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Objectives
In this study we aimed to describe and compare groups formed by a rules‐based algorithm to prospectively identify clients at risk of poor outcomes in order to guide tailored public health nursing (PHN) intervention approaches.
Design
Data‐driven methods using standardized Omaha System PHN documentation.
Sample
Clients ages 13–40 who received PHN home visiting services for both the...