Evidence map›Paper›PMID 36601641›Full record

ReviewAutism in adulthood2021

A Meta-Analysis of Video Modeling Interventions to Enhance Job Skills of Autistic Adolescents and Adults.

Leslie Ann Bross, Jason C Travers, Jonathan M Huffman, John L Davis, Rose A Mason

Abstract readReview
In one paragraph

Review in Autism in adulthood, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Leslie Ann BrossDepartment of Special Education and Child Development, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.
Jason C TraversDepartment of Teaching and Learning, Temple University, Philadelphia, Pennsylvania, USA.
Jonathan M HuffmanJuniper Gardens Children's Project, University of Kansas, Kansas City, Kansas, USA.
John L DavisDepartment of Educational Psychology, University of Utah, Salt Lake City, Utah, USA.
Rose A MasonDepartment of Educational Studies, Purdue University, West Lafayette, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Autistic transition-aged youth and young adults face many societal barriers to competitive integrated employment (CIE). Existing evidence-based practices (EBPs) for autistic individuals, such as video modeling (VM), may be a viable on-the-job training method to enhance employment experiences and outcomes for this population. Methods: The purpose of this meta-analysis was to synthesize VM studies to teach job skills for autistic individuals. We applied the Council for Exceptional Children's (CEC) Results: Twenty articles met our inclusion criteria, and 11 of those studies were classified as methodologically sound according to the CEC's criteria. Results indicate that VM is an EBP to improve job skills of autistic individuals. The overall effect size for methodologically sound studies was strong (0.91), but most studies occurred in contrived or school-based employment settings rather than CIE settings in the local labor market. Conclusions: Employers, transition professionals, and related service providers can consider VM a viable method to teach job skills to autistic employees. However, additional research conducted in CIE settings is needed to better understand the effects of VM in contexts where autistic employees earn regular wages. Lay summary:

Indexed as

autismemploymentmeta-analysistransition to adulthoodvideo modeling

Identifiers

PMID36601641
PMCPMC8992915

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.