Literature DB >> 15556737

Child maltreatment in Missouri: combining data for public health surveillance.

Patricia G Schnitzer1, Paula Slusher, Mark Van Tuinen.   

Abstract

BACKGROUND: Public health surveillance was established for nonfatal child maltreatment in Missouri using two data sources. This paper describes the epidemiology of nonfatal child maltreatment using this surveillance system, and assesses the usefulness of combining medical data with child protective services (CPS) reports for child maltreatment surveillance.
METHODS: Child abuse and neglect reports for children aged <10 years for 2000 were obtained from the Missouri Division of Family Services (DFS) and linked to hospital discharge and emergency department (ED) data for 2000. Children were classified as maltreated if they had an International Classification of Disease (ICD) maltreatment code for a hospital or ED visit, or a substantiated report to DFS. Validity of the ICD maltreatment codes was assessed in a 10% random sample of the hospital/ED visits. Medical records were reviewed to determine the accuracy of the maltreatment code assigned. The data analyses reported here were conducted in 2002 and 2003.
RESULTS: In the linked data, 5657 children met the case definition of maltreatment, providing a nonfatal maltreatment rate of 7.4/1000 children. Rates were higher among children aged <1 year (8.4/1000), females (7.7/1000), African Americans (11.8/1000), and children residing in rural counties (8.7/1000). The hospital/ED data identified proportionately more children who were African American, urban, physically abused, or infants, and uniquely identified only 10% of the total cases. In the validation sample, maltreatment was documented in 110 (87%) of the 127 records reviewed.
CONCLUSIONS: CPS and medical data can be linked for surveillance. However, the medical data add few unique cases and identify only a subset of maltreated children.

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Year:  2004        PMID: 15556737     DOI: 10.1016/j.amepre.2004.08.007

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


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