376
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Developing and Validating a Predictive Risk Model for Youth Placement in Residential Care to Support Decision-Making under the Family First Prevention Services Act

ORCID Icon, ORCID Icon &
Pages 324-347 | Published online: 17 Aug 2022
 

ABSTRACT

Under the Family First Prevention Services Act, federal Title IV-E claiming requirements for youth who are placed in Qualified Residential Treatment Programs (QRTPs) are more stringent than previous criteria for residential care. Independent Qualified Individuals are required to assess the appropriateness of QRTP placements and judicial reviews must formally approve these placements. Child welfare agencies can use administrative data and empirical methods to adapt to these changes from a prevention standpoint. The current study detailed an approach for developing and validating a Cox proportional-hazards model predicting time-to-first placement in residential care among 43,770 legal spells for youth under the care of one large Midwest child welfare agency. Internal validation using 200 bootstrap resamples yielded stable predictors consistent with those in the literature, strong discriminative ability, and high prediction accuracy. External validation applied the model to examine the risk of residential care placement in the first 90 days of youth’s legal spells. This proactive risk prediction encapsulates a preventive approach preceding the 90-day timeline of QRTP assessment and court review. Results suggest that robust prediction of existing practice of residential care placement has the potential to inform caseworker-level service and placement planning, and build system-level capacity for residential and community-based care.

Acknowledgments

This study does not reflect the views of the Illinois Department of Children and Family Services(DCFS).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This was part of a larger study supported by DCFS.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 384.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.