Prediction of child abuse risk from emergency department use

J Pediatr. 2009 Feb;154(2):272-7. doi: 10.1016/j.jpeds.2008.07.047. Epub 2008 Sep 25.

Abstract

Objective: To examine whether pre-abuse rates and patterns of emergency department (ED) visits between children with supported child abuse and age-matched control subjects are useful markers for abuse risk.

Study design: A population-based case-control study using probabilistic linkage of four statewide data sets. Cases were abused children <13 years of age, identified between January 1, 2002, and December 31, 2002. For each case, a birth date-matched, population-based control was obtained. Outcome measures were rate ratios of ED visits in cases compared with control subjects.

Results: Cases (n = 9795) and control subjects (n = 9795) met inclusion criteria; 4574 cases (47%) had an ED visit; thus linked to the ED database versus 2647 control subjects (27%). The crude ED visit rate per 10,000 person-days of exposure was 8.2 visits for cases compared with 3.9 visits for control subjects. Cases were almost twice as likely as control subjects (adjusted rate ratio = 1.8; 95% CI, 1.5, 1.8) to have had a prior ED visit. Leading ED discharge diagnoses were similar for both groups.

Conclusions: Children with supported child abuse have higher ED use before abuse diagnosis, when compared with the general pediatric population. However, neither the rate of ED use nor the pattern of diagnoses offers sufficient specificity to be useful markers of risk for abuse.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Case-Control Studies
  • Child
  • Child Abuse / diagnosis
  • Child Abuse / statistics & numerical data*
  • Child, Preschool
  • Databases, Factual
  • Domestic Violence / statistics & numerical data
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Infant
  • Male
  • Medically Uninsured
  • Mental Health Services / statistics & numerical data
  • Risk Assessment*
  • Utah / epidemiology