ArticleScientific reports2025
I speak Tele outlines the design of a digitized dysarthria assessment.
Article in Scientific reports, 2025. 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 1 paper.
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
1 citing paper in PubMed.
- Automatic Speech Recognition and Acoustic Analysis for Dysarthria Assessment in Telerehabilitation: User-Centered Design and Usability Study.JMIR formative research · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is a leading cause of disability worldwide, leaving many survivors with chronic neurological deficits that restrict their daily activities. Telerehabilitation offers an opportunity to improve access to care, reducing travel burdens and fostering ongoing therapy in diverse settings. Speech and language telerehabilitation specifically benefits those with communication disorders such as dysarthria. However, widespread reliance on manual, paper-based documentation and subjective evaluations remains a significant challenge for remote speech and language therapy. To address this, we identified the specific requirements of various stakeholders and employed a user-centred design approach to develop a digital tool that integrates note-taking, time measurement, and audio/video recording within a single interface. By prioritizing the needs of speech-language pathologists (SLPs), researchers, and IT specialists, the resulting prototype streamlines common tasks, enhances data consistency, and delivers high usability. In testing, SLPs reported a reduction in assessment times from 50 to 35 min, while the average System Usability Scale score exceeded industry benchmarks, indicating strong acceptance. By enabling automated scoring, data export, and potential interoperability with healthcare systems, this tool foster more comprehensive patient monitoring. Future iterations will incorporate a secure backend and support for additional assessments, potentially transforming remote speech and language therapy.
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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.