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Identifying risk factors for child maltreatment in Alaska: a population-based approach

Jared W Parrish1, Margaret B Young, Katherine A Perham-Hester

  • 1Alaska Division of Public Health, Maternal and Child Health Epidemiology Unit, 3601 C Street, Anchorage, AK 99503, USA. jared.parrish@alaska.gov.

American Journal of Preventive Medicine
|May 14, 2011
PubMed

Insights

Combining Pregnancy Risk Assessment Monitoring System (PRAMS) data with child protective services (CPS) records helps identify child maltreatment risk factors. This approach aids early intervention for high-risk populations.

Area of Science:

  • Public Health
  • Epidemiology
  • Child Welfare

Background:

  • Child maltreatment is linked to adverse health outcomes and mortality.
  • Early identification of high-risk populations is crucial for interventions.

Purpose of the Study:

  • To evaluate combining Pregnancy Risk Assessment Monitoring System (PRAMS) data with child protective services (CPS) records.
  • To identify risk factors associated with Protective Services Reports (PSR) indicative of child maltreatment.

Main Methods:

  • Retrospective, population-based cohort study using Alaska PRAMS data (birth years 1997-1999).
  • Linked PRAMS responses with CPS records for children up to 48 months post-birth.
  • Used multivariate logistic regression to identify risk groups.

Main Results:

  • PRAMS data contributed significantly to identifying top risk factors for child maltreatment.
  • Public aid interacted with Alaska Native status, increasing risk for non-Natives (AOR 3.37).
  • Six modifiable factors were identified; 75% of maltreatment cases involved two or more.

Conclusions:

  • PRAMS data offers valuable risk factor information beyond birth certificates.
  • Combining PRAMS and CPS data enhances the identification of children at risk for maltreatment.
Abstract

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