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Evidence-Based Public Health: Moving Beyond Randomized Trials

American Journal of Public Health · 2004 · Vol. 94(3) · pp. 400–405
César G. VictoraJean‐Pierre HabichtJennifer Bryce

Abstract

Randomized controlled trials (RCTs) are essential for evaluating the efficacy of clinical interventions, where the causal chain between the agent and the outcome is relatively short and simple and where results may be safely extrapolated to other settings. However, causal chains in public health interventions are complex, making RCT results subject to effect modification in different populations. Both the internal and external validity of RCT findings can be greatly enhanced by observational studies using adequacy or plausibility designs. For evaluating large-scale interventions, studies with plausibility designs are often the only feasible option and may provide valid evidence of impact. There is an urgent need to develop evaluation standards and protocols for use in circumstances where RCTs are not appropriate.

Food Security and Health in Diverse PopulationsAdvanced Causal Inference TechniquesHealth Systems, Economic Evaluations, Quality of LifeObservational studyRandomized controlled trialPsychological interventionExternal validityInternal validityMedicinePublic healthCausal chainPublic health interventionsScale (ratio)

MeSH terms

Decision MakingHumansReproducibility of ResultsEpidemiologic Research DesignPublic Health PracticeCausalityEffect Modifier, EpidemiologicRandomized Controlled Trials as TopicEvidence-Based Medicine
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