National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK.
NIHR Imperial Patient Safety Translational Research Centre, Imperial College London, London, UK.
BMC Public Health. 2024 Oct 14;24(1):2820. doi: 10.1186/s12889-024-20248-8.
Antimicrobial resistance is a global patient safety priority and inappropriate antimicrobial use is a key contributing factor. Evidence have shown that delayed (back-up) antibiotic prescriptions (DP) are an effective and safe strategy for reducing unnecessary antibiotic consumption but its use is controversial.
We conducted a realist review to ask why, how, and in what contexts general practitioners (GPs) use DP. We searched five electronic databases for relevant articles and included DP-related data from interviews with healthcare professionals in a related study. Data were analysed using a realist theory-driven approach - theorising which context(s) influenced (mechanisms) resultant outcome(s) (context-mechanism-outcome-configurations: CMOCs).
Data were included from 76 articles and 41 interviews to develop a program theory comprising nine key and 56 related CMOCs. These explain the reasons for GPs' tolerance of risk to different uncertainties and how these may interact with GPs' work environment, self-efficacy and perceived patient concordance to make using DP as a safety-net or social tool more or less likely, at a given time-point. For example, when a GP uses clinical scores or diagnostic tests: a clearly high or low score/test result may mitigate scientific uncertainty and lead to an immediate or no antibiotic decision; an intermediary result may provoke hermeneutic (interpretation-related) uncertainty and lead to DP becoming preferred and used as a safety net. Our program theory explains how DP can be used to mitigate some uncertainties but also provoke or exacerbate others.
This review explains how, why and in what contexts GPs are more or less likely to use DP, as well as various uncertainties GPs face which DP may mitigate or provoke. We recommend that efforts to plan and implement interventions to optimise antibiotic prescribing in primary care consider these uncertainties and the contexts when DP may be (dis)preferred over other interventions to reduce antibiotic prescribing. We also recommend the following and have included example activities for: (i) reducing demand for immediate antibiotics; (ii) framing DP as an 'active' prescribing option; (iii) documenting the decision-making process around DP; and (iv) facilitating social and system support.
抗菌药物耐药性是全球患者安全的重点,而不适当的抗菌药物使用是一个关键的促成因素。有证据表明,延迟(后备)抗生素处方(DP)是减少不必要的抗生素使用的有效和安全策略,但它的使用存在争议。
我们进行了一项真实主义综述,以了解全科医生(GP)使用 DP 的原因、方式和背景。我们在五个电子数据库中搜索了与 DP 相关的文章,并纳入了相关研究中对医疗保健专业人员进行的访谈中有关 DP 的数据。使用真实主义理论驱动的方法对数据进行分析 - 对影响(机制)结果(结果)(上下文-机制-结果配置:CMOC)的上下文进行理论化。
从 76 篇文章和 41 次访谈中纳入数据,以制定一个包含 9 个关键和 56 个相关 CMOC 的方案理论。这些解释了 GP 对不同不确定性的风险容忍度的原因,以及这些不确定性如何与 GP 的工作环境、自我效能感和感知到的患者一致性相互作用,使得在特定时间点,DP 作为安全网或社交工具的使用更有可能或更不可能。例如,当 GP 使用临床评分或诊断测试时:一个明显的高或低评分/测试结果可能减轻科学不确定性,并导致立即或不使用抗生素的决策;一个中间结果可能引发解释性(解释相关)不确定性,并导致 DP 成为首选并用作安全网。我们的方案理论解释了 DP 如何用于减轻一些不确定性,但也可能引发或加剧其他不确定性。
本综述解释了 GP 更有可能或更不可能使用 DP 的原因、方式和背景,以及 DP 可能减轻或引发的各种不确定性。我们建议,在规划和实施旨在优化初级保健中抗生素处方的干预措施时,应考虑这些不确定性以及 DP 可能优于其他干预措施来减少抗生素处方的情况。我们还建议以下内容,并包括了以下示例活动:(i)减少对立即使用抗生素的需求;(ii)将 DP 框定为“主动”处方选择;(iii)记录 DP 决策过程;(iv)促进社会和系统支持。