Résumé :
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[BDSP. Notice produite par INIST wd4R0xES. Diffusion soumise à autorisation]. Objectives-To identify different types of dilution bias in population-based interventions and to suggest measures for handling these methodological problems. Design-Literature review plus analysis of data from a population-based intervention against cardiovascular disease in a Swedish municipality. Main results-The effects of an intervention on mortality and morbidity were much more diluted by non-intervening factors, dissemination to areas outside the intervention area, social diffusion, population mobility and time than by using intermediate outcome measures. Conclusions-Theoretically, changes in scientifically well documented risk factors, for example, intermediate outcome measures, should be preferred to using morbidity or mortality as outcome measures.
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