Predicting treatment outcome for children with autism.
As not all children with Autism Spectrum Disorders (ASD) reach the same outcome of behavioral treatment, there has been a lot of work done to identify predictors both for which children will benefit the most from behavioral treatment.
This research has historically investigated both skills or deficits the children possesses before treatment starts, and some elements of the early learning style. There is done quite a lot of work on Early Learning Measures (ELM). None of this research has come up with concluding results, so it´s important to get more research done in this area.
Schreibman and colleagues has done some research in this area in the recent years, specially within the framework of Pivotal Response Training, and has now published a study in Research in Autism Spectrum Disorders.
This is an important area of research that need more attention. More knowledge in this area will make pratcioners able to offer and design better programs based on each individuals unique characteristics, and probably contribute to the understanding of how the different components of behavioral programs contribute to great results.
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