Evaluation of a newborn screen for predicting out-of-home placement

Child Maltreat. 2011 Nov;16(4):239-49. doi: 10.1177/1077559511422942. Epub 2011 Oct 17.

Abstract

A newborn screen designed to predict family risk was examined to: (a) determine whether all families with newborns were screened; (b) evaluate its predictive validity for identifying risk of out-of-home placement, as a proxy for maltreatment; (c) determine which items were most predictive of out-of-home placement. All infants born in Manitoba, Canada from 2000 to 2002 were followed until March 31, 2004 (N = 40,886) by linking four population-based data sets: (a) newborn screening data on biological, psychological, and social risks; (b) population registry data on demographics; (c) hospital discharge data on newborn birth records; (d) data on children entering out-of-home care. Of the study population, 18.4% were not screened and 3.0% were placed in out-of-home care at least once during the study period. Infants not screened were twice as likely to enter care compared to those screened (4.9% vs. 2.5%). Infants screening at risk were 15 times more likely to enter care than those screening "not at risk." Sensitivity and specificity of the screen were 77.6% and 83.3%, respectively. Screening efforts to identify vulnerable families missed a substantial portion of families needing support. The screening tool demonstrated moderate predictive validity for identifying children at risk of entering care in the first years of life.

Publication types

  • Evaluation Study

MeSH terms

  • Attitude to Health
  • Child Abuse / prevention & control*
  • Crime / prevention & control
  • Family Characteristics
  • Female
  • Foster Home Care / statistics & numerical data*
  • Humans
  • Infant Care / organization & administration*
  • Infant Welfare / statistics & numerical data*
  • Infant, Newborn
  • Male
  • Manitoba
  • Mass Screening / instrumentation*
  • Mass Screening / statistics & numerical data*
  • Program Evaluation
  • Public Assistance / statistics & numerical data*
  • Retrospective Studies
  • Risk Assessment
  • Sensitivity and Specificity