Black, Hispanic kids underrepresented in autism identification - We keep talking, but there's not real change. Sad
The number of children diagnosed with autism has increased in recent years, but a new study co-authored by a University of Kansas professor shows that while the number of students with
autism increased in every state from 2000 to 2007, black and Hispanic children were
significantly underrepresented. Jason Travers, assistant professor of special
education, co-authored a study that analyzed administrative identification of autism in every
state under the Individuals with Disabilities Education Act for the years 2000 and 2007. The
disparity in the odds of white students identified compared with minorities might reflect a similar
phenomenon associated with the widespread increase in students diagnosed with learning
disabilities in the late '70s and attention deficit hyper disorder in the '90s, the authors argue, and
also shows that minority students probably are not getting the same services as their peers.
Travers has studied autism and diagnosis rates previously and noticed discrepancies in
the number of students diagnosed. The Centers for Disease Control have estimated that one in 68
children have autism. "That's a pretty alarming number," Travers said of the CDC
figure. "I wanted to see if there were differences in these rates. Previous research had found that
African-Americans were over-identified. But the data I was looking at showed they were under-
identified. This was during an era when autism prevalence rates were increasing across the
board." Travers and colleagues Michael Krezmien of the University of Massachusetts-
Amherst, Candace Mulcahy of Binghamton University and Matthew Tincani of Temple
University examined autism identification rates from schools in all 50 states in 2000 and 2007
for the study, published in the Journal of Special Education. The study was started while Travers
was a faculty member at the University of Massachusetts-Amherst. Administrative
identification reflects rates at which schools—not necessarily a clinician—identify a child as
having autism. Widely varying criteria from state to state are part of the problem, the authors
state, but not the full story. White students identified as autistic increased from 2000 to 2007 in
all states and the District of Columbia. The number of African-Americans identified increased in
all states except Alaska and Montana, and the number of Hispanics increased in all states except
Kentucky, Louisiana and the District of Columbia. While counts in all categories showed an
increase, black and Hispanic increased at much smaller rates, and all three increased at lower
numbers than predicted by the CDC. "Nearly every state that had proportional
representation of students in 2000 underidentified black and Hispanic students in 2007,"
the authors wrote. "Although there is no firm epidemiological evidence that race is predictive
of autism, we found substantial racial differences in the ways U.S. school identify students with
autism." The discrepancies indicate a number of problems, Travers said. Chief
among them, regardless of why white students are being identified with autism at higher rates,
the results may mean services are not equally accessible among the races. When more students
of one race are being identified, more services for autism will go to those students, and not to
students and schools that are underrepresented. Critics have claimed that white students are
being overidentified or that administrative diagnoses rates are not reliable. "These data
depict what's going on in schools," Travers said. "Whether or not they match with clinical
diagnoses, the numbers can be associated with a variety of costs. They tell us about the human
costs, financial resources dedicated to services, administrative costs, community costs and many
others." The disparities also suggest that white students are more likely to access
early intensive behavior intervention services, educational supports, occupational supports and
others designed for students with autism than their black and Hispanic peers.
Travers intends to address the disparities in future research and develop more accurate methods
to predict disparities in rates of autism. One possibility is to gather data from school districts,
counties and states across the country on the number of students with autism and analyze other
demographics such as neighborhood median income, teacher quality, number of students that
qualify for free and reduced lunches, staff turnover and numerous other factors. He would then
compare that data to U.S. Census information to develop advanced statistical models that could
more accurately predict indicators for autism numbers in schools. "I'm not convinced
we thoroughly understand this problem in special education right now," Travers said. "I think
what's needed is advanced statistical models that can more accurately identify predictors
associated with identification." In addition, schools and states need to identify
consistent methods of identifying autism. The longer they go without, and the more prevalence
numbers are used for political purposes, the greater the inequity will be for minority students, as
the data suggests. "Unfortunately, but not surprisingly, until this problem is
thoroughly understood and scientifically validated methods to prevent the problem are identified,
it seems that the majority of the un- or mis-identified students with autism will be children of
color," the authors wrote.
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