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When assessing generalisability, focusing on differences in population or setting alone is insufficient.
Helen E D Burchett1, Dylan Kneale2, Laurence Blanchard3
1Faculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, London, UK. helen.burchett@lshtm.ac.uk.
Trials
|March 22, 2020
Summary
Assessing intervention generalisability requires focusing on mechanism of action, not just population differences. New research methods are needed to understand how interventions achieve effects in diverse settings.
Area of Science:
- Health Services Research
- Implementation Science
- Program Evaluation
Background:
- Current generalisability assessments in evaluation articles are insufficient for determining intervention applicability in new contexts.
- Existing tools for assessing generalisability are complex and infrequently utilized, hindering practical application.
- There is a need for a novel approach to evaluating intervention generalisability beyond superficial population and setting characteristics.
Discussion:
- Shifting focus from generic characteristics to an intervention's mechanism of action is crucial for understanding its effectiveness.
- Evaluating 'how' or 'why' an intervention works provides deeper insights into its potential for replication.
- This mechanism-focused approach enhances the utility of evaluation research for real-world implementation.
Key Insights:
- Outcome evaluations should integrate programme theory to elucidate causal pathways.
- Process evaluations must prioritize understanding the mechanism of action over merely documenting activities.
- Scoping studies in new settings are essential for adapting identified mechanisms to local contexts.
- Innovative synthesis methods are required to uncover mechanisms of action from existing data, especially when process evaluations are scarce.
Outlook:
- This paradigm shift promises more robust and actionable evidence for intervention scale-up and adaptation.
- Future research should prioritize developing and applying methods that reveal intervention mechanisms.
- Enhanced understanding of mechanisms will improve the reliability and validity of generalisability assessments.
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