Evidence map›Paper›PMID 33465590›Full record

SynthesisResearch in developmental disabilities2021

A systematic review of technological approaches for autism spectrum disorder assessment in children: Implications for the COVID-19 pandemic.

Angela V Dahiya, Elizabeth DeLucia, Christina G McDonnell, Angela Scarpa

Abstract readSystematic Review
In one paragraph

Synthesis in Research in developmental disabilities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Electroencephalography in Autism Spectrum Disorder.Journal of clinical medicine · 2025
    Review
  14. Article
  15. Unpacking the prevalence: A warning against overstating the recently narrowed gap for Black autistic youth.Autism research : official journal of the International Society for Autism Research · 2024
    Article
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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

4 authors.

Angela V DahiyaVirginia 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.
Elizabeth DeLuciaVirginia 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.
Christina G McDonnellVirginia 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.
Angela ScarpaVirginia 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening 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.

aimsThis 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.

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

results16 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.

Indexed as

COVID-19Mass ScreeningAutism Spectrum DisorderChildCommunicable Disease ControlHumansInventionsTelemedicineAssessmentAutismDiagnosisTechnologyTelehealth

Identifiers

PMID33465590
PMCPMC9761928

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.