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Feasibility study for a novel mental health (psychosis) digital screening solution to improve the care and safety associated with mental illness.

Feasibility study for a novel mental health (psychosis) digital screening solution to improve the care and safety associated with mental illness.
新型心理健康(精神病)数字筛查解决方案的可行性研究,以改善与精神疾病相关的护理和安全。
批准号:
10044891
负责人:
金额:
$6.31万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
该应用程序的重点是开发新的方法来了解谁可能有精神障碍的风险。精神病是一种极具挑战性的心理健康状况,通常会导致个体患有幻觉和妄想。精神病发作可能是非常危险的,并导致改变生活的创伤和死亡。这种情况对个人,家人,亲人和医疗保健系统都是巨大的负担。今天发现精神病警告信号的唯一方法是直接咨询医疗保健专业人员。因此,在我们的社会中,有许多人患有未确诊的早期精神病,这对他们自己和周围的人都构成了重大风险。提出这一申请的申请人是使用数字技术检测精神病的领先研究人员。简而言之,这个团队正在开发一套直观的任务,提示一个人对着移动的手机说话,并记录一个人的语音模式。他们的初步研究表明,原则上,软件可以分析这些口头反应,并确定一个人是否有低,中或高的精神病风险。最终目标是开发一种简单且低成本的应用程序,可用于患者快速评估其精神病风险。这将使高风险的人能够被识别为相关的医疗干预。这个研究小组已经成立了一家公司来开发这个软件。开发的关键下一步是进行可行性研究,以确定他们的软件原型是否能够从一组志愿者用户中区分健康和高风险人群。随附的应用程序专注于一项研发计划,以测试和改进软件的诊断性能。如果该团队能够成功证明该软件在原则上有效,他们将处于更有利的位置,以获得临床医生和投资者的支持。他们将能够获得开展正式临床研究所需的支持,以证明该解决方案的优势及其对医疗保健提供者的价值。
英文摘要
This application is focused on the development of novel ways of understanding who might be at risk of having psychotic disorders. Psychosis is a highly challenging mental health condition and will typically result in the individual suffering from hallucinations and delusions. Psychotic episodes can be incredibly dangerous and lead to life changing trauma and fatalities. The condition is a huge burden on the individual, their family, loved ones and the healthcare system. The only way of spotting the warning signs of psychosis today is via direct consultation with a healthcare professional. Consequently, there are many in our society with undiagnosed early-stage psychosis, which poses significant risks to both themselves and those around them.The applicants, presenting this application, are leading researchers in the use of digital technologies for the detection of psychosis. In simple terms, this team is developing a set of intuitive tasks that prompt one to speak into a mobile phone and record one's speech patterns. Their initial research has shown that it is then, in principle, possible for software to analyse these spoken responses and determine whether an individual has low, medium or high risk of psychosis. The ultimate goal is to develop a simple and low cost application that can be prescribed to patients to quickly evaluate their risk of psychosis. This would enable high risk individuals to be identified for relevant medical intervention.This team of researchers has started a company to develop this software. The vital next step in the development is to conduct a feasibility study to determine if their software prototype is able to discriminate between healthy and higher risk persons from a group of volunteer users. The enclosed application is focused on a programme of R&D to test and refine the diagnostic performance of the software.If the team is able to successfully demonstrate that the software works in principle, they will be in a far better position to gain support from clinicians and investors. They will be able to secure the support they need to conduct the formal clinical studies needed to demonstrate the benefits of the solution and its value to healthcare providers.
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