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https://www.selleckchem.com/products/oprozomib-onx-0912.html Nearly 6 million children are reported as allegedly experiencing abuse or neglect in the US annually. Child protection agencies are increasingly turning to automated predictive risk models (PRMs) that mine information found in routinely collected administrative data and estimate a likelihood that an individual will experience some future adverse outcome. To test if a PRM used at the time of referral for alleged maltreatment, which automatically generates a risk stratification score indicating the relative likelihood of future foster care placement, is also predictive of injury hospitalization data. This retrospective cohort study based on a probabilistic association between child protection and hospital encounter data was conducted in Allegheny County, Pennsylvania, and at Children's Hospital of Pittsburgh (Pittsburgh, Pennsylvania). Participants included children referred for alleged neglect or abuse in Allegheny County between April 1, 2010, and May 4, 2016. Risk score generated from the PRM. Mediy encounters, the rate for high-risk children was 2.0 (95% CI, 1.5-2.6) per 1000 and that of low-risk children was 0.2 (95% CI, 0.2-0.3) per 1000; for suicide and self-harm, the high-risk encounter rate was 1.0 (95% CI, 0.6-1.4) per 1000 and that of low-risk children was 0.1 (95% CI, 0.1-0.1) per 1000. There was no association between risk scores and cancer encounters. Findings confirm that children reported for having experienced alleged maltreatment and classified by a PRM tool to be at high risk of foster care placement are also at increased risk of emergency department and in-patient hospitalizations for injuries. Findings confirm that children reported for having experienced alleged maltreatment and classified by a PRM tool to be at high risk of foster care placement are also at increased risk of emergency department and in-patient hospitalizations for injuries. Few data exist about the role of common human

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