STOP- Successful Treatment Of Paranoia: Replacing harmful paranoid thoughts with better alternatives

停止-成功治疗偏执狂：用更好的选择取代有害的偏执想法

• 批准号: MR/V027484/1
• 负责人: Jenny Yiend
• 金额: $ 232.27万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FV027484%2F1
• 关键词: STOP; Successful; Treatment; Paranoia; Replacing

Paranoia is linked to several mental health conditions, including psychosis and leads to distress and impairment in work, family and social functioning. Recent advances in thinking suggest that treatments might be more effective if they focus on one particular symptom at a time and try to treat that rather than trying to treat the whole disorder in one go. This study proposes to develop and test a mobile app version of a new therapy for paranoia called CBM-pa. CBM-pa is a self-administered psychological therapy that has been developed by combining basic research on biases in paranoia with established techniques that can change these biases. CBM-pa is computerised and involves reading text that could be interpreted in a paranoid way (such as the stare of a stranger which could reflect harmful intentions). The therapy encourages readers to make the alternative interpretation (such as the stare reflecting harmless curiosity) by using word tasks and questions. A six-session version has been developed and a feasibility study has been completed with promising results. In year 1 of this study we will develop CBM-pa into a more accessible and engaging 12- session app for mobile phones, called STOP: Successful Treatment of Paranoia, by adding 6 newly created sessions. In years 2-4 we will give patients STOP alongside their usual treatment and compare this with a control condition where patients simply read text in the mobile app instead. The study uses a randomised controlled design and patients are recruited from two different UK sites. Participants will receive either 6 or 12 sessions of STOP and we will measure clinical symptoms immediately and at 3 and 6 months later. These treatment data will be compared with data from similar people who take part in a control condition (reading text in the app) and are assessed at the same times. The data will show us whether there are any beneficial effects of STOP and, if so, how long they last. We will also measure in more detail exactly how many sessions produce enough symptom reduction to be clinically useful.

偏执狂与包括精神病在内的几种精神健康状况有关，并导致工作、家庭和社会功能的痛苦和损害。思维的最新进展表明，如果每次只关注一种特定的症状，并试图治疗它，而不是试图一次性治疗整个疾病，治疗可能会更有效。这项研究建议开发和测试一种名为CBM-pa的偏执新疗法的移动应用程序版本。CBM-pa是一种自我给予的心理疗法，是通过将偏执狂偏见的基础研究与可以改变这些偏见的既定技术相结合而开发出来的。CBM-pa是计算机化的，包括阅读可能以偏执方式解释的文本（例如陌生人的凝视可能反映出有害的意图）。这种疗法鼓励读者通过文字任务和问题来做出另一种解释（比如凝视反映出无害的好奇心）。已经编制了六届会议的版本，并完成了可行性研究，结果令人鼓舞。在这项研究的第一年，我们将通过增加6个新创建的会话，将CBM-pa开发成一个更易于访问和吸引人的手机12会话应用程序，称为STOP：成功治疗偏执。在第2-4年，我们将在常规治疗的同时对患者进行STOP，并将其与对照条件进行比较，对照条件是患者只需在移动应用程序中阅读文本。该研究采用随机对照设计，患者来自英国两个不同的地点。参与者将接受6或12次STOP治疗，我们将在3个月和6个月后立即测量临床症状。这些治疗数据将与参与控制条件（在应用程序中阅读文本）的类似人群的数据进行比较，并同时进行评估。数据将告诉我们STOP是否有任何有益的效果，如果有的话，持续多久。我们还将更详细地测量，究竟有多少次治疗产生了足够的症状减轻，从而在临床上有用。

项目成果

STOP user guide - researchers

STOP 用户指南 - 研究人员

• 发表时间: 2022
• 作者: Yiend, J.

Anxiety mediates the relationship between interpretation bias and paranoia in patients with persistent persecutory beliefs.

焦虑介导了有持续迫害信念的患者的解释偏差和偏执之间的关系。

• DOI: 10.1080/10615806.2020.1802435
• 发表时间: 2021
• 期刊: Anxiety, stress, and coping
• 作者: Lam CLM

Cognitive bias modification for paranoia (CBM-Pa): Replacing harmful paranoid thoughts with better alternatives

偏执认知偏差修正（CBM-Pa）：用更好的选择取代有害的偏执想法

• 发表时间: 2022
• 作者: Hsu, C. W.

Personalized cognitive training: Protocol for individual-level meta-analysis implementing machine learning methods.

个性化认知训练：实施机器学习方法的个人级元分析协议。

• DOI: 10.1016/j.jpsychires.2021.03.043
• 发表时间: 2021
• 期刊: Journal of psychiatric research
• 影响因子: 4.8
• 作者: Shani R

User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia.

• DOI: 10.2196/45453
• 发表时间: 2023-12-08
• 期刊: JMIR human factors
• 影响因子: 2.7