ArticleTrials2016
Realist trials and the testing of context-mechanism-outcome configurations: a response to Van Belle et al.
Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How and under what circumstances do quality improvement collaboratives lead to better outcomes? A systematic review.Implementation science : IS · 2020Pooled it
- A realist process evaluation within the Facilitating Implementation of Research Evidence (FIRE) cluster randomised controlled international trial: an exemplar.Implementation science : IS · 2018Trial
- Commentary - Community Involvement and Prevention Science in and with Communities - Where do we go next?Journal of prevention (2022) · 2025Article
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- Case study research for better evaluations of complex interventions: rationale and challenges.BMC medicine · 2020Article
- Distribution of hygiene kits during a cholera outbreak in Kasaï-Oriental, Democratic Republic of Congo: a process evaluation.Conflict and health · 2020Article
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Authors and funding
4 authors.
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Abstract
backgroundVan Belle et al. argue that our attempt to pursue realist evaluation via a randomised trial will be fruitless because we misunderstand realist ontology (confusing intervention mechanisms with intervention activities and with statistical mediation analyses) and because RCTs cannot comprehensively examine how and why outcome patterns are caused by mechanisms triggered in specific contexts.
methodsThrough further consideration of our trial methods, we explain more fully how we believe complex social interventions work and what realist evaluation should aim to do within a trial.
resultsLike other realists, those undertaking realist trials assume that: social interventions provide resources which local actors may draw on in actions that can trigger mechanisms; these mechanisms may interact with contextual factors to generate outcomes; and data in the 'empirical' realm can be used to test hypotheses about mechanisms in the 'real' realm. Whether or not there is sufficient contextual diversity to test such hypotheses is a contingent not a necessary feature of trials. Previous exemplars of realist evaluation have compared empirical data from intervention and control groups to test hypotheses about real mechanisms. There is no inevitable reason why randomised trials should not also be able to do so. Random allocation merely ensures the comparability of such groups without necessarily causing evaluation to lapse from a realist into a 'positivist' or 'post-positivist' paradigm.
conclusionsRealist trials are ontologically and epistemologically plausible. Further work is required to assess whether they are feasible and useful but such work should not be halted on spurious philosophical grounds.
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