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Journal Article

Citation

Green MJ, Kariuki M, Chilvers M, Butler M, Katz I, Burke S, Tzoumakis S, Laurens KR, Harris F, Carr VJ. Child Abuse Negl. 2019; 93: 91-102.

Affiliation

School of Psychiatry, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia; Department of Psychiatry, Monash University, Melbourne, Australia.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.chiabu.2019.04.013

PMID

31075574

Abstract

BACKGROUND: Cross-agency administrative data can improve cost-effective triage systems for child protection and other human service delivery.

OBJECTIVE: To determine the minimum set of cross-agency indicators that could accurately classify placement in out-of-home-care (OOHC) before age 13-14 years. PARTICIPANTS AND SETTING: Participants were 72,079 Australian children (mean age = 13.16 years; SD = 0.37; 51.4% male) and their parents, for whom linked administrative records spanning the years 1994-2016 were available for analysis within the 'New South Wales Child Development Study'.

METHODS: First, a series of logistic regression analyses were conducted to examine associations between cross-agency (health, justice, education) risk indicators and membership of the sub-cohort of 1239 children who had an OOHC placement prior to age 13-14 years, relative to (1) the sub-cohort of 55,473 children who had no previous contact with child protection services, and (2) the sub-cohort of 15,367 children who had been reported to child protection services but had no record of OOHC placement. We then explored the classification characteristics associated with a smaller combination of risk factors, and the utility of specific familial risk factors, for classifying membership of the OOHC subgroup.

RESULTS: A combination of six risk indicators evident before OOHC placement can classify children placed in OOHC with approximately 95% accuracy, and the presence of at least four of these risk indicators provides excellent specificity (99.6%).

CONCLUSIONS: A combination of risk factors observable in administrative datasets held by multiple government agencies may be used to target support services to prevent entry into OOHC for children from vulnerable families.

Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.


Language: en

Keywords

Child protection; Criminal offending; Mental illness; OOHC; Record linkage; Vulnerable families

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