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将具有生活体验的个体纳入共病抑郁和大麻使用数字干预措施的开发中:混合方法研究。

Inclusion of Individuals With Lived Experiences in the Development of a Digital Intervention for Co-Occurring Depression and Cannabis Use: Mixed Methods Investigation.

机构信息

Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.

Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.

出版信息

JMIR Form Res. 2024 Oct 7;8:e54751. doi: 10.2196/54751.

Abstract

BACKGROUND

Existing interventions for co-occurring depression and cannabis use often do not treat both disorders simultaneously and can result in higher rates of symptom relapse. Traditional in-person interventions are often difficult to obtain due to financial and time limitations, which may further prevent individuals with co-occurring depression and cannabis use from receiving adequate treatment. Digital interventions can increase the scalability and accessibility for these individuals, but few digital interventions exist to treat both disorders simultaneously. Targeting transdiagnostic processes of these disorders with a digital intervention-specifically positive valence system dysfunction-may yield improved access and outcomes.

OBJECTIVE

Recent research has highlighted a need for the inclusion of individuals with lived experiences to assist in the co-design of interventions to enhance scalability and relevance of an intervention. Thus, the purpose of this study is to describe the process of eliciting feedback from individuals with elevated depressed symptoms and cannabis use and co-designing a digital intervention, Amplification of Positivity-Cannabis Use Disorder (AMP-C), focused on improving positive valence system dysfunction in these disorders.

METHODS

Ten individuals who endorsed moderate to severe depressive symptoms and regular cannabis use (2-3×/week) were recruited online via Meta ads. Using a mixed methods approach, participants completed a 1-hour mixed methods interview over Zoom (Zoom Technologies Inc) where they gave their feedback and suggestions for the development of a mental health app, based on an existing treatment targeting positive valence system dysfunction, for depressive symptoms and cannabis use. The qualitative approach allowed for a broader investigation of participants' wants and needs regarding the engagement and scalability of AMP-C, and the quantitative approach allowed for specific ratings of intervention components to be potentially included.

RESULTS

Participants perceived the 13 different components of AMP-C as overall helpful (mean 3.9-4.4, SD 0.5-1.1) and interesting (mean 4.0-4.9, SD 0.3-1.1) on a scale from 1 (not at all) to 5 (extremely). They gave qualitative feedback for increasing engagement in the app, including adding a social component, using notifications, and being able to track their symptoms and progress over time.

CONCLUSIONS

This study highlights the importance of including individuals with lived experiences in the development of interventions, including digital interventions. This inclusion resulted in valuable feedback and suggestions for improving the proposed digital intervention targeting the positive valence system, AMP-C, to better match the wants and needs of individuals with depressive symptoms and cannabis use.

摘要

背景

现有的同时针对抑郁和大麻使用共病的干预措施往往不能同时治疗这两种疾病,并且可能导致更高的症状复发率。由于经济和时间的限制,传统的面对面干预措施往往难以获得,这可能进一步阻止同时患有抑郁和大麻使用障碍的人接受足够的治疗。数字干预措施可以提高这些人的可及性和可扩展性,但很少有数字干预措施同时针对这两种疾病。针对这些疾病的共病过程进行数字干预,特别是针对积极情绪系统功能障碍进行干预,可能会改善可及性和治疗效果。

目的

最近的研究强调需要纳入有过生活经验的人来协助干预措施的共同设计,以提高干预措施的可扩展性和相关性。因此,本研究的目的是描述从有抑郁症状和大麻使用的个体中获取反馈并共同设计数字干预措施的过程,该数字干预措施聚焦于改善这些疾病中的积极情绪系统功能障碍,称为 AMP-C。

方法

通过 Meta 广告在线招募了 10 名报告有中度至重度抑郁症状和定期大麻使用(每周 2-3 次)的个体。使用混合方法,参与者通过 Zoom(Zoom Technologies Inc)完成了 1 小时的混合方法访谈,根据针对积极情绪系统功能障碍的现有治疗方法,他们为心理健康应用程序的开发提供了反馈和建议,该应用程序针对抑郁症状和大麻使用。定性方法允许更广泛地调查参与者对 AMP-C 的参与和可扩展性的需求和期望,而定量方法允许对潜在包含的干预措施组件进行特定评分。

结果

参与者认为 AMP-C 的 13 个不同组件总体上是有帮助的(平均 3.9-4.4,SD 0.5-1.1)和有趣的(平均 4.0-4.9,SD 0.3-1.1),评分范围为 1(一点也不)到 5(非常)。他们对提高应用程序的参与度提出了定性反馈,包括添加社交组件、使用通知以及能够随时间跟踪症状和进展。

结论

这项研究强调了在干预措施的开发中纳入有生活经验的个体的重要性,包括数字干预措施。这种纳入产生了有价值的反馈和建议,以改进针对积极情绪系统的拟议数字干预措施 AMP-C,使其更好地满足有抑郁症状和大麻使用的个体的需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4c5/11514326/81bb390696f6/formative_v8i1e54751_fig1.jpg

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