Apr 11, 20182 min

Lunch Time Research Seminar Thursday 4/19 Dr. Stacey Williams CHILD WELFARE INVESTIGATION - A POPUL

Please join us for the upcoming LTRS featuring:
 

 
Stacey C. Williams, Ph.D., M.P.H.
 

 
Postdoctoral Research Fellow Johns Hopkins Bloomberg School of Public Health
 

 

 
Thursday, 4/19 12:15-1:45 PM
 

 
ROOM: 4E26 of SSW 525 W. Redwood Street
 

 
Pizza & refreshments will be provided RSVP by 4/17 to jcanapp@ssw.umaryland.edu
 

 

 
NEIGHBORHOOD STRUCTURE, PROCESSES, AND SPATIAL VARIATION IN THE RATE OF
 

 
CHILD WELFARE INVESTIGATION - A POPULATION HEALTH PERSPECTIVE
 

 

 
In the United States, the child welfare system serves a vulnerable population of children with
 

 
extensive health needs. With momentum building for place-based interventions to promote
 

 
community health, population-level evidence is needed to identify critical elements of
 

 
interventions and inform potential collaboration across service sectors. Through a systematic
 

 
review of small-area ecological research on neighborhood effects, we framed the literature on
 

 
neighborhood context and child welfare contact through a population health lens. Four
 

 
constructs describing the neighborhood structure (economic disadvantage, percent of the
 

 
population from racial/ethnic minority group, social disadvantage, and residential instability) and
 

 
two constructs describing neighborhood processes (alcohol access, drug arrests) were
 

 
positively associated with the rate of child welfare contact in multiple studies. We identified
 

 
evidence on neighborhood processes as a priority for future research and provide guidance for
 

 
improving study design.


 

 
In Baltimore City, we examined the relationship between neighborhood disadvantage, violence,
 

 
drug and alcohol activity, and the rate of child welfare investigation. While both the violence
 

 
index and drug and alcohol index were strongly associated with the outcome in bivariate
 

 
analysis, only violence was associated with a significant increase in the rate of child welfare
 

 
investigation in the multivariable regression analysis. Applying concepts from spatial
 

 
epidemiology, several important methodological improvements were illustrated, including person
 

 
years of observation, age-adjusted rates, and the use of negative binomial regression models.
 

 
Focusing child maltreatment prevention interventions in areas with the greatest density of child
 

 
welfare contact is an avenue by which interventions can reduce both the incidence of child
 

 
maltreatment and the rate of child welfare involvement. Considering the high rate of child
 

 
welfare contract in Baltimore City, the need to reduce the burden on the child welfare system,
 

 
and growing attention for the need to prevent child maltreatment in high risk neighborhoods,
 

 
child welfare services may benefit from further coordinating their prevention efforts with other
 

 
public sectors serving children and youth at risk of maltreatment. Collaborative efforts between
 

 
hospitals, public service sectors, and community-based resources are likely to be both effective and efficient methods for targeting resources to the most vulnerable children and families in the city.
 

 

www.123formbuilder.com/upload_dld.php?fileid=b4934601174c0d9cbe1e6547b370f77c

www.ncbi.nlm.nih.gov/pubmed/17388079

21