Logic models feature prominently in intervention research yet there is increasing debate about their ability to express how interventions work in the real-world. ‘Real-world’ logic models are a new proposition which express complex interventions in context. They are designed to help researchers strike a balance between context-sensitivity and scalability. This article explores the utility of real-world logic models in a trial involving a complex intervention called ‘Your Care Needs You’, designed to improve hospital-home transitions for UK older patients. The approach is found to usefully capture, refine and express important learning about intervention-implementation-context dynamics. The findings imply the need for intervention researchers to think creatively about how to implement interventions in diverse and sometimes challenging environments and to develop understanding of how complex interventions adapt on implementation to produce outcomes. The possibility of assessing the wider social and policy context within intervention research is also posed.

逻辑模型在干预研究中占有突出地位，但关于它们表达干预如何在现实世界中发挥作用的能力的争论越来越多。“真实世界”逻辑模型是一个新命题，它在上下文中表达了复杂的干预。它们旨在帮助研究人员在上下文敏感性和可扩展性之间取得平衡。本文探讨了现实世界逻辑模型在一项试验中的效用，该试验涉及一种称为“您的护理需要您”的复杂干预措施，旨在改善英国老年患者的医院与家庭之间的过渡。发现该方法可以有效地捕捉、改进和表达关于干预-实施-背景动态的重要学习。研究结果表明，干预研究人员需要创造性地思考如何在多样化且有时具有挑战性的环境中实施干预，并了解复杂的干预如何适应实施以产生结果。还提出了在干预研究中评估更广泛的社会和政策背景的可能性。