利用个人技术治疗精神分裂症谱系障碍:范围审查》。

IF 4.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2024-09-30 DOI:10.2196/57150
Jessica D'Arcey, John Torous, Toni-Rose Asuncion, Leah Tackaberry-Giddens, Aqsa Zahid, Mira Ishak, George Foussias, Sean Kidd
{"title":"利用个人技术治疗精神分裂症谱系障碍:范围审查》。","authors":"Jessica D'Arcey, John Torous, Toni-Rose Asuncion, Leah Tackaberry-Giddens, Aqsa Zahid, Mira Ishak, George Foussias, Sean Kidd","doi":"10.2196/57150","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Digital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.</p><p><strong>Objective: </strong>This review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.</p><p><strong>Methods: </strong>Given the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.</p><p><strong>Results: </strong>This search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.</p><p><strong>Conclusions: </strong>Overall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.</p>","PeriodicalId":48616,"journal":{"name":"Jmir Mental Health","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review.\",\"authors\":\"Jessica D'Arcey, John Torous, Toni-Rose Asuncion, Leah Tackaberry-Giddens, Aqsa Zahid, Mira Ishak, George Foussias, Sean Kidd\",\"doi\":\"10.2196/57150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Digital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.</p><p><strong>Objective: </strong>This review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.</p><p><strong>Methods: </strong>Given the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.</p><p><strong>Results: </strong>This search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.</p><p><strong>Conclusions: </strong>Overall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.</p>\",\"PeriodicalId\":48616,\"journal\":{\"name\":\"Jmir Mental Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jmir Mental Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2196/57150\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jmir Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/57150","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

摘要

背景:数字心理健康是一个快速发展的领域,由于其潜在的可扩展性和对心理健康护理的影响,其证据基础不断增加。此外,在资金不足的服务系统中,利用个人技术来提供或支持专门服务的提供已作为一种可行且具有成本效益的改善手段而备受关注。随着精神分裂症患者技术拥有率的提高,数字健康的相关性也得到了改善,与普通人群不相上下。然而,与其他精神疾病相比,针对精神分裂症谱系障碍群体开展的数字健康研究较少,总体可行性、有效性和临床整合性在很大程度上仍是未知数:本综述旨在描述调查使用个人技术(即电话、电脑、平板电脑和可穿戴设备)提供或支持精神分裂症专业护理的现有文献,并研究将该技术整合到护理中的机遇和障碍:鉴于本综述的规模,我们采用了范围界定综述方法。我们搜索了 3 个主要数据库,其搜索团队与精神分裂症谱系障碍、各种个人技术以及与康复相关的干预结果有关。我们纳入了从开发论文到实施试验等各种方法的研究。方法和报告遵循 PRISMA(系统综述和元分析首选报告项目)指南:通过至少两名审稿人的审阅,共检索到 999 项研究,其中包括 92 篇出版物。纳入的研究发表于 2010 年至 2023 年。大多数研究考察了多技术干预(40/92,43%)或智能手机应用程序(25/92,27%),其次是短信(16/92,17%)和基于互联网的干预(11/92,12%)。没有研究单独使用可穿戴技术进行干预。关于该领域的研究阶段,发表最多的是试点研究(32/92,35%),其次是随机对照试验(RCTs;20/92,22%)、二次分析(16/92,17%)、RCT 方案(16/92,17%)、开发论文(5/92,5%)以及非随机或准实验试验(3/92,3%)。大多数研究没有报告安全指数(55/92,60%)或隐私保护措施(64/92,70%)。所纳入的研究倾向于报告用户对技术可用性、可接受性和满意度的一致正面反馈;但是,参与度指标变化很大,报告的结果也参差不齐。此外,试验性研究和 RCT 研究在主要结果方面的效果也不尽相同:总体而言,本综述的研究结果强调了这些数字干预措施的高可接受性和可用性、好坏参半的疗效结果以及持续参与的困难之间的差异。讨论突出强调了这一领域观察到的共同模式;然而,由于这只是一次范围界定综述,可能需要进行更深入的系统综述或荟萃分析,才能更好地理解本综述中概述的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review.

Background: Digital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.

Objective: This review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.

Methods: Given the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

Results: This search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.

Conclusions: Overall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信