Method
Participants. Participants
were a subset of 668 children, 75.4% males (n = 504) and 24.6%
females (n = 164) females, and their families who were enrolled
in the National Adolescent and Treatment Study (NACTS). Approximately
half of the sample was enrolled in mental health residential facilities
(47.5%) and the other half was in community-based special education
programs (52.5%). NACTS was a comprehensive 7-year longitudinal study
of 812 children identified with serious emotional disturbance, who,
when the study began, were either in a residential mental health facility
or a community-based special education program (Greenbaum, Dedrick,
Friedman, Kutash, Brown, Lardieri, & Pugh, 1996). Inclusion criteria
for the present study was that a participant had to have a DSM-III Axis
I diagnosis (i.e., Anxiety, Depression, Conduct Disorder, Attention
Deficit, Schizophrenia) when assessed at either Wave 1 (n = 557)
or Wave 4 (n = 483). At the start of the study, the children
were aged 9-17 years of age (M = 13.44, SD = 2.27) with
72% white, 19.9% African American, and 8.1% Hispanic or other ethnicity
(e.g., Asian American, Native American).
Procedure. During Waves
1 through 6 of NACTS, each caregiver (e.g., parent, relative, professional
caregiver) was asked to specify what services their child had received
during the year. Receipt of 11 different services from the following
five service areas were queried: (a) mental health (i.e., psychological
testing, individual counseling, family counseling, group therapy, alcohol
and drug counseling, psychotropic medication), (b) education (i.e.,
special education classes, speech therapy), (c) vocational rehabilitation,
(d) nonroutine health care (e.g., doctor visits, emergency room), and
(e) criminal justice (i.e., police contacts).
Measures. Rates of service
utilization were measured in three ways. First, an aggregate measure
of service use based on whether a child ever received a
service during the entire 6-year period was calculated by assigning
a value of 1 if a child received that service at any time during
the 6-year period and an 0 if not. Second, for an 18-month period
starting at Wave 1, a child was assigned a value of 1 or 0
representing whether or not a service was received during that period.
Similarly, for an 18-month period starting at Wave 4, a child was assigned
a value of 1 or 0 representing whether or not a service
was received. Use of these three measures provided one global and two
relatively short-term measures of service use. The two short-term measures
also provided some degree of comparability (i.e., both were for the
same length of time) and, therefore, information on stability of service
use patterns. Moreover, these measures were concurrent with when the
DSM-III diagnoses were obtained. Therefore, these measures were most
informative about determining the short-term relationship between service
needs and service use, whereas the 6-year aggregate measure provided
a long-term perspective on how childrens service needs were being
met.
DSM-III (American Psychiatric Association, 1980) diagnoses
were derived from the Diagnostic Interview Schedule for Children (DISC-C;
Costello, Edelbrock, Dulcan, Kalas, & Klaric, 1984, revised June
1985), a structured instrument administered during Waves 1 and 4 of
the study. Derived diagnoses included 33 Axis I DSM-III diagnoses including
alcohol and marijuana abuse/dependency. Other types of psychoactive
drug use (e.g., opiates, cocaine, amphetamines, barbiturates, heroin,
hallucinogens, inhalants) also were assessed. However, as pathological
use, impairment, and tolerance/withdrawal symptoms for these drugs were
not part of the DISC-C, no diagnoses for other drug disorders were available.
Analyses.
For each type of service, comparisons of whether a child ever used that
service during each of the three selected time periods were made between
NACTS participants who had a comorbid MH and SU diagnoses versus those
who had only an MH disorder. In this way, it was possible to determine
if any significant differences existed in service use between the two
groups of participants. Control variables also were entered into the
analyses, which included childs age, gender, race/ethnicity and
facility (residential mental health /community-based special education).
These control variables were included for two reasons. First, they represented
the variables that formed the stratified sampling design of the study,
so by inclusion in the analyses, any group differences in service use
would not be confounded with sampling differences. Second, these design
variables have been identified previously as either predictors or potential
predictors of the variables of interest in this study (e.g., service
use, comorbidity, mental health and substance use problems). By including
these variables in the analyses, any differences in service use that
could be attributed to the control variables will have been removed
from the test of differences between comorbid and noncomorbid groups,
thereby reducing spurious results. For all three service-use measures,
which were dichotomous, logistic regression analysis was the statistical
technique used to test for differences in the proportion of children
in each group who ever used a service during the specified time period.
In conjunction with reporting statistical significance (alpha = .05),
adjusted odds ratios (AOR) also are reported. The odds ratio describes
the ratio between the odds of one group (e.g., co-occurring) receiving
an outcome (e.g., a specific service) relative to the odds of another
group (e.g., only an MH disorder) receiving the same outcome. An odds
ratio of 1.00 indicates no relationship, whereas, values of 2.00 or
more are interpreted as indicating a meaningful difference. Adjusted
odds ratios (AOR) are odds ratios that control for the shared variance
with other predictors (i.e., control variables) that have been included
in the logistic regression analyses.
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