Evidence map›Paper›PMID 41258947›Full record

ArticleJournal of autism and developmental disorders2025

Autism Assessment From Home: Piloting a Brief, Remote Autism Observation for Children.

Jennifer R Bertollo, Megan Fok, Daniele C Martino, Elizabeth A DeLucia, Michael Bunis, Angela Scarpa

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Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jennifer R BertolloVirginia Polytechnic Institute & State University, Blacksburg, VA, USA. JBertollo@childrensnational.org.ORCID http://orcid.org/0000-0001-8243-044X
Megan FokVirginia Polytechnic Institute & State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0002-0605-1090
Daniele C MartinoVirginia Polytechnic Institute & State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0002-6175-2498
Elizabeth A DeLuciaVirginia Polytechnic Institute & State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0003-3624-1140
Michael BunisWashington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0009-0009-8472-0630
Angela ScarpaVirginia Polytechnic Institute & State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0002-5890-5668

Funding

American Psychological Foundation (APF)/Council of Graduate Departments in Psychology (COGDOP) Graduate Student Scholarship American Psychological Foundation (APF)/Council of Graduate Departments in Psychology (COGDOP) Graduate Student ScholarshipNINDS NIH HHS NINDS T32NS115656Thomas H. Ollendick Ph.D. and Mary Catherine Haley Ollendick Graduate Fellowship in Clinical Child and Adolescent Psychology Thomas H. Ollendick Ph.D. and Mary Catherine Haley Ollendick Graduate Fellowship in Clinical Child and Adolescent PsychologyVirginia Tech Institute for Society, Culture and Environment (ISCE) Virginia Tech Institute for Society, Culture and Environment (ISCE)
6 · The paper itself

Abstract

purposeSince COVID-19, tele-based methods of autism assessment have been relied upon to a previously unparalleled degree; however, the need for such advancements is not new. Observation-based measures are a crucial component of face-to-face autism diagnostic evaluations, but few validated observation tools exist for remotely assessing autism across childhood, offering minimal guidance for older children and adolescents. Sanchez and Constantino previously validated a brief, face-to-face, clinician-facilitated observation coded according to the Childhood Autism Rating Scale, Second Edition (CARS-2). During the pandemic, this measure was adapted as a remote observation, but has yet to be validated in this format.

methodsThe current study validated this remote observation against the in-person Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), in a sample of 30 children ages 1-16 years (M = 7.25, SD = 4.05).

resultsThe remote observation was highly correlated with the ADOS-2 (r = .75, p < .001) and Social Responsiveness Scale, Second Edition (r = .74, p < .001), and demonstrated acceptable sensitivity (88.9%) and specificity (80%) in predicting research diagnostic classification. The remote observation correctly predicted whether a child met criteria for a research diagnosis of autism in 82.8% of cases, and the same classification as the ADOS-2 in 72.4% of cases.

conclusionsThis pilot study offers preliminary support for the validity of this brief, accessible, remote autism observation. This is a crucial step in ensuring uniform training and clinical procedures for tele-assessment of autism, to help mitigate long-standing barriers to service access (e.g., geography, cost, availability).

Indexed as

AutismPsychometricsRemote observationRural communitiesTele-assessment

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.