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A systematic review of technological approaches for autism spectrum disorder assessment in children: Implications for the COVID-19 pandemic.
Dahiya, Angela V; DeLucia, Elizabeth; McDonnell, Christina G; Scarpa, Angela.
  • Dahiya AV; Virginia Polytechnic Institute and State University, Department of Psychology, 109 Williams Hall, Blacksburg, VA, 24060, United States; Virginia Tech Autism Clinic & Center for Autism Research, 3110 Prices Fork Road, Blacksburg, VA, 24060, United States. Electronic address: avdahiya@vt.edu.
  • DeLucia E; Virginia Polytechnic Institute and State University, Department of Psychology, 109 Williams Hall, Blacksburg, VA, 24060, United States; Virginia Tech Autism Clinic & Center for Autism Research, 3110 Prices Fork Road, Blacksburg, VA, 24060, United States.
  • McDonnell CG; Virginia Polytechnic Institute and State University, Department of Psychology, 109 Williams Hall, Blacksburg, VA, 24060, United States; Virginia Tech Autism Clinic & Center for Autism Research, 3110 Prices Fork Road, Blacksburg, VA, 24060, United States.
  • Scarpa A; Virginia Polytechnic Institute and State University, Department of Psychology, 109 Williams Hall, Blacksburg, VA, 24060, United States; Virginia Tech Autism Clinic & Center for Autism Research, 3110 Prices Fork Road, Blacksburg, VA, 24060, United States.
Res Dev Disabil ; 109: 103852, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1065563
ABSTRACT

BACKGROUND:

Screening and diagnostic assessments tools for autism spectrum disorder (ASD) are important to administer during childhood to facilitate timely entry into intervention services that can promote developmental outcomes across the lifespan. However, assessment services are not always readily available to families, as they require significant time and resources. Currently, in-person screening and diagnostic assessments for ASD are limited due to the COVID-19 pandemic and will continue to be a concern for situations that limit in-person contact. Thus, it is important to expand the modalities in which child assessments are provided, including the use of technology.

AIMS:

This systematic review aims to identify technologies that screen or assess for ASD in 0-12 year-old children, summarizing the current state of the field and suggesting future directions.

METHODS:

An electronic database search was conducted to gather relevant articles to synthesize for this review. OUTCOMES AND

RESULTS:

16 studies reported use of novel technology to assess children suspected of ASD. CONCLUSIONS AND IMPLICATIONS Results strongly supported live-video evaluations, video observations, and online or phone methods, but there is a need for research targeting the feasibility of these methods as it applies to the stay-at-home orders required by the pandemic, and other situations that limit clients from seeing providers in-person.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Disease Control / Mass Screening / Telemedicine / Autism Spectrum Disorder / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Child / Humans Language: English Journal: Res Dev Disabil Journal subject: Mental Disorders Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Disease Control / Mass Screening / Telemedicine / Autism Spectrum Disorder / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Child / Humans Language: English Journal: Res Dev Disabil Journal subject: Mental Disorders Year: 2021 Document Type: Article