Document Detail


Telling interviewers about sexual abuse: predictors of child disclosure at forensic interviews.
MedLine Citation:
PMID:  18832489     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study aims to identify characteristics that predict full disclosure by victims of sexual abuse during a forensic interview. Data came from agency files for 987 cases of sexual abuse between December 2001 and December 2003 from Children's Advocacy Centers (CACs) and comparison communities within four U.S. states. Cases of children fully disclosing abuse when interviewed were compared to cases of children believed to be victims who gave no or partial disclosures. The likelihood of disclosure increased when victims were girls, a primary caregiver was supportive, and a child's disclosure instigated the investigation. The likelihood of disclosure was higher for children who were older at abuse onset and at forensic interview (each age variable having an independent effect). Communities differed on disclosure rate, with no difference associated with having a CAC. Findings suggest factors deserving consideration prior to a forensic interview, including organizational and community factors affecting disclosure rates.
Authors:
Tonya Lippert; Theodore P Cross; Lisa Jones; Wendy Walsh
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2008-10-02
Journal Detail:
Title:  Child maltreatment     Volume:  14     ISSN:  1077-5595     ISO Abbreviation:  Child Maltreat     Publication Date:  2009 Feb 
Date Detail:
Created Date:  2009-01-07     Completed Date:  2009-03-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9602869     Medline TA:  Child Maltreat     Country:  United States    
Other Details:
Languages:  eng     Pagination:  100-13     Citation Subset:  IM    
Affiliation:
Dallas Children's Advocacy Center, USA. tlippert@lhs.org
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Age Factors
Child
Child Abuse, Sexual / statistics & numerical data*
Child Advocacy
Child, Preschool
Female
Forensic Sciences / statistics & numerical data*
Humans
Interviews as Topic*
Male
Models, Theoretical
Predictive Value of Tests
Sex Factors
Truth Disclosure*
United States

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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