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Published on: September 20, 2019
Can "realist" randomised controlled trials be genuinely realist?
Sara Van Belle1, Geoff Wong2, Gill Westhorp3
1Department of Public Health, Institute of Tropical Medicine, Nationalestraat 155, B-2000, Antwerp, Belgium. svanbelle@itg.be.
This paper critiques the realist randomized controlled trial (RCT) design, arguing it fails to capture complex causal mechanisms essential for genuine scientific realism. The proposed design inadequately unpacks interventions and their interplay with context and actors.
Area of Science:
- Philosophy of Science
- Health Services Research
Background:
- Critiques the integration of realist evaluation with randomized controlled trials (RCTs).
- Highlights paradigmatic differences between post-positivist and realist logic regarding causation.
Discussion:
- Examines three core differences: construct of mechanism, mediator/moderator vs. mechanism/context relations, and variable-oriented vs. configurational analysis.
- Argues Jamal et al. treat mechanisms as observable treatments, reducing complex causality to variables.
Key Insights:
- The proposed realist RCT design cannot provide a truly realist understanding of interventions.
- Fails to unpack complex interventions or identify the dynamic interplay between intervention, actors, context, mechanisms, and outcomes.
Outlook:
- Realist research necessitates methods that capture the dynamic interplay of multiple factors.
- Further debate is needed on reconciling realist evaluation with rigorous research designs.
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