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SpeechMatch——一种支持神经多样性群体交流的新型数字方法。

SpeechMatch-A novel digital approach to supporting communication for neurodiverse groups.

作者信息

Lennard Sarah, Tromans Samuel J, Taub Robert, Mitchell Sarah, Shankar Rohit

机构信息

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.

出版信息

Healthc Technol Lett. 2024 Sep 5;11(6):447-451. doi: 10.1049/htl2.12090. eCollection 2024 Dec.

DOI:10.1049/htl2.12090
PMID:39720753
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11665792/
Abstract

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.

摘要

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。

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本文引用的文献

1
Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.全球、区域和国家神经障碍疾病负担,1990-2021 年:2021 年全球疾病负担研究的系统分析。
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Global prevalence of autism: A systematic review update.全球自闭症患病率:系统综述更新。
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Barriers to Autism Spectrum Disorder Diagnosis for Young Women and Girls: a Systematic Review.年轻女性和女童自闭症谱系障碍诊断的障碍:一项系统综述。
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7
Reduced Language Lateralization in Autism and the Broader Autism Phenotype as Assessed with Robust Individual-Subjects Analyses.自闭症和更广泛自闭症谱系障碍中语言侧化的减少,通过稳健的个体受试者分析进行评估。
Autism Res. 2020 Oct;13(10):1746-1761. doi: 10.1002/aur.2393. Epub 2020 Sep 15.
8
Autistic peer-to-peer information transfer is highly effective.自闭症患者之间的信息传递非常有效。
Autism. 2020 Oct;24(7):1704-1712. doi: 10.1177/1362361320919286. Epub 2020 May 20.
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The future incidence, prevalence and costs of stroke in the UK.英国未来的中风发病率、患病率和成本。
Age Ageing. 2020 Feb 27;49(2):277-282. doi: 10.1093/ageing/afz163.
10
Testing adults by questionnaire for social and communication disorders, including autism spectrum disorders, in an adult mental health service population.在成人心理健康服务人群中,通过问卷测试成年人的社交和沟通障碍,包括自闭症谱系障碍。
Int J Methods Psychiatr Res. 2020 Mar;29(1):e1814. doi: 10.1002/mpr.1814. Epub 2020 Jan 10.