Rigorous realist-informed synthesis for urgent policy decisions.
Project · Methods
Methodological innovations across realist methods and behavioural science.
Making explanations of complex change more precise, testable and useful, while adapting rigorous synthesis to real policy timescales.
Realist methods generate context-sensitive programme theories that explain how, why and for whom complex health interventions work — but these theories often lack structured operationalisation to inform comparison or intervention design. Behavioural science systematically identifies and modifies behaviour change mechanisms using theory-driven frameworks, but has been criticised for insufficiently considering context. My work brings the two together: using behaviour change techniques and mechanisms of action to clarify mechanisms, and behavioural settings to explicate context, I have proposed a five-step framework for integration that gives programme theories a common language — making them more structured, testable and transferable, and better able to support intervention design and policy translation.
I have also applied this behavioural lens empirically, systematically coding 44 interventions to reduce unprofessional behaviour between healthcare staff against the 284-technique Behaviour Change Technique Ontology — demonstrating that the ontology is broadly applicable to organisational behaviour change in healthcare, and showing that complex interventions rely on consequence-based and goal-oriented techniques.
A second strand tackles speed. Policymakers and regulators often need rigorous evidence within timeframes academics consider unworkable. The Accelerated Parallelised Realist-Informed Literature review (APRIL) is a nine-step method I developed for delivering a realist review in under one month, originally for the Care Quality Commission. It achieves its rapidity through parallelised review processes, highly purposive but still systematic searching, and theory-informed data extraction. Its first application — a four-week review of adult community mental health services in England spanning 81 sources — produced an initial programme theory of how a system under stress can generate conditions that undermine good practice, increasing risk and ultimately harm. What that review found about community mental health services, and the second application of APRIL to policy support for military families, are covered on the other research areas page.
This methodological work is gaining recognition: I have been invited to guest-edit a special collection, "Advances in Qualitative and Mixed Methods Methodology for Realist Evaluation and Synthesis", at the International Journal of Qualitative Methods, and to record a podcast for 'Realist Lens' coming later in 2026.
Evidence at a glance
In the first four-week community mental health application.
Community mental health and policy support for military families.
Outputs
Publications so far
Engagement
Recognition & presentations
- 2026Invited special collection guest editor, "Advances in Qualitative and Mixed Methods Methodology for Realist Evaluation and Synthesis"International Journal of Qualitative Methods
- 2026Invited podcast guest, 'Realist Lens'Coming later in 2026
- Apr 2026Oral presentation, HCSRN conferenceDallas, TX, USA
- Sep 2025Oral presentation — "Can we create stronger programme theories? The case for integrating behavioural science and realist methods"International Conference for Realist Research, Evaluation, and Synthesis — Atlanta, GA, USA
Continue exploring
See the methods applied to live organisational and policy questions.
Adult community mental health for the CQC
A four-week review designed around a regulatory decision.
→ Behaviour changeInterventions for safer NHS cultures
Realist and behavioural evidence working together.
→ CollaborateBring a complex question
Discuss realist research, rapid synthesis or behavioural analysis.
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