Abstract
Logic models are increasingly central to intervention research and improvement science in healthcare but there is debate about whether they are suitable for complex, adaptive interventions. This paper explores the utility of a recently emerging proposition, real-world logic models, using two qualitative case studies. These flexible, dynamic logic models, it is argued, can help researchers to strike a balance between context-sensitivity and scalability through enhanced understanding of intervention-system dynamics. An implication is that logic modelling is a fundamentally creative endeavour.
Original language | English |
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Publication status | Published - Oct 2019 |
Event | Improving Patient Safety Conference - Duration: 1 Oct 2019 → … |
Conference
Conference | Improving Patient Safety Conference |
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Period | 1/10/19 → … |
Keywords
- Logic models, complexity, process evaluation