• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抑郁症的认知行为沉浸式疗法:元宇宙中基于同伴指导的三臂随机对照试验方案

Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse.

作者信息

Robinson Noah, Ramos Francisco N, Hollon Steven D, Han Gloria T, Ezawa Iony D

机构信息

Department of Psychology, Vanderbilt University, Nashville, TN, United States.

Department of Psychology, University of Southern California, Los Angeles, CA, United States.

出版信息

JMIR Res Protoc. 2025 May 6;14:e65970. doi: 10.2196/65970.

DOI:10.2196/65970
PMID:40327374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12093068/
Abstract

BACKGROUND

Depression and anxiety are among the most common mental health concerns globally. Efficacious treatments such as cognitive behavioral therapy exist but remain difficult to access and scale. Cognitive behavioral immersion (CBI)-a cognitive behavioral skills training intervention delivered by peer coaches in the metaverse-has been developed to address these barriers. CBI can be used through a virtual reality headset or via flat-screen devices such as phones, tablets, or computers. Pilot data have established its usability among participants with clinical levels of depression and anxiety. However, more research is needed to determine whether CBI causes decreases in these symptoms and how delivery via virtual reality compares to flat-screen devices.

OBJECTIVE

This protocol aims to conduct a randomized controlled trial evaluating the efficacy of immersive CBI accessed via a virtual reality headset (CBI-VR) as compared to a less immersive (but more accessible) CBI condition accessed via a flat-screen device (CBI-FS) and each to a delayed access control (DAC).

METHODS

A total of 306 adults experiencing clinical levels of depressive symptoms are being recruited nationally to participate in this web-based trial. Participants will be randomized according to a 1:1:1 ratio to one of three conditions: (1) CBI-VR, (2) CBI-FS, and (3) DAC. The CBI program consists of eight weekly 60-minute group sessions led by trained peer coaches who teach cognitive behavioral skills. The acute period of each condition will last 8 weeks with a follow-up period of 6 months. The primary outcome is depressive symptoms; secondary outcomes are anxiety symptoms and quality of life. Outcomes will be assessed once at baseline, weekly during the course of the intervention, and monthly during follow-ups. We will use hierarchical linear models to assess differences in the rate of symptom change among conditions. We will also explore potential prognostic (demographics and immersion) and prescriptive (cognitive behavioral skills, group alliance, and program engagement) predictors, as well as potential mechanisms (cognitive change and social support) of response.

RESULTS

We hypothesize that participants randomized to either CBI group will experience greater symptom improvement than those in DAC and that CBI-VR participants will improve more than CBI-FS participants. This study was funded in September 2023. Data collection began in February 2024. As of January 2025, all 306 participants have been enrolled. Data collection should conclude by September 2025. Data have not yet been analyzed. Expected results to be submitted for publication in the winter of 2025.

CONCLUSIONS

This trial will determine if CBI via either device is efficacious as compared to DAC and whether virtual reality enhances outcomes. Findings will contribute to the literature on using the metaverse and virtual reality to facilitate effective accessible mental health interventions, particularly for depression.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06418997; https://clinicaltrials.gov/study/NCT06418997.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65970.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be98/12093068/dcd8ba71c6d1/resprot_v14i1e65970_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be98/12093068/dcd8ba71c6d1/resprot_v14i1e65970_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be98/12093068/dcd8ba71c6d1/resprot_v14i1e65970_fig1.jpg
摘要

背景

抑郁症和焦虑症是全球最常见的心理健康问题。虽然存在如认知行为疗法等有效治疗方法,但这些方法仍难以获得且难以推广。为解决这些障碍,人们开发了认知行为沉浸式疗法(CBI)——一种由同伴教练在元宇宙中提供的认知行为技能培训干预措施。CBI可通过虚拟现实头显使用,也可通过手机、平板电脑或电脑等平面屏幕设备使用。初步数据已证实其在患有临床水平抑郁症和焦虑症的参与者中的可用性。然而,需要更多研究来确定CBI是否能减轻这些症状,以及通过虚拟现实设备与平面屏幕设备进行治疗的效果对比。

目的

本方案旨在进行一项随机对照试验,评估通过虚拟现实头显进行的沉浸式CBI(CBI-VR)与通过平面屏幕设备进行的沉浸式程度较低(但更易获得)的CBI(CBI-FS)以及各自与延迟接入对照组(DAC)相比的疗效。

方法

全国范围内共招募306名有临床水平抑郁症状的成年人参与这项基于网络的试验。参与者将按1:1:1的比例随机分为三个组:(1)CBI-VR组,(2)CBI-FS组,(3)DAC组。CBI项目包括由经过培训的同伴教练主持的为期八周、每周60分钟的小组课程,教练会教授认知行为技能。每个组的急性期将持续8周,随访期为6个月。主要结局指标是抑郁症状;次要结局指标是焦虑症状和生活质量。结局指标将在基线时评估一次,干预期间每周评估一次,随访期间每月评估一次。我们将使用分层线性模型来评估各组症状变化率的差异。我们还将探索潜在的预后因素(人口统计学和沉浸程度)和处方因素(认知行为技能、小组联盟和项目参与度)预测指标,以及反应的潜在机制(认知改变和社会支持)。

结果

我们假设随机分配到任一CBI组的参与者比DAC组的参与者症状改善更明显,且CBI-VR组的参与者比CBI-FS组的参与者改善更多。本研究于2023年9月获得资助。数据收集于2024年2月开始。截至2025年1月,306名参与者均已入组。数据收集应于2025年9月结束。数据尚未进行分析。预计结果将于2025年冬季提交发表。

结论

本试验将确定与DAC相比,通过任一设备进行的CBI是否有效,以及虚拟现实是否能改善治疗效果。研究结果将为利用元宇宙和虚拟现实促进有效的可及心理健康干预措施,尤其是针对抑郁症的干预措施的文献做出贡献。

试验注册

ClinicalTrials.gov NCT06418997;https://clinicaltrials.gov/study/NCT06418997。

国际注册报告识别码(IRRID):DERR1-10.2196/65970。

相似文献

1
Cognitive Behavioral Immersion for Depression: Protocol for a Three-Arm Randomized Controlled Trial of Peer-Based Coaching in the Metaverse.抑郁症的认知行为沉浸式疗法:元宇宙中基于同伴指导的三臂随机对照试验方案
JMIR Res Protoc. 2025 May 6;14:e65970. doi: 10.2196/65970.
2
Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study.认知行为沉浸中抑郁和焦虑症状变化的预测因素研究:观察性研究。
JMIR Ment Health. 2023 Jul 14;10:e42377. doi: 10.2196/42377.
3
Web-Based Mindfulness-Based Cognitive Therapy for Adults With a History of Depression: Protocol for a Randomized Controlled Trial.基于网络的正念认知疗法治疗有抑郁病史的成年人:一项随机对照试验方案。
JMIR Res Protoc. 2024 Jun 18;13:e53966. doi: 10.2196/53966.
4
Layperson-Supported, Web-Delivered Cognitive Behavioral Therapy for Depression in Older Adults: Randomized Controlled Trial.非专业人员支持的、通过网络提供的针对老年人抑郁症的认知行为疗法:随机对照试验
J Med Internet Res. 2024 Mar 4;26:e53001. doi: 10.2196/53001.
5
Examining a Telemedicine-Based Virtual Reality Clinic in Treating Adults With Specific Phobia: Protocol for a Feasibility Randomized Controlled Efficacy Trial.基于远程医疗的虚拟现实诊所治疗成人特定恐惧症:可行性随机对照疗效试验方案
JMIR Res Protoc. 2025 Apr 10;14:e65770. doi: 10.2196/65770.
6
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
7
Self-Administered Behavioral Skills-Based At-Home Virtual Reality Therapy for Chronic Low Back Pain: Protocol for a Randomized Controlled Trial.基于自我管理行为技能的慢性腰痛居家虚拟现实疗法:一项随机对照试验方案
JMIR Res Protoc. 2021 Jan 19;10(1):e25291. doi: 10.2196/25291.
8
Cognitive Behavioral Immersion for Substance Use Disorders: A Feasibility and Pilot Study of a Peer-Based Coaching Program in the Metaverse.认知行为沉浸式药物使用障碍治疗:元宇宙中基于同伴的教练计划的可行性和初步研究。
Games Health J. 2023 Oct;12(5):397-404. doi: 10.1089/g4h.2022.0214. Epub 2023 Jun 9.
9
An Immersive Virtual Reality Intervention for Preoperative Anxiety and Distress Among Adults Undergoing Oncological Surgery: Protocol for a 3-Phase Development and Feasibility Trial.沉浸式虚拟现实干预在减轻成人接受肿瘤手术前焦虑和痛苦中的应用:3 期开发和可行性试验的方案。
JMIR Res Protoc. 2024 May 14;13:e55692. doi: 10.2196/55692.
10
Sleep Treatment Education Program for Cancer Survivors: Protocol for an Efficacy Trial.癌症幸存者睡眠治疗教育计划:一项疗效试验方案。
JMIR Res Protoc. 2024 Nov 28;13:e60762. doi: 10.2196/60762.

本文引用的文献

1
Prevalence Increases as Treatments Improve: An Evolutionary Perspective on the Treatment-Prevalence Paradox in Depression.随着治疗方法的改进,患病率增加:从进化角度看抑郁症治疗-患病率悖论。
Annu Rev Clin Psychol. 2024 Jul;20(1):201-228. doi: 10.1146/annurev-clinpsy-080822-040442.
2
Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study.认知行为沉浸中抑郁和焦虑症状变化的预测因素研究:观察性研究。
JMIR Ment Health. 2023 Jul 14;10:e42377. doi: 10.2196/42377.
3
Cognitive Behavioral Immersion for Substance Use Disorders: A Feasibility and Pilot Study of a Peer-Based Coaching Program in the Metaverse.
认知行为沉浸式药物使用障碍治疗:元宇宙中基于同伴的教练计划的可行性和初步研究。
Games Health J. 2023 Oct;12(5):397-404. doi: 10.1089/g4h.2022.0214. Epub 2023 Jun 9.
4
Cognitive behavior therapy vs. control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: a comprehensive meta-analysis including 409 trials with 52,702 patients.认知行为疗法与抑郁症的对照条件、其他心理疗法、药物疗法及联合治疗的比较:一项纳入409项试验、52702例患者的综合荟萃分析
World Psychiatry. 2023 Feb;22(1):105-115. doi: 10.1002/wps.21069.
5
Trends in U.S. Depression Prevalence From 2015 to 2020: The Widening Treatment Gap.美国 2015 年至 2020 年期间抑郁症患病率趋势:治疗差距扩大。
Am J Prev Med. 2022 Nov;63(5):726-733. doi: 10.1016/j.amepre.2022.05.014. Epub 2022 Sep 19.
6
Strategies to improve access to cognitive behavioral therapies for anxiety disorders: A scoping review.改善焦虑障碍认知行为疗法获取途径的策略:范围综述。
PLoS One. 2022 Mar 1;17(3):e0264368. doi: 10.1371/journal.pone.0264368. eCollection 2022.
7
Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.数字心理健康干预措施中用户参与的障碍和促进因素:系统评价。
J Med Internet Res. 2021 Mar 24;23(3):e24387. doi: 10.2196/24387.
8
Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis.基于互联网的抑郁症认知行为疗法:系统评价和个体患者数据网络荟萃分析。
JAMA Psychiatry. 2021 Apr 1;78(4):361-371. doi: 10.1001/jamapsychiatry.2020.4364.
9
Predictors of Dropout in Internet-Based Cognitive Behavioral Therapy for Depression.基于互联网的抑郁症认知行为疗法中脱落的预测因素
Cognit Ther Res. 2019 Jun;43(3):620-630. doi: 10.1007/s10608-018-9979-5. Epub 2018 Nov 16.
10
The REDCap consortium: Building an international community of software platform partners.REDCap 联盟:构建软件平台合作伙伴的国际社区。
J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.