Schedule:
Thursday, January 12, 2017
Bissonet (New Orleans Marriott)
* noted as presenting author
Marissa E. Yingling, MSW, PhD Candidate, University of South Carolina, Columbia, SC
Bethany A. Bell, PhD, Associate Professor, University of South Carolina, Columbia, SC
Robert Hock, PhD, Assistant Professor, University of South Carolina, Columbia, SC
Background and Purpose:
Public funding of early intensive behavioral
intervention (EIBI) for the 1 in 68 children who meet criteria for autism
spectrum disorder (ASD) is rapidly expanding. Evidence suggests that children with ASD experience racial and geographic
disparities in access to health care services, and the Interagency Autism Coordinating Committee cites disparities
in access to early intervention among the most pressing yet understudied areas
of research. Disparity research
has focused heavily on the age of diagnosis. We know little about whether disparities
exist in children's utilization of ASD treatments.
To examine disparities in treatment utilization,
we partnered with the South Carolina Department of Disabilities and Special
Needs (DDSN) to build a unique, comprehensive dataset of children who received
EIBI through DDSN's Medicaid waiver. We examined the relationship between race
and treatment utilization trajectories and children's neighborhood racial
composition, poverty, affluence, and urbanicity and treatment utilization
trajectories. Also, we examined whether the relationship between race and
treatment utilization trajectories varies by neighborhood characteristics.
Methods:
Data and samples: We integrated data from
DDSN paper case records, spreadsheets, and electronic records and state Medicaid
and Census data. The dataset includes children who enrolled in the waiver
between its inception (January 2007) and March 31, 2015 (N=2,338). The current
sample (N=807) includes children who received at least one therapy session
between 26 and 52 weeks during year one.
Measures: Treatment utilization is
measured as the percent of provider-recommended hours used per week. To
determine a child's treatment utilization trajectory, we divided the number of
hours used by recommended hours for weeks 1 through 52. We measured child race as black, Hispanic, other
non-Hispanic, and unknown (a DDSN and Medicaid category). We used the census
tract ID of children's residential addresses to determine racial composition (percent of white residents), poverty (composite), and affluence (composite). We used USAA
Rural-Urban Commuting Areas to determine urban,
suburban, and rural tracts. We estimated 10 growth curve models using PROC MIXED
in SAS v9.4 (α = .05), we used a quadratic term, and we compared changes in
-2LL. Due to the high number of singletons in census tracts, we estimated
contextual models.
Results:
Children use an average of 41% of recommended
hours per week, 40% of variance in utilization exists between children, children
vary in utilization at week 1, and children's trajectories vary. During the
first week of therapy, compared to white children, black children use an
average of 8.2% less hours, for every 1 percent increase in neighborhood
affluence a child uses 2.8% more hours, and compared to children in urban
areas, children in suburban areas use 3.4% less hours. There is no evidence for
racial or neighborhood differences in trajectories.
Conclusions and Implications:
Findings provide insight into children's average
utilization during the first year of treatment, underscore the need for
research that examines different measures of utilization (e.g., by month or
year) and utilization beyond the first year of treatment, and offer lessons on
the collection and use of administrative data in research on EIBI.