Validating a Predictive Risk Model for Child Abuse and Neglect With Adolescent Outcomes.

Introduction: A predictive risk model (PRM) was trained to stratify risk among children investigated for alleged maltreatment based on the likelihood of future child protection involvement. In the current brief, we assess the model's ability to differentiate risk of adverse events not used to build...

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Publicado en:Journal of Adolescence Vol. 98; no. 6; pp. 2150 - 2155
Autores principales: Prindle, John, Ahn, Eunhye, Palmer, Lindsey, Eastman, Andrea Lane, Putnam‐Hornstein, Emily
Formato: Artículo
Publicado: Wiley-Blackwell Aug2026
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2026
      vid: 98
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      pub: Wiley-Blackwell
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        195930398
        10.1002/jad.70195
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        atl: Validating a Predictive Risk Model for Child Abuse and Neglect With Adolescent Outcomes.
      aug:
        au:
          Prindle, John
          Ahn, Eunhye
          Palmer, Lindsey
          Eastman, Andrea Lane
          Putnam‐Hornstein, Emily
        affil:
          University of Southern California, Los Angeles California,, USA
          University of Wisconsin‐Madison, Madison Wisconsin,, USA
          University of Utah, Salt Lake City Utah,, USA
          University of North Carolina at Chapel Hill, Chapel Hill North Carolina,, USA
      su:
        Arrest
        Adolescent development
        Mortality
        Child abuse
        Child welfare
        Prognostic models
        Random forest algorithms
      sug:
        subj:
          Arrest
          Adolescent development
          Mortality
          Child abuse
          Child welfare
          Prognostic models
          Random forest algorithms
      keyword:
        arrest
        dual system involvement
        juvenile justice
        predictive risk model
        probation supervised foster care
        risk assessment
        arrest
        dual system involvement
        juvenile justice
        predictive risk model
        probation supervised foster care
        risk assessment
      ab: Introduction: A predictive risk model (PRM) was trained to stratify risk among children investigated for alleged maltreatment based on the likelihood of future child protection involvement. In the current brief, we assess the model's ability to differentiate risk of adverse events not used to build the model (i.e., arrest, death) among adolescent populations investigated following reported maltreatment to guide prevention‐oriented services. Methods: Child welfare and vital statistics records were obtained through a data use agreement. Among adolescents born in 2000 and 2001 and investigated for alleged maltreatment between ages 11 and 17 (n = 72,340), risk scores were calculated using a random forest algorithm based on information available at the time of maltreatment report. The records of these adolescents were then linked to arrest and death records. Results: Among adolescents investigated for maltreatment, 5.8% experienced a juvenile arrest or death before age 21. Of those who experienced an arrest or death, 43.9% fell in the highest risk decile. Conclusions: A PRM trained to predict foster care placement had strong external validity in predicting both future arrests and deaths. The average time from investigation to adverse event indicates a meaningful window for interventions to be delivered focused on supporting and stabilizing adolescents and their families.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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