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Early Identification of Children At Risk for Costly Mental Health Service Use
Open accessAbstract
Children and adolescents with serious and persistent conduct problems often require large public expenditures. Successfully diverting one high risk child from unfortunate outcomes may result in a net savings to society of nearly $2 million, not to mention improving the life of that child and his or her family. This figure highlights the potential of prevention, which often rests on the ability to identify these children at a young age. This study examined the ability of a short conduct-problems screening procedure to predict future need for mental health assistance, special education services, and the juvenile justice system during elementary school ages. The screen was based on teacher and parent report of child behavioral habits in kindergarten, and was used to identify children as either at risk or not at risk for behavioral problems. Service outcomes were derived from a service-use assessment administered to parents at the end of the sixth grade, while special education information was gathered through a survey of school records. Study participants (463 kindergarten children; 54% male, 44% African American) were from economically disadvantaged neighborhoods in four diverse communities across the United States. Results indicated that, while controlling for demographic background variables, the risk indicator strongly predicted which children would require services related to conduct disorder or behavioral/emotional problems. Additional analyses revealed that the dichotomou…
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Problems in behavioral, social-emotional, and/or on-task learning domains predict future mental health disorders, substance abuse problems and need for services.
“This population was selected due to evidence that those problems predict future mental health disorders, substance abuse problems and need for services (Jones et al. 2002)”
From Intervention to Strengthen Emotional Self-Regulation in Children with Emerging Mental Health Problems: Proximal Impact on School Behavior (2010) · cites this paper as Jones et al. 2002
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Metadata
- Authors
- Jones, D., Dodge, K. A., Foster, E. M., Nix, R., & Conduct Problems Prevention Research Group
- Affiliations
- Vanderbilt University (US)
- Duke University (US)
- Corresponding author
- Jones, Damon
- ORCID
- Dodge, Kenneth A.
- Venue
- Prevention Science
- Published
- 2002-12
- Volume
- 3
- Issue
- 4
- Pages
- 247-256
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- PMC
- PMC2774114
- OpenAlex
- W1884107396
- Cited by
- 85
- References
- 28
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 4 · 2021: 8 · 2020: 3 · 2019: 5 · 2018: 3 · 2017: 2 · 2016: 7 · 2015: 5 · 2014: 6 · 2013: 3 · 2012: 4
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R18MH050951, R01MH048043, K05MH000797, R18MH048043, R18MH050953, K05MH001027, R18MH050952)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- conduct problems, early detection, screening, vulnerable children, mental health service utilization, special education services, juvenile justice system involvement, conduct disorder, emotional and behavioral problems, kindergarten children, prevention, elementary school
- MeSH terms
- Adolescent, Child, Female, Humans, Longitudinal Studies, Male, Mental Health Services, Risk Factors, Sex Factors, United States, Outcome Assessment, Health Care, Risk Assessment, Conduct Disorder
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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