为阿片类药物使用障碍治疗人群量身定制的数字社会心理干预:范围审查。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Madison Scialanca, Karen Alexander, Babak Tofighi
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引用次数: 0

摘要

背景:共有60%的阿片类药物使用障碍(OUD)患者早期退出治疗。社会心理干预可以通过解决与早期停止治疗有关的行为和心理健康需求来加强治疗的保留,但参与干预是关键。如果设计得当,数字平台可以提高社会心理干预的参与度、覆盖面和可及性。先前对OUD治疗的回顾主要集中在结果上,例如减少药物使用,而没有确定驱动干预措施有效性的潜在行为改变原则。目的:本综述旨在记录和描述最近的数字社会心理干预措施,包括其行为改变策略,用于接受OUD (mod)药物治疗的患者。方法:使用预定义的检索词在Ovid、CINAHL和PubMed数据库中检索近10年发表的同行评议文献。数据库检索得到1381篇相关研究,应用纳入标准后仍有16篇。如果研究(1)评估了对OUD治疗患者的行为、社会心理或咨询成分的数字干预,并且(2)以英文发表在同行评议的期刊上,则纳入研究。结果:纳入的16项研究包括6项随机对照试验、6项先导研究、2项定性研究和2项回顾性队列研究。智能手机应用程序(n=8)是最普遍的干预提供方法,其他研究使用远程医疗(n=3)、虚拟现实(n=1)、电话(n=1)或短信(n=3)以同步(n=7)或异步(n=9)的方式提供心理社会干预。数字干预主要通过电话(n=1)、短信(n=2)、智能手机应用程序(n=7)或电话咨询(n=1)提供认知行为治疗教育。实施的主要行为改变策略为自我监控、反馈强化、心理教育、线索意识和提供指导。一项干预审查使用正念导向的恢复增强的证据基础。结论:研究回顾的参与者表明,他们更倾向于数字化、灵活、以患者为中心的社会心理干预,强调改善医患关系。虽然随机对照试验占研究的很大一部分,但试点研究和定性研究的纳入突出了该领域对可行性和有效性的持续探索。这些发现强调了数字卫生解决方案在社会心理护理中日益重要的作用,尽管需要进一步研究以优化参与、交付和长期结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Psychosocial Interventions Tailored for People in Opioid Use Disorder Treatment: Scoping Review.

Background: A total of 60% of patients with opioid use disorder (OUD) leave treatment early. Psychosocial interventions can enhance treatment retention by addressing behavioral and mental health needs related to early treatment discontinuation, but intervention engagement is key. If well-designed, digital platforms can increase the engagement, reach, and accessibility of psychosocial interventions. Prior reviews of OUD treatment have predominantly focused on outcomes, such as reductions in substance use, without identifying the underlying behavior change principles that drive the effectiveness of interventions.

Objective: This scoping review aims to document and describe recent digital psychosocial interventions, including their behavior change strategies, for patients receiving medication for OUD (MOUD).

Methods: Predefined search terms were used to search Ovid, CINAHL, and PubMed databases for peer-reviewed literature published in the last 10 years. The database search resulted in 1381 relevant studies, and 16 of them remained after applying the inclusion criteria. Studies were included if they (1) evaluated a digital intervention with behavioral, psychosocial, or counseling components for people in OUD treatment and (2) were published in English in peer-reviewed journals.

Results: The 16 studies reviewed comprised 6 randomized controlled trials, 6 pilot studies, 2 qualitative studies, and 2 retrospective cohort studies. Smartphone apps (n=8) were the most prevalent intervention delivery method, with other studies using telemedicine (n=3), virtual reality (n=1), telephone calls (n=1), or text messaging (n=3) to deliver psychosocial interventions in either a synchronous (n=7) or asynchronous (n=9) manner. The digital interventions reviewed predominately delivered cognitive behavioral therapy education through a phone call (n=1), a text message (n=2), a smartphone app (n=7), or tele-counseling (n=1). The predominant behavior change strategies implemented were self-monitoring, feedback and reinforcement, psychoeducation, cue awareness, and providing instruction. One intervention reviewed uses the evidence base of mindfulness-oriented recovery enhancement.

Conclusions: Participants in the studies reviewed indicated a preference for digital, flexible, patient-centered psychosocial interventions that emphasized improved patient-provider relationships. While randomized controlled trials comprised a significant portion of the studies, the inclusion of pilot studies and qualitative research highlights the field's ongoing exploration of feasibility and effectiveness. These findings underscore the growing role of digital health solutions in psychosocial care, though further research is needed to optimize engagement, delivery, and long-term outcomes.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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