Lennard Sarah, Tromans Samuel J, Taub Robert, Mitchell Sarah, Shankar Rohit
Department of Intellectual Disability Neuropsychiatry, Research Team Cornwall Partnership NHS Foundation Trust Truro UK.
Cornwall Intellectual Disability Equitable Research (CIDER) University of Plymouth Peninsula School of Medicine Truro UK.
Healthc Technol Lett. 2024 Sep 5;11(6):447-451. doi: 10.1049/htl2.12090. eCollection 2024 Dec.
Communication can be a challenge for a significant minority of the population. Those with intellectual disability, autism, or Stroke survivors can encounter significant problems and stigma in their communication abilities leading to worse health and social outcomes. SpeechMatch (https://www.speechmatch.com/) is a digital App which is a pragmatic mobile language training platform that teaches individuals to "match" critical components of conversation and looks to provides subjects with immediate visual feedback to shape identification and expression of emotion in speech. While it has been used in autistic people there has been no systematic exploration of its strengths and weaknesses. Further, it's potential to afford improvements in communication to other vulnerable groups such as intellectual disability or Stroke survivors has not been explored. This study looked to understand acceptability from people with intellectual disability and/or autism and those recovering from a stroke on the utility and scope of SpeechMatch using co-production techniques using experts by experience and a mixed methods evaluation. Results across four domains suggest high acceptability levels but highlighting needs for platform capabilities improvement and better user engagement. The study outlines a vital and essential aspect for improving SpeechMatch. It gives a template for evidenced based quality improvement of similar devices.
对于相当一部分人来说,沟通可能是一项挑战。那些有智力障碍、自闭症的人或中风幸存者在沟通能力方面可能会遇到重大问题和污名化,从而导致更差的健康和社会结果。SpeechMatch(https://www.speechmatch.com/)是一款数字应用程序,是一个实用的移动语言训练平台,它教人们“匹配”对话的关键组成部分,并希望为用户提供即时视觉反馈,以塑造言语中情感的识别和表达。虽然它已被用于自闭症患者,但尚未对其优缺点进行系统探索。此外,它在改善其他弱势群体(如智力障碍者或中风幸存者)沟通方面的潜力也未得到探索。本研究旨在通过采用经验专家共同制作技术和混合方法评估,了解智力障碍和/或自闭症患者以及中风康复者对SpeechMatch的实用性和范围的接受程度。四个领域的结果表明接受程度较高,但也突出了平台功能改进和更好用户参与度的需求。该研究概述了改进SpeechMatch的一个至关重要的方面。它为类似设备基于证据的质量改进提供了一个模板。