ArticleJournal of autism and developmental disorders2025
Applying a User-Centered Design Framework to Develop a Remote Research Assessment Protocol for a Randomized Clinical Trial for Toddlers with Early Autism Characteristics.
Article in Journal of autism and developmental disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Validating the RISE Communication Play Protocol as a Diagnostic Tool for Autism in Early Childhood: A Pilot Study.Journal of autism and developmental disorders · 2026Article
- A hybrid type I randomized effectiveness-implementation trial of a Naturalistic Developmental Behavioral Intervention in the Part C early intervention system: study protocol.BMC pediatrics · 2025Article
- Adapting measures of motor imitation for use by caregivers in virtual contexts: Reliability, validity, and sensitivity to change.Autism research : official journal of the International Society for Autism Research · 2025Article
- Employing user-centered design to develop a remote technology kit for studying young children's social communication skills.Journal of pediatric psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
COVID-19 required many research teams to shift from in-person to remote assessments, which posed both procedural and theoretical challenges. While research has explored the utility of remote assessments for autism diagnosis from the perspective of families and clinicians, less is known about their application in clinical trials. This paper describes the development of a remote research assessment protocol for a randomized clinical trial focusing on the implementation of reciprocal imitation teaching (RIT) with toddlers in Part C early intervention. This project spans two phases. For Phase 1, our team developed and documented a series of steps utilizing user-centered design (UCD) strategies (e.g., recruiting potential users, creating a prototype, engaging in iterative development) for the purpose of redesigning an assessment protocol for a remote environment. For Phase 2, we examined preliminary outcomes of the redesign process. Primary end users (assessors) rated post-redesign usability and acceptability, while acceptability was examined using attrition data from secondary end users (family participants). Preliminary fidelity of implementation was also examined. The iterative redesign process allowed the research team to refine aspects of the assessment that ultimately led to promising preliminary ratings of usability, acceptability, and feasibility, as well as high fidelity. Preliminary data suggest that the redesigned assessment appears to be an acceptable, feasible, and usable tool for autism clinical trial research and that assessors can use it with fidelity. Further research is needed to examine the reliability and validity of the assessment, as well as implementation characteristics on a larger scale.
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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.