biostudies-literatureKim HNICHD NIH HHSAdministration for Children and FamiliesNational Institute of Child Health and Human Development107262https://www.ebi.ac.uk/biostudies/studies/S-EPMC12853404biostudies-literatureUnknown161<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 R²) 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.Child abuse & neglectBenefits of longitudinally linked national records of child maltreatment report and foster care.PMC12853404P50 HD096719Hollinshead DFluke JWilson ROrsi-Hunt RJonson-Reid MKim HDrake BAhn EJones DfalseBenefits of longitudinally linked national records of child maltreatment report and foster care.<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 R²) 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.2025-01-01T00:00:00Z2025 Mar2026-06-14T05:59:45.295Z2026-06-14T03:14:55.174ZS-EPMC128534043983716810.1016/j.chiabu.2025.107262