فهرست مطالب elham maserat zeinab mohammadzadeh

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder in which individuals have difficulty in emotional processes related to social cognition and other behavioral patterns. The use of technology is increasing in therapeutic and educational interventions for people with ASD - who face ongoing challenges. Therefore, to select the interventions more appropriately and ensure their effectiveness, such interventions need to be evaluated. Thus, this study is an attempt to develop a framework for evaluating IT-based interventions among people with ASD.

The present study is a descriptive-applied study examining the information technology-based intervention studies in the field of ASD. The search and review of studies continued without any restrictions until an appropriate and complete framework of interventions was obtained. The required data were extracted and collected in a table focusing on the evaluation of ASD interventions. The data were then analyzed to determine an appropriate framework for the objectives of the study. Finally, the evaluation framework was prepared using the one-step Delphi method and sent to 15 experts in the field of autism and health information technology to obtain their views on changing, modifying, approving the framework.

In the framework developed in this study, two aspects of the interventions, including the type of information technology interventions and their outcome are generally presented. Moreover, the technologies used were presented from three main aspects: evaluation methods, technical evaluation cases, and clinical evaluation cases.

The results revealed that technology-based interventions can be of tremendous help in the treatment, education and increasing social interactions of people with ASD and thus bring about significant effects. Therefore, according to experts, the prepared assessment framework of interventions based on information technology leads to identifying the strengths and weaknesses of interventions, improving technologies as well as choosing appropriate interventions and ultimately increasing the quality of life of people with autism spectrum disorder.