Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, Oxfordshire, UK
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, Oxfordshire, UK.
BMJ Open. 2020 Dec 17;10(12):e039284. doi: 10.1136/bmjopen-2020-039284.
While various interventions have helped reduce antibiotic prescribing, further gains can be made. This study aimed to identify ways to optimise antimicrobial stewardship (AMS) interventions by assessing the extent to which important influences on antibiotic prescribing are addressed (or not) by behavioural content of AMS interventions.
English primary care.
AMS interventions targeting healthcare professionals' antibiotic prescribing for respiratory tract infections.
We conducted two rapid reviews. The first included qualitative studies with healthcare professionals on self-reported influences on antibiotic prescribing. The influences were inductively coded and categorised using the Theoretical Domains Framework (TDF). Prespecified criteria were used to identify key TDF domains. The second review included studies of AMS interventions. Data on effectiveness were extracted. Components of effective interventions were extracted and coded using the TDF, Behaviour Change Wheel and Behaviour Change Techniques (BCTs) taxonomy. Using prespecified matrices, we assessed the extent to which BCTs and intervention functions addressed the key TDF domains of influences on prescribing.
We identified 13 qualitative studies, 41 types of influences on antibiotic prescribing and 6 key TDF domains of influences: 'beliefs about consequences', 'social influences', 'skills', 'environmental context and resources', 'intentions' and 'emotions'. We identified 17 research-tested AMS interventions; nine of them effective and four nationally implemented. Interventions addressed all six key TDF domains of influences. Four of these six key TDF domains were addressed by 50%-67% BCTs that were theoretically congruent with these domains, whereas TDF domain skills' was addressed by 24% of congruent BCTs and 'emotions' by none.
Further improvement of antibiotic prescribing could be facilitated by: (1) national implementation of effective research-tested AMS interventions (eg, electronic decision support tools, training in interactive use of leaflets, point-of-care testing); (2) targeting important, less-addressed TDF domains (eg, skills, 'emotions); (3) using relevant, under-used BCTs to target key TDF domains (eg, 'forming/reversing habits', 'reducing negative emotions', 'social support'). These could be incorporated into existing, or developed as new, AMS interventions.
虽然各种干预措施已有助于减少抗生素的处方量,但仍有进一步改善的空间。本研究旨在通过评估抗生素管理(AMS)干预措施的行为内容在多大程度上解决(或未解决)对抗生素处方的重要影响,从而确定优化 AMS 干预措施的方法。
英国初级保健。
针对医疗保健专业人员治疗呼吸道感染时开具抗生素处方的 AMS 干预措施。
我们进行了两项快速回顾。第一项包括针对医疗保健专业人员的关于对抗生素处方影响的自我报告的定性研究。使用理论领域框架(TDF)对影响因素进行归纳编码和分类。使用预设标准来确定关键 TDF 领域。第二项综述包括 AMS 干预措施的研究。提取了有效性数据。使用 TDF、行为改变轮和行为改变技术(BCT)分类法提取并编码有效的干预措施的组成部分。使用预设矩阵评估 BCT 和干预功能在多大程度上解决了处方影响的关键 TDF 领域。
我们确定了 13 项定性研究、41 种对抗生素处方的影响因素和 6 个关键 TDF 领域的影响因素:“对后果的信念”、“社会影响”、“技能”、“环境背景和资源”、“意图”和“情绪”。我们确定了 17 种经过研究测试的 AMS 干预措施;其中 9 种是有效的,4 种是在全国范围内实施的。干预措施涉及所有 6 个关键 TDF 领域的影响。其中 4 个关键 TDF 领域的影响因素有 50%-67%的理论上与之一致的 BCT 来解决,而 TDF 领域的技能仅由 24%的一致 BCT 来解决,情绪则没有。
进一步改善抗生素处方可通过以下方式实现:(1)在全国范围内实施有效的经研究测试的 AMS 干预措施(例如,电子决策支持工具、交互式使用传单培训、即时检测);(2)针对重要的、解决较少的 TDF 领域(例如,技能、“情绪”);(3)使用相关的、未充分利用的 BCT 来针对关键 TDF 领域(例如,“形成/改变习惯”、“减少负面情绪”、“社会支持”)。这些可以纳入现有的 AMS 干预措施,或开发新的 AMS 干预措施。