Impact of a family treatment court on child permanency and safety

Mersky, J., Lee, C. P., Liu, X., & Janczewski, C. (2023). Impact of a family treatment court on child permanency and safety. Child Abuse & Neglect, 146, 106512.

Abstract

Background

Family Treatment Courts have been linked to promising effects on key child welfare outcomes, though few rigorous program evaluations have been conducted.

Objective

This study employs a robust quasi-experimental design to evaluate effects associated with Family Treatment Court participation on child permanency and safety.

Participants and setting

The sample included 648 eligible adults who were referred to a Family Treatment Court in a Midwest metropolitan area, including 266 program participants and 382 non-participants.

Methods

Propensity score weighting was applied to match program and comparison groups on demographic and case characteristics. Child welfare records yielded safety and permanency outcomes. Participants and non-participants were compared following an intent-to-treat principle, with logistic regressions used to test the odds of reunification and maltreatment recurrence, and Kaplan-Meier analyses used to explore time to reunification and permanency. Moderation tests were performed to analyze differences in program impact across racial/ethnic groups and substance use types.

Results

Compared to non-participants, program participants were 81 % more likely to reunify. Group differences in time to reunification and permanency were mixed, and there was no evidence of program impact on maltreatment recurrence. Substance use type and race/ethnicity did not moderate associations between program participation and study outcomes.

Conclusions

Mounting evidence suggests that Family Treatment Courts are more effective than usual services in promoting family reunification, though it is unclear if these interventions hasten reunification or increase safety post-reunification. Rigorous evaluations are needed to explore moderating and mediating processes and identify implementation drivers and local conditions that contribute to heterogeneous results.

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