Abstract
Premature mortality is an important population health indicator used to assess health system functioning and to identify areas in need of health system intervention. Predicting the future incidence of premature mortality in the population can facilitate initiatives that promote equitable health policies and effective delivery of public health services. This study protocol proposes the development and validation of the Premature Mortality Risk Prediction Tool (PreMPoRT) that will predict the incidence of premature mortality using large population-based community health surveys and multivariable modeling approaches.
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CITATION STYLE
Rosella, L. C., O’Neill, M., Fisher, S., Hurst, M., Diemert, L., Kornas, K., … Manuel, D. G. (2020). A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT). Diagnostic and Prognostic Research, 4(1). https://doi.org/10.1186/s41512-020-00086-z
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