Evidence map›Paper›PMID 39837168›Full record

ArticleChild abuse & neglect2025

Benefits of longitudinally linked national records of child maltreatment report and foster care.

Hyunil Kim, Rebecca Orsi-Hunt, Brett Drake, Dana Hollinshead, John Fluke, Dylan Jones, Rachel Wilson, Melissa Jonson-Reid, Eunhye Ahn

Abstract read
In one paragraph

Article in Child abuse & neglect, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hyunil KimSchool of Social Work, University of Illinois at Urbana-Champaign, United States of America. Electronic address: hyunil@illinois.edu.
Rebecca Orsi-HuntKempe Center for the Prevention and Treatment of Child Abuse & Neglect, University of Colorado Anschutz Medical Campus, United States of America.
Brett DrakeBrown School, Washington University in St. Louis, United States of America.
Dana HollinsheadKempe Center for the Prevention and Treatment of Child Abuse & Neglect, University of Colorado Anschutz Medical Campus, United States of America.
John FlukeKempe Center for the Prevention and Treatment of Child Abuse & Neglect, University of Colorado Anschutz Medical Campus, United States of America.
Dylan JonesBrown School, Washington University in St. Louis, United States of America.
Rachel WilsonKempe Center for the Prevention and Treatment of Child Abuse & Neglect, University of Colorado Anschutz Medical Campus, United States of America.
Melissa Jonson-ReidBrown School, Washington University in St. Louis, United States of America.
Eunhye AhnBrown School, Washington University in St. Louis, United States of America.

Funding

The Center for Innovation in Child Maltreatment Policy Research and Training (CICM) Community Engagement Core (CEC)P50HD096719 · NICHD · WASHINGTON UNIVERSITY · PI CONSTANTINO, JOHN N. · 2018 to 2022
$6.8M
NICHD NIH HHS P50 HD096719
6 · The paper itself

Abstract

backgroundThe Report and Placement Integrated Data System (RAPIDS) integrates two U.S. national data systems-NCANDS' child maltreatment report (CMR) records and AFCARS' foster care (FC) records-into a single longitudinal dataset spanning 2006-2021. This integration enables comprehensive child maltreatment analysis by linking the annual files from these previously separate systems.

objectiveTo explore benefits of RAPIDS data in understanding CMR outcomes. PARTICIPANTS AND

settingChildren aged 0-10 years with CMRs in 2018 (N = 2,371,119).

methodsUsing logistic regression, we modeled five outcomes: two current outcomes from 2018 index reports (substantiation and foster care entry) and three future outcomes within two years (re-report, substantiated re-report, and foster are entry). For each outcome, we compared models using only index report data without RAPIDS variables against models incorporating RAPIDS-enabled variables that capture longitudinal patterns across reports, placements, and siblings.

resultsRAPIDS data improved model performance across all outcomes, with greater gains for future outcomes. Overall model fit (Tjur's R

conclusionsRAPIDS data enhance explanatory power and predictive accuracy, enabling nationwide, longitudinal analysis of CMR and FC records and offering valuable insights into risk and protective factors.

Indexed as

Child AbuseFoster Home CareChildChild, PreschoolFemaleHumansInfantInfant, NewbornLogistic ModelsLongitudinal StudiesMaleUnited StatesAdoption and Foster Care Analysis and Reporting SystemChild maltreatment reportChild Protective ServicesFoster careNational Child Abuse and Neglect Data SystemReport And Placement Integrated Data System

Identifiers

PMID39837168
PMCPMC12853404

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.