This study uses a predictive modeling approach to identify factors related to well-being outcomes for women who give birth while receiving TANF, and outcomes for their babies. We found that models using linked administrative data could adequately predict two outcomes of interest: infant out-of-home placement within the first year of life and the mother’s use of the emergency department in the 12 months following the birth. This report discusses the findings from the predictive models and makes recommendations on how they can inform prevention and case management services.
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Related Publications:
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