Literature DB >> 28124189

Black-White Differences in Child Maltreatment Reports and Foster Care Placements: A Statistical Decomposition Using Linked Administrative Data.

Tim Maloney1, Nan Jiang1, Emily Putnam-Hornstein2, Erin Dalton3, Rhema Vaithianathan1.   

Abstract

Introduction Official statistics have confirmed that relative to their presence in the population and relative to white children, black children have consistently higher rates of contact with child protective services (CPS). We used linked administrative data and statistical decomposition techniques to generate new insights into black and white differences in child maltreatment reports and foster care placements. Methods Birth records for all children born in Allegheny County, Pennsylvania, between 2008 and 2010 were linked to administrative service records originating in multiple county data systems. Differences in rates of involvement with child protective services between black and white children by age 4 were decomposed using nonlinear regression techniques. Results Black children had rates of CPS involvement that were 3 times higher than white children. Racial differences were explained solely by parental marital status (i.e., being unmarried) and age at birth (i.e., predominantly teenage mothers). Adding other covariates did not capture any further racial differences in maltreatment reporting or foster care placement rates, they simply shifted differences already explained by marital status and age to these other variables. Discussion Racial differences in rates of maltreatment reports and foster care placements can be explained by a basic model that adjusts only for parental marital status and age at the time of birth. Increasing access to early prevention services for vulnerable families may reduce disparities in child protective service involvement. Using birth records linked to other administrative data sources provides an important means to developing population-based research.

Entities:  

Keywords:  Administrative data; Birth records; Child maltreatment; Foster care; Racial disparities

Mesh:

Year:  2017        PMID: 28124189     DOI: 10.1007/s10995-016-2242-3

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  9 in total

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Authors:  Emily Putnam-Hornstein
Journal:  Public Health Rep       Date:  2012 Mar-Apr       Impact factor: 2.792

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Authors:  Paul Lanier; Katie Maguire-Jack; Tova Walsh; Brett Drake; Grace Hubel
Journal:  J Dev Behav Pediatr       Date:  2014-09       Impact factor: 2.225

5.  Racial bias in child protection? A comparison of competing explanations using national data.

Authors:  Brett Drake; Jennifer M Jolley; Paul Lanier; John Fluke; Richard P Barth; Melissa Jonson-Reid
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Journal:  Child Youth Serv Rev       Date:  2008-08-07

8.  Racial and ethnic disparities: a population-based examination of risk factors for involvement with child protective services.

Authors:  Emily Putnam-Hornstein; Barbara Needell; Bryn King; Michelle Johnson-Motoyama
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9.  The prevalence of confirmed maltreatment among US children, 2004 to 2011.

Authors:  Christopher Wildeman; Natalia Emanuel; John M Leventhal; Emily Putnam-Hornstein; Jane Waldfogel; Hedwig Lee
Journal:  JAMA Pediatr       Date:  2014-08       Impact factor: 16.193

  9 in total
  6 in total

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Review 3.  Research Participation of Minor Adolescents in Foster Care.

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4.  Criminal punishment and violent injury in Minnesota.

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5.  The Children's Data Network: Harnessing the scientific potential of linked administrative data to inform children's programs and policies.

Authors:  Regan Foust; Jonathan Hoonhout; Lane Eastman Andrea; John Prindle; Rebecca Rebbe; Huy Nghiem; Himal Suthar; Stephanie Cuccaro-Alamin; Michael Mitchell; William Dawson; Lindsey Palmer; Siddharth Raj; Eunhye Ahn; Ivy Hammond; Claire McNellan; Julia Reddy; Wan-Ting Chen; Kamilah Mayfield; Emily Putnam-Hornstein; Jacquelyn McCroskey
Journal:  Int J Popul Data Sci       Date:  2022-03-21

6.  Using family network data in child protection services.

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Journal:  PLoS One       Date:  2019-10-29       Impact factor: 3.240

  6 in total

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