Publications by authors named "Laura L Corona"

Purpose: Telemedicine approaches to autism (ASD) assessment have become increasingly common, yet few validated tools exist for this purpose. This study presents results from a clinical trial investigating two approaches to tele-assessment for ASD in toddlers.

Methods: 144 children (29% female) between 17 and 36 months of age (mean = 2.

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Background: Families of young children with autism spectrum disorder (ASD) frequently experience barriers to accessing evidence-based early intervention services. Telemedicine presents an opportunity to increase access to these services, particularly for families in rural and under-resourced areas. The present article describes a brief behavioral intervention and support model for families of young children with concerns for ASD.

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The COVID-19 pandemic has increased the use of telemedicine as an avenue to address the need for diagnostic clarification in young children at risk for autism spectrum disorder (ASD). Although preliminary research has supported the use of telemedicine for identifying ASD in toddlers, little is known about the experiences of practitioners attempting direct-to-home tele-assessment. We surveyed diagnostic providers regarding changes in practice behavior in the initial months of the COVID-19 pandemic and their perceptions of ASD tele-assessment.

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Parents of children with autism spectrum disorder (ASD) frequently report high levels of stress related to the process of receiving an ASD diagnosis and navigating the intervention landscape. Parent education programs offer one approach to providing families with support, information, and resources following a child's diagnosis. Given the heterogeneity of such programs, there have been calls within the literature for increased characterization and systematic evaluation of this type of parent-focused intervention.

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Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations.

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The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic.

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Telemedicine tools have potential for increasing access to diagnostic services for children with autism spectrum disorder (ASD). Past work has utilized tele-assessment procedures in which remote psychologists observe administration of interactive screening instruments by trained, on-site providers. Although promising, this approach relies on two clinicians, limiting its efficiency and scalability.

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Social skills intervention is an evidence-based practice for enhancing communication and interpersonal skills in individuals with autism spectrum disorder (ASD). Participation in the Program for the Education and Enrichment of Relational Skills (PEERS®), a manualized social skills intervention for adolescents with ASD, is associated with improved social skills and peer interactions, as well as decreased autism symptoms. Participation in PEERS® has also been linked to increased parent self-efficacy and decreased family chaos.

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