Evidence map›Paper›PMID 34448995›Full record

ArticleJournal of autism and developmental disorders2022

Predictors of Satisfaction with Autism Treatment Services During COVID-19.

Emily F Ferguson, Maria Jimenez-Muñoz, Harrison Feerst, Ty W Vernon

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Effects of COVID-19 on children with autism.World journal of virology · 2022
    Review
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Emily F Ferguson *Koegel Autism Center, University of California Santa Barbara, Santa Barbara, CA, 93117, USA. fergusonef1@gmail.com.ORCID http://orcid.org/0000-0002-2771-6346
Maria Jimenez-Muñoz *Koegel Autism Center, University of California Santa Barbara, Santa Barbara, CA, 93117, USA.
Harrison FeerstKoegel Autism Center, University of California Santa Barbara, Santa Barbara, CA, 93117, USA.
Ty W VernonKoegel Autism Center, University of California Santa Barbara, Santa Barbara, CA, 93117, USA.
University of California, Santa Barbara · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has created unprecedented challenges and disruptions for autistic individuals receiving specialized treatment services. This caregiver-report survey study (n = 339) explored predictors of satisfaction with autism services during COVID-19 to improve perceived support for these families. Specifically, we investigated whether service delivery medium (telehealth vs. in person), child's emotional functioning, and caregiver stress would predict satisfaction with the most highly utilized services. Satisfaction ratings for ABA/behavioral, speech/language, and occupational therapy were lower when delivered via telehealth as compared to in person. Caregivers who reported higher emotional dysregulation in their children were less satisfied with behavioral therapy services. These results provide a critical caregiver-informed perspective on factors influencing satisfaction with specialized autism services during COVID-19.

Indexed as

Autism Spectrum DisorderAutistic DisorderCOVID-19CaregiversChildHumansPandemicsPersonal SatisfactionAutism spectrum disorderCaregiversCOVID-19Emotion regulationService satisfactionTelehealth

Identifiers

PMID34448995
PMCPMC8391872
OpenAlexW3193601596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.