Evidence map›Paper›PMID 35572181›Full record

ArticlePsychology in the schools2022

Exploring telehealth during COVID for assessing autism spectrum disorder in a diverse sample.

Katherine K M Stavropoulos, Michelle Heyman, Giselle Salinas, Elizabeth Baker, Jan Blacher

Open access · greenAbstract read
In one paragraph

Article in Psychology in the schools, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Katherine K M StavropoulosGraduate School of Education University of California, Riverside Riverside CA USA.
Michelle HeymanGraduate School of Education University of California, Riverside Riverside CA USA.
Giselle SalinasGraduate School of Education University of California, Riverside Riverside CA USA.
Elizabeth BakerGraduate School of Education University of California, Riverside Riverside CA USA.
Jan BlacherGraduate School of Education University of California, Riverside Riverside CA USA.
University of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the coronavirus disease 2019 (COVID-19) pandemic, the importance of telehealth has rapidly increased, in particular as many in-person clinics have closed. Early intervention is crucial for improving outcomes in children with autism spectrum disorder (ASD). As such, the need for timely assessments and diagnoses remains despite COVID-19-related closures. This study offers preliminary data collected from 23 children assessed through a no-cost autism clinic in Southern California using a novel telehealth model. This includes an overview of an adapted, telehealth version of in-person observational assessment techniques for diagnosing autism. In addition, preliminary data on social validity assessed at two points are presented. Findings suggest that caregivers found the telehealth assessment procedures acceptable and convenient, and overall were satisfied with both the assessment and the written report/verbal feedback. Implications for future uses of telehealth are discussed, including how telehealth can assist with decision-making around school-based services and/or placement.

Indexed as

assessmentautismtelehealth

Identifiers

PMID35572181
PMCPMC9088649
OpenAlexW4220690076

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.