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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring

Isabel Yorke1,2, Charlotte A Boatman3, Akash Roy Choudhury4

  • 1Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

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Summary

Digital tools show promise for measuring outcomes in autistic individuals, assessing daily living challenges like sleep and mental health. This study confirms the feasibility and acceptability of using these technologies for autism research.

Keywords:
autismdigital end pointsmental healthremote measurement technologysleepwearables

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Area of Science:

  • Autism Spectrum Disorder Research
  • Digital Health Technologies
  • Clinical Outcome Measurement

Background:

  • Autism research needs objective measures for daily living challenges such as mental health, sleep, and social well-being.
  • Digital technologies offer novel ways to collect data reflecting real-world experiences.
  • The acceptability and feasibility of digital data collection in autistic populations are not well understood.

Purpose of the Study:

  • To evaluate the usability, acceptability, adherence, and feasibility of a combined in-person and remote digital data collection protocol.
  • To explore data properties for developing new digital endpoints in social communication, sleep, and mental health.
  • To assess the potential of digital tools in autism research.

Main Methods:

  • Inclusion of autistic and non-autistic participants in the AIMS Longitudinal European Autism Project.
  • A digitally augmented in-person Autism Diagnostic Observation Schedule-2 (ADOS-2) assessment.
  • A 28-day remote measurement (RM) protocol using a Fitbit, passive smartphone data collection, and active reporting apps.

Main Results:

  • Enrollment of 190 participants for the digitally augmented ADOS-2 and 86 for the RM protocol.
  • Ongoing data collection until August 2025 with recruitment complete.
  • Commenced data analysis, including qualitative feedback, feasibility metrics, ADOS-2 speech analysis, and RM sleep measures.

Conclusions:

  • The study establishes foundational understanding for digital measurement procedures in autism research.
  • Confirms the acceptability and feasibility of both in-person and remote digital methods.
  • Highlights the potential for capturing meaningful outcomes to improve daily living for autistic individuals.