Annual Review of Public Health · 2019 · 366 citations · 29 references
Public AffairsHealth PolicyPublic PolicyImplementation ScienceOutcomes ResearchPublic Health PolicyEvidence-based InterventionsHealth Program ManagementHealth Program PlanningImplementation OutcomesTheory Of ChangeTranslating Evidence Into PracticeEvidence Informed PolicyHealth Evidence SynthesisHealth Program ImplementationImplementation TheoryRealist SynthesisReview MethodologyTheories Of Evidence
Realist synthesis is a literature review method that seeks to understand how, for whom, and under what circumstances complex public health interventions function, acknowledging that program effects evolve over time, vary across contexts, and are often beyond direct empirical measurement. Using a context‑mechanism‑outcome configuration, realist synthesis generates evidence‑informed theories about how intervention mechanisms interact with implementation contexts. By scrutinizing relevant theories and enhancing conceptualization of complex outcomes, realist synthesis de‑prioritizes evidence hierarchies and leverages diverse data sources to generate causal understanding, while the dynamic learning process can inspire new ideas for program development and innovation beyond what traditional evidence‑summation reviews achieve.
Realist synthesis is a literature review methodology for understanding how, for whom, and under what circumstances complex interventions function in complex environments. Using a heuristic called the context-mechanism-outcome (CMO) configuration, realist synthesis produces evidence-informed theories about the interactions between intervention mechanisms and their implementation contexts. Public health interventions and their effects unfold over time and develop differently in different contexts. Much of what causes programs to function remains in a realm beyond empirical measurement. By scrutinizing the theories relevant to the interventions of interest, and by enhancing the conceptualization of complex outcomes, the realist approach deprioritizes evidence hierarchies and harnesses insights from diverse data sources to generate causal understanding. The dynamic learning process that can arise in conducting a realist synthesis may generate new ideas for program development and innovation apart from what can be achieved in reviews providing a summation and aggregation of quantified evidence.
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Process evaluation of complex interventions: Medical Research Council guidance
Gary F. Moore, Suzanne Audrey, Mary Barker et al. · BMJ · 2015 · 6.5K citations · Full text
Public Affairs, Health Policy, Comparative Effectiveness Research +9
Method in Social Science: A Realist Approach.
John Harp, Andrew Sayer · Contemporary Sociology A Journal of Reviews · 1986 · 2.6K citations
Humanities, Philosophy, Epistemology +14
Caroline Whitbeck, Roy Bhaskar · The Philosophical Review · 1977 · 1.6K citations
Humanities, Philosophy, Epistemology +11