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参与针对精神病的在线心理社会干预：相关因素的综述与综合分析

Engagement with online psychosocial interventions for psychosis: A review and synthesis of relevant factors.

作者信息

Arnold Chelsea, Farhall John, Villagonzalo Kristi-Ann, Sharma Kriti, Thomas Neil

机构信息

Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia.

Department of Psychology and Counselling, La Trobe University, Melbourne, Australia.

出版信息

Internet Interv. 2021 Jun 5;25:100411. doi: 10.1016/j.invent.2021.100411. eCollection 2021 Sep.

DOI:10.1016/j.invent.2021.100411
PMID:34401370
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8350605/
Abstract

BACKGROUND

Little is known about factors associated with engagement with online interventions for psychosis. This review aimed to synthesise existing data from relevant literature to develop a working model of potential variables that may impact on engagement with online interventions for psychosis.

METHODS

Online databases were searched for studies relevant to predictors of engagement with online interventions for psychosis; predictors of Internet use amongst individuals with psychosis; and predictors of engagement with traditional psychosocial treatments for psychosis. Data were synthesised into a conceptual model highlighting factors relevant to engagement with online interventions for psychosis.

RESULTS

Sixty-one studies were identified. Factors relevant to engagement related directly to the impact of psychosis, response to psychosis, integration of technology into daily lives and intervention aspects.

CONCLUSION

While several candidate predictors were identified, there is minimal research specifically investigated predictors of engagement with online interventions for psychosis. Further investigation examining both individual- and intervention-related factors is required to inform effective design and dissemination of online interventions for psychosis.

摘要

背景

关于与精神病在线干预参与度相关的因素，人们了解甚少。本综述旨在综合相关文献中的现有数据，以建立一个可能影响精神病在线干预参与度的潜在变量工作模型。

方法

在在线数据库中搜索与精神病在线干预参与度预测因素、精神病患者互联网使用预测因素以及精神病传统心理社会治疗参与度预测因素相关的研究。数据被综合成一个概念模型，突出与精神病在线干预参与度相关的因素。

结果

共识别出61项研究。与参与度相关的因素直接涉及精神病的影响、对精神病的反应、技术融入日常生活以及干预方面。

结论

虽然确定了几个候选预测因素，但专门研究精神病在线干预参与度预测因素的研究极少。需要进一步调查个体和干预相关因素，以为精神病在线干预的有效设计和传播提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8350605/80b29e29eb19/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8350605/e3fd9c1363e3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8350605/80b29e29eb19/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8350605/e3fd9c1363e3/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b60/8350605/80b29e29eb19/gr2.jpg

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