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Predicting the effectiveness of prevention: a role for epidemiological modeling
journal contributionposted on 2008-07-01, 00:00 authored by H L Walls, Anna PeetersAnna Peeters, C M Reid, D Liew, J J McNeil
It is well known that the current combination of aging populations and advances in health technology is resulting in burgeoning health costs in developed countries. Prevention is a potentially important way of containing health costs. In an environment of intense cost pressures, coupled with developments in disease prevention and health promotion, it is increasingly important for decision-makers to have a systematic, coordinated approach to the targeting and prioritization of preventive strategies. However, such a systematic approach is made difficult by the fact that preventive strategies need to be compared over the long term, in a variety of populations, and in real life settings not found in most trials. Information from epidemiological models can provide the required evidence base. In this review, we outline the role of epidemiological modeling in this context and detail its application using examples. Editors' Strategic Implications: Policymakers and researchers will benefit from this description of the utility of epidemiological modeling as a means of generating translational evidence that helps to prioritize data-based prevention approaches and bridge the gap between clinical research and public health practice.
JournalJournal of primary prevention
Pagination295 - 305
LocationNew York, N.Y.
Publication classificationC Journal article; C1.1 Refereed article in a scholarly journal
Copyright notice2008, Springer Science+Business Media, LLC
CategoriesNo categories selected
Epidemiologic MethodsHealth Care CostsHealth PolicyHealth PrioritiesHumansOutcome Assessment (Health Care)Primary PreventionScience & TechnologyLife Sciences & BiomedicinePublic, Environmental & Occupational HealthEpidemiological modellingPreventionPrioritisationCORONARY-HEART-DISEASECOST-EFFECTIVENESSDRUG-THERAPYRISKMORTALITYSMOKINGSTATINSTRIALSHEALTHPOLICY