Book contents
- Realist Trials and Systematic Reviews
- Reviews
- Realist Trials and Systematic Reviews
- Copyright page
- Contents
- Figures
- Tables
- Boxes
- Acknowledgements
- Chapter 1 Introduction
- Chapter 2 Why Are Trials and Systematic Reviews Necessary but Currently Insufficient to Inform Health Policy?
- Chapter 3 Realist Critiques and Manifesto for Evaluation and Reviews
- Chapter 4 Building Realist Theory in Evaluations
- Chapter 5 Refining Realist Theory through Process Evaluations
- Chapter 6 Testing Realist Theory through Trials or Other Evaluation Designs
- Chapter 7 Building and Refining Realist Theory in Systematic Reviews
- Chapter 8 Testing Realist Theory through Synthesising Outcome Evaluations
- Chapter 9 Using Evidence to Inform Intervention Scale-Up and Transfer
- Chapter 10 Using Evidence to Refine Middle Range Theory
- Conclusion
- References
- Index
Chapter 7 - Building and Refining Realist Theory in Systematic Reviews
Published online by Cambridge University Press: 08 February 2024
- Realist Trials and Systematic Reviews
- Reviews
- Realist Trials and Systematic Reviews
- Copyright page
- Contents
- Figures
- Tables
- Boxes
- Acknowledgements
- Chapter 1 Introduction
- Chapter 2 Why Are Trials and Systematic Reviews Necessary but Currently Insufficient to Inform Health Policy?
- Chapter 3 Realist Critiques and Manifesto for Evaluation and Reviews
- Chapter 4 Building Realist Theory in Evaluations
- Chapter 5 Refining Realist Theory through Process Evaluations
- Chapter 6 Testing Realist Theory through Trials or Other Evaluation Designs
- Chapter 7 Building and Refining Realist Theory in Systematic Reviews
- Chapter 8 Testing Realist Theory through Synthesising Outcome Evaluations
- Chapter 9 Using Evidence to Inform Intervention Scale-Up and Transfer
- Chapter 10 Using Evidence to Refine Middle Range Theory
- Conclusion
- References
- Index
Summary
Most systematic reviews concentrate on pooling effect estimates from multiple trials from different contexts, as though there were one underlying effect that can be uncovered by pooling. They often fail to examine mechanisms and how these might interact with context to generate different outcomes in different settings and populations. Realist reviews do focus on questions of what works for whom under what conditions but do not use rigorous methods to search for, appraise the quality of and synthesise evidence to answer these questions. We show how systematic reviews can explore more nuanced questions informed by realism while retaining rigour. Using the example of a systematic review of school-based interventions to prevent dating and other gender-based violence, we first examine how systematic reviews can define context–mechanism–outcome configurations. This can occur through synthesis of intervention descriptions, theories of change and process evaluations.
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- Information
- Realist Trials and Systematic ReviewsRigorous, Useful Evidence to Inform Health Policy, pp. 66 - 72Publisher: Cambridge University PressPrint publication year: 2024