{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kim H"],"funding":["NICHD NIH HHS","Administration for Children and Families","National Institute of Child Health and Human Development"],"pagination":["107262"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12853404"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["161"],"pubmed_abstract":["<h4>Background</h4>The 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.<h4>Objective</h4>To explore benefits of RAPIDS data in understanding CMR outcomes.<h4>Participants and setting</h4>Children aged 0-10 years with CMRs in 2018 (N = 2,371,119).<h4>Methods</h4>Using 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.<h4>Results</h4>RAPIDS data improved model performance across all outcomes, with greater gains for future outcomes. Overall model fit (Tjur's R<sup>2</sup>) increased for substantiation (11.75 % → 12.53 %), FC entry (4.17 % → 6.38 %), rereport (0.94 % → 4.99 %), substantiated rereport (1.04 % → 3.31 %), and future FC entry (0.85 % → 2.51 %). Predictive performance also improved: at 80 % sensitivity, specificity increased for substantiation (54 % → 56 %), FC entry (52 % → 58 %), rereport (27 % → 36 %), substantiated rereport (33 % → 42 %), and future FC entry (37 % → 49 %). Additionally, RAPIDS data enabled analysis of a wider array of predictors and their associations with outcomes, fully utilizing national longitudinal CMR and FC records.<h4>Conclusions</h4>RAPIDS 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."],"journal":["Child abuse & neglect"],"pubmed_title":["Benefits of longitudinally linked national records of child maltreatment report and foster care."],"pmcid":["PMC12853404"],"funding_grant_id":["P50 HD096719"],"pubmed_authors":["Hollinshead D","Fluke J","Wilson R","Orsi-Hunt R","Jonson-Reid M","Kim H","Drake B","Ahn E","Jones D"],"additional_accession":[]},"is_claimable":false,"name":"Benefits of longitudinally linked national records of child maltreatment report and foster care.","description":"<h4>Background</h4>The 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.<h4>Objective</h4>To explore benefits of RAPIDS data in understanding CMR outcomes.<h4>Participants and setting</h4>Children aged 0-10 years with CMRs in 2018 (N = 2,371,119).<h4>Methods</h4>Using 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.<h4>Results</h4>RAPIDS data improved model performance across all outcomes, with greater gains for future outcomes. Overall model fit (Tjur's R<sup>2</sup>) increased for substantiation (11.75 % → 12.53 %), FC entry (4.17 % → 6.38 %), rereport (0.94 % → 4.99 %), substantiated rereport (1.04 % → 3.31 %), and future FC entry (0.85 % → 2.51 %). Predictive performance also improved: at 80 % sensitivity, specificity increased for substantiation (54 % → 56 %), FC entry (52 % → 58 %), rereport (27 % → 36 %), substantiated rereport (33 % → 42 %), and future FC entry (37 % → 49 %). Additionally, RAPIDS data enabled analysis of a wider array of predictors and their associations with outcomes, fully utilizing national longitudinal CMR and FC records.<h4>Conclusions</h4>RAPIDS 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.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2026-06-14T05:59:45.295Z","creation":"2026-06-14T03:14:55.174Z"},"accession":"S-EPMC12853404","cross_references":{"pubmed":["39837168"],"doi":["10.1016/j.chiabu.2025.107262"]}}