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ABSTRACT: Background
Population-based risk prediction tools exist for individual chronic diseases. From a population health perspective, studying chronic diseases together provides a comprehensive view of the burden of disease in the population. Thus, public health officials and health policymakers would benefit from a prediction tool that measures the incidence of chronic diseases compositely. This study protocol proposes the development and validation of the Chronic Disease Population Risk Tool (CDPoRT) that will predict the incidence of six chronic diseases in the population setting using multivariable modeling techniques.Methods
CDPoRT will be built using population-based responses to the first six cycles of the Canadian Community Health Survey linked to health administrative dat
SUBMITTER: Ng R
PROVIDER: S-EPMC6460781 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature