ArticleContemporary clinical trials communications2025
A randomized controlled trial protocol for evaluating the feasibility, acceptability, and work outcomes of individualized placement and support adapted for autistic adults in the community.
Article in Contemporary clinical trials communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06829264 (A Pilot Trial of the Individualized Placement and Support Model in Autistic Adults in the Community), which is not on this map. Cited by 2 papers.
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.
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.
A Pilot Trial of the Individualized Placement and Support Model in Autistic Adults in the Community
Who cites it
2 citing papers in PubMed.
- Large trials of psychosocial interventions: examples from individual placement and support.International journal of public health · 2026Review
- Implementing individual placement and support in autistic and other intellectually and developmentally disabled adults: lessons learned in California.International journal of public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Relatively few autistic adults, including those with average intellectual abilities, are competitively employed, meaning that they hold jobs together with non-disabled workers and receive comparable wages and benefits. In California, for example, most autistic individuals served by the state are placed in programs where they participate in skill-building and socialization but not in actual competitive jobs. Failure to participate in the labor force can diminish autistic workers' sense of purpose, well-being, and ability to earn a living wage. Available research suggests that supported employment that assists autistic adults in finding and keeping jobs, produces the highest sustained competitive employment rates. Thus, our team has been investigating the Individualized Placement and Support (IPS) model, which has an extensive evidence base for increasing competitive employment rates in individuals with chronic mental illnesses. In a California Department of Developmental Services Employment Grant investigating adults with autism and intellectual disabilities, we demonstrated a competitive employment placement rate of 52 % using IPS. Components of IPS were appropriate for this population, however there were implementation challenges related to IPS model fit with the vocational support agencies. Based on focus groups and stakeholder input, we have adapted IPS to provide intensive agency training, leadership education, and record keeping support. Herein, we detail a protocol for a randomized controlled trial of the adapted model (IPS-AUT) to evaluate feasibility, acceptability, and work outcomes. We also investigate potential moderators and mediators of treatment effectiveness to provide a foundation for a larger more adequately powered randomized clinical trial. This protocol is registered at ClinicalTrials.gov: NCT06829264.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.