A multi-site randomized study of intensive treatment for toddlers with autism involving a three-site collaborative network plus a data coordinating center to evaluate the effects of intervention intensity and intervention style delivered for 12 months, on the progress of very young children with ASD ages 12-30 months old and their families, and the effect of children's developmental rates and autism severity on their response to intervention.
High quality, intensive early intervention is a powerful treatment for ASD, improving IQ and language markedly in randomized controlled clinical trials (RCTs), though little long term follow-up data exists. Few core characteristics that affect child change have been tested. Two potential core characteristics that invoke considerable debate among parents, professionals, and administrators are the delivery style of intervention: play-based versus discrete trial teaching, and the intensity (dosage) of intervention. This ACE treatment network conducted an RCTs to answer the following question: what are the effects of intensity and delivery style on developmental progress of toddlers with ASD? 87 young children with ASD, mean age 23.4 months who live within a specified radius near the university at each site were enrolled in one of three national sites and randomized into one of four cells varying on two dimensions: dosage - 15 or 25 hours per week of 1:1 treatment; and discrete trial teaching or naturalistic developmental-behavioral intervention. Other aspects of intervention held constant were: use of the principles of applied behavior analysis, 1:1 adult:child ratios, parent coaching in the assigned treatment, and treatment location. Developmental progress was measured frequently allowing for growth curve analysis to examine fine-grained differences in groups as well as interactions among major child and family initial variables and these two experimental variables.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
87
The Early Start Denver Model (ESDM) is a comprehensive developmental and behavioral early intervention approach for children with autism, ages 12 to 48 months. The program encompasses a developmental curriculum that defines the skills to be taught at any given time and a set of teaching procedures based in applied behavioral analysis to deliver this content. The teaching format focuses on trained therapists delivering the intervention 1:1 by engaging reciprocally with children in typical toddler activities involving play or daily routines, adding additional structure for children who need it to progress well. Progress data is collected throughout each session and used to make decisions about teaching approaches.
EIBI is a one-to-one instructional approach based in applied behavior analysis used to teach skills in a planned, controlled, and systematic manner. Each trial or teaching opportunity has a definite beginning and end, thus the descriptor discrete trial. Within DTT, the use of antecedents and consequences is carefully planned and implemented. Positive praise and/or tangible rewards are used to reinforce desired skills or behaviors. Trial by trial data collection is an important part of DTT and supports decision making by providing teachers/practitioners with information about beginning skill level, progress and challenges, skill acquisition and maintenance, and generalization of learned skills or behaviors.
UC Davis MIND Institute
Sacramento, California, United States
Vanderbilt University
Nashville, Tennessee, United States
University of Washington Autism Center
Seattle, Washington, United States
Expressive Communication Composite Score
We used Time 4 means and standard deviations (SDs)s from several measures to compute a z score. The mean of a Z score is always 0 and z scores range from -3 to +3. For this composite a higher score reveals more mature developmental skills. Data from the following measures were used in this composite score: a weighted frequency of intentional communication measured within a 15 minute communication sample; number of different root words measured within the communication sample; the expressive language age equivalent score from he Mullen Scales of Early learning (MSEL); the expressive communication age equivalent scores from the Vineland 2 Adaptive Behavior Scale 2(VABS2); the expressive raw score from the MacArthur Bates Communicative Developmental Inventories; the expressive social communication abilities composite score from the PDD Behavior Inventory; and the expressive language raw score from the PDD Behavior Inventory
Time frame: two years
Autism Severity Composite Score
To build the composite scores for all the outcome measures, we first examined whether the proposed component variables were correlated (for 2 component variables) or factor loaded (for 3 or more component variables) at or above .3. We used Time 4 means and SD to compute a z score. The mean of a Z score is always 0 and z scores range from -3 to +3. For this composite a higher score reveals more severe symptoms of ASD. . from the following measures were used in this composite score: the calibrated severity score from the Autism Diagnostic Observation Schedule 2 and the expressive receptive social communication composite from the PDD Behavior Inventory
Time frame: two years
Receptive Language Composite Score
To build the composite scores for all the outcome measures, we first examined whether the proposed component variables were correlated (for 2 component variables) or factor loaded (for 3 or more component variables) at or above .3. We used Time 4 means and SD to compute a z score. The mean of a Z score is always 0 and z scores range from -3 to +3. For this composite a higher score reveals more mature developmental skills. from the following measures were used in this composite score: receptive language age equivalent score from the MSEL; receptive language age equivalent score from the VABS 2
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Time frame: two years
Nonverbal Development Composite Score
To build the composite scores for all the outcome measures, we first examined whether the proposed component variables were correlated (for 2 component variables) or factor loaded (for 3 or more component variables) at or above .3. We used Time 4 means and SD to compute a z score. The mean of a Z score is always 0 and z scores range from -3 to +3. For this composite a higher score reveals more mature developmental skills. from the following measures were used in this composite score: 2 scores - the fine motor and the visual reception age equivalency scores - from the MSEL and 3 age equivalency scores from the VABS2 - daily living, motor skills, and socialization
Time frame: two years