Earlier autism diagnosis, the importance of early intervention, and development of specific interventions for young children have contributed to the emergence of similar, empirically supported, autism interventions that represent the merging of applied behavioral and developmental sciences. “Naturalistic Developmental Behavioral Interventions (NDBI)” are implemented in natural settings, involve shared control between child and therapist, utilize natural contingencies, and use a variety of behavioral strategies to teach developmentally appropriate and prerequisite skills. We describe the development of NDBIs, their theoretical bases, empirical support, requisite characteristics, common features, and suggest future research needs. We wish to bring parsimony to a field that includes interventions with different names but common features thus improving understanding and choice-making among families, service providers and referring agencies.
Naturalistic Developmental Behavioral Interventions: Empirically Validated Treatments for Autism Spectrum Disorder
There is growing evidence that efficacious autism-related interventions rarely are adopted or successfully implemented in public schools, in part because of the lack of fit between the intervention and the needs and capacities of the school setting. There is little systematic information available regarding the barriers to implementation of complex interventions such as those addressing social engagement for children with autism.The present study used fieldnotes from an implementation trial to explore barriers that emerged during the training of school personnel and subsequent implementation of a social engagement intervention. A number of barriers at the individual (training) and school levels (policies surrounding recess, staffing, prioritization of competing demands, level of respect and support, and availability of resources) interfered with the continued use and sustainment of the intervention. We offer potential strategies to overcome these barriers and provide directions for future research in this critical area.
Keywords: autism; implementation; intervention; schools; social engagement.
This study sought to validate a new measure, the Classroom Cohesion Survey (CCS), designed to examine the relationship between teachers and classroom assistants in autism support classrooms. Teachers, classroom assistants, and external observers showed good inter-rater agreement on the CCS and good internal consistency for all scales. Simple factor structures were found for both teacher- and classroom assistant-rated scales, with one-factor solutions for both scales. Paired t tests revealed that on average, classroom assistants rated classroom cohesion stronger than teachers. The CCS may be an effective tool for measuring cohesion between classroom staff and may have an important impact on various clinical and implementation outcomes in school settings.
Keywords: autism; classroom cohesion; classroom team; teacher-staff relationship.
Schools have become the main provider of services to children with mental health needs. Although there is substantial literature on barriers to implementation of evidence-based practices (EBPs) in under-resourced school districts, less has been written on how to overcome those barriers. Providing mental health services in the school setting presents a tremendous opportunity to increase access to quality mental health care for underserved youth. This review provides a brief overview of the barriers to successful implementation and sustainment of EBPs in under-resourced public schools and provides recommendations for overcoming them. The discussion is organized around an established conceptual framework adapted for the delivery of services in under-resourced schools that focuses on interdependent factors that exist at the individual-, team, school-, and macro-levels. This manuscript explores some recommendations and strategies for effectively addressing challenges related to implementation of EBPs. Research ideas are offered to bridge the research-to-practice gap that impacts many under-resourced public school districts.
Keywords: Implementation; evidence-based practices; mental health services; sustainment; under-resourced schools.
Classroom assistants and one-to-one assistants are an important part of the staffing structure of many autism support classrooms. Limited studies, however, have examined how one-to-one assistants spend their time in the classroom. The purpose of this article was to examine the percentage of time one-to-one assistants were engaged in instruction or support of students with autism and to determine the factors associated with their engagement. Direct observations were conducted in 46 autism support classrooms. Teachers and classroom assistants were engaged in instruction or support 98% and 91% of the time, respectively. One-to-one assistants were engaged in instruction or support 57% of the time. Classroom assistants’ and one-to-one assistants’ engagement was significantly correlated. The low rate of one-to-one assistants’ engagement suggests an inefficient use of an important resource.
Keywords: autism; autism spectrum disorder; classroom staff engagement; one-to-one assistants; paraprofessionals.
Although tactile reactivity issues are commonly reported in children with autism spectrum disorder (ASD), the underlying mechanisms are poorly understood. Less feed-forward inhibition has been proposed as a potential mechanism for some symptoms of ASD. We tested static and dynamic tactile thresholds as a behavioral proxy of feed-forward inhibition in 42 children (21 children with ASD and 21 typically developing [TD] children). Subthreshold conditioning typically raises the dynamic detection threshold, thus comparison of the dynamic to the static threshold generates a metric that predicts gamma-aminobutyric acid (GABA) mediated feed-forward inhibition. Children with ASD had marginally higher static thresholds and a significantly lower ratio between thresholds as compared with TD children. The lower ratio, only seen in children with ASD, might be indicative of less inhibition. Static thresholds were correlated with autism spectrum quotient scores, indicating the higher the tactile threshold, the more ASD traits. The amount of feed-forward inhibition (ratio between dynamic/static) was negatively correlated with autism diagnostic observation schedule repetitive behavior scores, meaning the less inhibition the more ASD symptoms. In summary, children with ASD showed altered tactile processing compared with TD children; thus measuring static and dynamic thresholds could be a potential biomarker for ASD and might be useful for prediction of treatment response with therapeutics, including those that target the GABAergic system. Autism Res 2016, 9: 616-620. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.
Keywords: GABA; autism spectrum disorder; inhibition; tactile processing.
Autism spectrum disorders (ASDs) are common yet complex neurodevelopmental disorders, characterized by social, communication and behavioral deficits. Behavioral interventions have shown favorable results-however, the promise of precision medicine in ASD is hampered by a lack of sensitive, objective neurobiological markers (neurobiomarkers) to identify subgroups of young children likely to respond to specific treatments. Such neurobiomarkers are essential because early childhood provides a sensitive window of opportunity for intervention, while unsuccessful intervention is costly to children, families and society. In young children with ASD, we show that functional magnetic resonance imaging-based stratification neurobiomarkers accurately predict responses to an evidence-based behavioral treatment-pivotal response treatment. Neural predictors were identified in the pretreatment levels of activity in response to biological vs scrambled motion in the neural circuits that support social information processing (superior temporal sulcus, fusiform gyrus, amygdala, inferior parietal cortex and superior parietal lobule) and social motivation/reward (orbitofrontal cortex, insula, putamen, pallidum and ventral striatum). The predictive value of our findings for individual children with ASD was supported by a multivariate pattern analysis with cross validation. Predicting who will respond to a particular treatment for ASD, we believe the current findings mark the very first evidence of prediction/stratification biomarkers in young children with ASD. The implications of the findings are far reaching and should greatly accelerate progress toward more precise and effective treatments for core deficits in ASD.