虚拟现实中的阿凡达干预治疗严重精神障碍患者的大麻使用障碍:为期一年的单臂临床试验结果。

IF 4.8 2区 医学 Q1 PSYCHIATRY Jmir Mental Health Pub Date : 2024-11-27 DOI:10.2196/58499
Sabrina Giguere, Mélissa Beaudoin, Laura Dellazizzo, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais
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引用次数: 0

摘要

背景:大麻使用障碍(CUD)和严重精神障碍(SMD)的双重诊断导致了临床上复杂的个体。众所周知,吸食大麻会对精神症状、服药依从性和疾病预后产生负面影响。此外,目前可用的心理治疗方法对这一人群的疗效有限。在这种情况下,我们的研究团队开发了虚拟现实干预方法,将虚拟现实作为一种治疗工具,用于治疗 SMD 患者的 CUD:这项试点临床试验旨在对 32 名同时患有 SMD 和 CUD 双重诊断的参与者进行为期 1 年的随访,以评估虚拟现实干预对 CUD 的疗效:在 8 个干预疗程中,参与者有机会在虚拟现实中与在其消费中扮演重要角色的化身进行对话,该化身由治疗师实时制作成动画。主要结果是大麻的消费数量和使用频率。次要结果包括问题大麻使用的严重程度、改变动机、大麻使用的保护策略、大麻使用的后果、精神症状和生活质量。使用线性混合效应模型评估了在干预前、干预后、干预结束后 3、6 和 12 个月的评估期间所报告结果的变化:结果:观察到大麻消费数量显著减少,而且这种减少一直维持到 12 个月的随访(d=0.804;PC 结论:总的来说,这种独特的干预措施显示出良好的前景:总体而言,这一独特的干预措施显示出了良好的效果,在干预措施结束后的 12 个月内似乎仍能保持。为了克服试点研究在方法上的局限性,目前正在进行一项单盲随机对照试验,将针对 CUD 的阿凡达干预措施与传统的成瘾干预措施进行比较。
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Avatar Intervention in Virtual Reality for Cannabis Use Disorder in Individuals With Severe Mental Disorders: Results From a 1-Year, Single-Arm Clinical Trial.

Background: The dual diagnosis of cannabis use disorder (CUD) and severe mental disorder (SMD) results in clinically complex individuals. Cannabis use is known to have negative consequences on psychiatric symptoms, medication compliance, and disease prognosis. Moreover, the effectiveness of currently available psychotherapeutic treatments is limited in this population. In this context, our research team developed avatar intervention, an approach using virtual reality as a therapeutic tool to treat CUD in individuals with SMD.

Objective: This pilot clinical trial aimed to evaluate, until the 1-year follow-up, the efficacy of avatar intervention for CUD among 32 participants with a dual diagnosis of SMD and CUD.

Methods: Over the course of the 8 intervention sessions, participants were given the opportunity to enter a dialogue in virtual reality with an avatar representing a person with a significant role in their consumption, who was animated in real time by a therapist. The primary outcomes were the quantity of cannabis consumed and the frequency of use. Secondary outcomes included severity of problematic cannabis use, motivation for change, protective strategies for cannabis use, consequences of cannabis use, psychiatric symptoms, and quality of life. Changes in reported outcomes during the assessment periods before the intervention; postintervention; and 3, 6, and 12 months after the end of the intervention were assessed using a linear mixed-effects model.

Results: Significant reductions were observed in the quantity of cannabis consumed, and these were maintained until the 12-month follow-up visit (d=0.804; P<.001; confirmed by urine quantification). Frequency of cannabis use showed a small significant reduction at the 3-month follow-up (d=0.384; P=.03). Moreover, improvements were observed in the severity of CUD, cannabis-related negative consequences, the motivation to change cannabis use, and the strategies used to mitigate harms related to cannabis use. Finally, moderate benefits were observed for quality of life and psychiatric symptoms.

Conclusions: Overall, this unique intervention shows promising results that seem to be maintained up to 12 months after the end of the intervention. With the aim of overcoming the methodological limitations of a pilot study, a single-blind randomized controlled trial is currently underway to compare the avatar intervention for CUD with a conventional addiction intervention.

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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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