Year: 2018
Type: dissertation
Study design: Observational Study
Abstract: Hospital-based surveillance of child maltreatment, including sexual abuse, is emerging as an alternative source of data on CSA that may complement other surveillance sources.[26][27][28][29][30][31][32][33][34][35][36][37] As CSA is complex, surveillance can be optimized by combining data sources 38,39 , which may aid in the identification of CSA victims that would otherwise go undetected.Importantly, information compiled from multiple data sources may increase the specificity (true negative rate) and sensitivity (true positive rate) of detection strategies, elucidate demographic characteristics that are pertinent in the identification of victims and inform interventions for children and families in need.Therefore, the purpose of this project is to provide a comprehensive review of CSA surveillance including case identification and management within the various medical, state and national systems.The report highlights the need for better detection of CSA and how medical data from the Emergency Department holds promise to detect cases through explicit and suggestive medical diagnosis codes for CSA.Our study aims to conducts innovative surveillance on the magnitude and distribution of CSA in Connecticut Emergency Departments (ED) from 2011 to 2014. II. Specific AimsThis study seeks to:1. Calculate the frequency and prevalence of Emergency Department (ED) visits assigned an explicit child sexual abuse (CSA) medical diagnosis code in Connecticut from 2011 to 2014.2. Examine whether the use of suggestive CSA medical diagnosis codes results in a higher frequency and prevalence estimate.3. Compare the demographic profile of ED visits with a suggestive CSA code(s) and ED visits with an explicit CSA code only for children <10 years old.4. Compare the demographic profile of ED visits with an explicit CSA code and ED visits with no CSA code (explicit or suggestive) for children ≤17 years old.
Author: Kathryn Bentivegna
Language: English
Topic: Child Abuse and Trauma
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2804283898