一些则失败了。我们详细分析了我们如何以及为什么在不同环境中使用抗生素，以及过去的工作将有助于我们设计新的方法组合，可用于改善整个社区和卫生服务中的抗生素使用。我们将与患者、公众和医护人员合作开发这些新的抗生素管理方法。我们还将设计研究，以了解这些新策略的效果如何。我们将与设计师合作开发一个网站，解释我们的工作成果，并作为一个实用的工具，帮助公众，卫生保健人员和卫生服务规划人员改善抗生素的使用。这项工作涉及来自许多不同背景的科学家，将为培训年轻研究人员提供极好的机会。这些科学家将提高我们未来解决抗生素耐药性问题的能力。

项目成果

Feasibility study of hospital antimicrobial stewardship analytics using electronic health records.

• DOI: 10.1093/jacamr/dlab018
• 发表时间: 2021-03
• 期刊: JAC-antimicrobial resistance
• 影响因子: 3.4
• 作者: Dutey-Magni PF;Gill MJ;McNulty D;Sohal G;Hayward A;Shallcross L;Anderson N;Crayton E;Forbes G;Jhass A;Richardson E;Richardson M;Rockenschaub P;Smith C;Sutton E;Traina R;Atkins L;Conolly A;Denaxas S;Fragaszy E;Horne R;Kostkova P;Lorencatto F;Michie S;Mindell J;Robson J;Royston C;Tarrant C;Thomas J;West J;Williams H;Elsay N;Fuller C
• 通讯作者: Fuller C

Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study.

• DOI: 10.12688/wellcomeopenres.16304.2
• 发表时间: 2020
• 期刊: Wellcome open research
• 作者: Eyre MT;Burns R;Kirkby V;Smith C;Denaxas S;Nguyen V;Hayward A;Shallcross L;Fragaszy E;Aldridge RW
• 通讯作者: Aldridge RW

Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study - Supplementary material, code and data

咳嗽和发烧基线病例对英国 COVID-19 诊断检测率的影响：Bug Watch 社区队列研究的估计 - 补充材料、代码和数据

• DOI: 10.17605/osf.io/nz2ju
• 发表时间: 2022
• 作者: Eyre M

Additional file 1 of Interventions to improve appropriate antibiotic prescribing in long-term care facilities: a systematic review

改善长期护理机构适当抗生素处方的干预措施的附加文件 1：系统评价

• DOI: 10.6084/m9.figshare.12637875
• 发表时间: 2020
• 作者: Crayton E