Abstract
Out-of-home placement decision-making in child welfare is founded on the best interest of the child in the least restrictive setting. After a child is removed from home, however, little is known about the mechanism of placement decision-making. This study aims to systematically examine the patterns of out-of-home placement decisions made in a state's child welfare system by comparing two models of placement decision-making: a multidisciplinary team decision-making model and a clinically based decision support algorithm. Based on records of 7816 placement decisions representing 6096 children over a 4-year period, hierarchical log-linear modeling characterized concordance or agreement, and discordance or disagreement when comparing the two models and accounting for age-appropriate placement options. Children aged below 16 had an overall concordance rate of 55.7%, most apparent in the least restrictive (20.4%) and the most restrictive placement (18.4%). Older youth showed greater discordant distributions (62.9%). Log-linear analysis confirmed the overall robustness of concordance (odd ratios [ORs] range: 2.9-442.0), though discordance was most evident from small deviations from the decision support algorithm, such as one-level under-placement in group home (OR= 5.3) and one-level over-placement in residential treatment center (OR= 4.8). Concordance should be further explored using child-level clinical and placement stability outcomes. Discordance might be explained by dynamic factors such as availability of placements, caregiver preferences, or policy changes and could be justified by positive child-level outcomes. Empirical placement decision-making is critical to a child's journey in child welfare and should be continuously improved to effect positive child welfare outcomes.
Original language | English |
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Pages (from-to) | 871-882 |
Number of pages | 12 |
Journal | Child Abuse and Neglect |
Volume | 37 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2013 |
Bibliographical note
Funding Information:This study was funded by the Illinois Department of Children and Family Services (IDCFS) . The authors would like to give special thanks to the Child and Youth Investment Teams (CAYIT), especially Teddy Savas and Lee Annes, for their invaluable insight and input.
Funding
This study was funded by the Illinois Department of Children and Family Services (IDCFS) . The authors would like to give special thanks to the Child and Youth Investment Teams (CAYIT), especially Teddy Savas and Lee Annes, for their invaluable insight and input.
Funders | Funder number |
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Illinois Department of Children and Family Services |
Keywords
- Child welfare
- Decision support algorithm
- Log-linear modeling
- Out-of-home placements
- Team decision-making
ASJC Scopus subject areas
- Pediatrics, Perinatology, and Child Health
- Developmental and Educational Psychology
- Psychiatry and Mental health