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A framework for strengthening realist synthesis and evaluation by integrating behavioural science

Dados Bibliográficos

ID12567255
AutoresJustin Aunger (0000-0001-6975-4570, University of Birmingham, autor correspondente), Robert Aunger (0000-0001-8136-9376, Department of Disease Control, London School of Hygiene and Tropical Medicine, London, UK)
Ano2026
Data de publicação2026-02-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEvaluation (JOURNAL)
Identificadores do periódicoISSN: 1356-3890 • E-ISSN: 1461-7153
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/13563890251409726
OpenAlexW7129330732
IdiomaEN
Referências citadas49

Understanding the mechanisms and contexts that drive the success of complex health interventions remains a challenge. Realist methods, grounded in scientific realism, generate context-sensitive programme theories to explain how, why and for whom interventions work, but these theories often lack structured operationalisation to inform comparison or intervention design. Behavioural science, by contrast, systematically identifies and modifies behaviour change mechanisms using theory-driven frameworks, but has been criticised for insufficiently considering context. Integrating these may enhance the precision, standardisation and applicability of realist programme theories. This novel approach leverages behavioural science concepts such as behaviour change techniques and mechanisms of action to clarify mechanisms, and uses the idea of behavioural settings to explicate context. Together, this establishes a common language for programme theory formulation, making them more structured, testable and transferable. A five-step framework for integration is proposed for realist studies, facilitating more precise and transferable theories that support intervention design and policy translation

Action (physics · Behaviour change · Behavioural economics · Behavioural sciences · Critical realism (philosophy of perception · Intervention (counseling · Psychological intervention · Theory of change · Advanced Causal Inference Techniques · Behavioral Health and Interventions · Health Policy Implementation Science

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