Files

Abstract

The use of predictive analytics can help health systems target the right services to the right patients at the right time, while improving population health. Multilevel data, or data at the interpersonal, organizational, community and policy levels, is rarely sought after but may be used to improve risk prediction by providing information about a patient and the many groups to which they belong. Colorectal cancer screening promotion can be expensive and not all patients need it. This study assessed the availability of multilevel data for use in a colorectal cancer screening risk prediction model in accordance with the Social-ecological Model (SEM) and assessed its ability to improve prediction over standard models based on individual level data.

Details

PDF

Statistics

from
to
Export
Download Full History