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Evidence-Based Public Health: Moving Beyond Randomized Trials
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Citations
19
References
2004
Year
Public Health InterventionsEvidence-based InterventionTreatment EffectCausal ChainCausal InferencePreventive MedicineClinical Trial EvaluationClinical TrialsRandomized Controlled TrialEvidence-based Public HealthPublic HealthCausal ChainsHealth PolicyOutcomes ResearchEpidemiologyClinical EffectivenessReal World EvidenceDrug TrialMedicineEvidence-based PracticeClinical Trial Design
RCTs are essential for evaluating clinical interventions, but their short causal chains limit applicability to complex public health interventions, where observational studies with adequacy or plausibility designs can enhance internal and external validity, especially for large‑scale programs. The study calls for developing evaluation standards and protocols for circumstances where RCTs are inappropriate.
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.
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