• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数字微干预促进行为和心理健康:数字微干预护理的核心组成部分和概念化。

Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care.

机构信息

University of Haifa, Haifa, Israel.

Victoria University of Wellington, Wellington, New Zealand.

出版信息

J Med Internet Res. 2020 Oct 29;22(10):e20631. doi: 10.2196/20631.

DOI:10.2196/20631
PMID:33118946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7661243/
Abstract

Although many people access publicly available digital behavioral and mental health interventions, most do not invest as much effort in these interventions as hoped or intended by intervention developers, and ongoing engagement is often low. Thus, the impact of such interventions is minimized by a misalignment between intervention design and user behavior. Digital micro interventions are highly focused interventions delivered in the context of a person's daily life with little burden on the individual. We propose that these interventions have the potential to disruptively expand the reach of beneficial therapeutics by lowering the bar for entry to an intervention and the effort needed for purposeful engagement. This paper provides a conceptualization of digital micro interventions, their component parts, and principles guiding their use as building blocks of a larger therapeutic process (ie, digital micro intervention care). The model represented provides a structure that could improve the design, delivery, and research on digital micro interventions and ultimately improve behavioral and mental health care and care delivery.

摘要

虽然许多人可以访问公共的数字行为和心理健康干预措施,但大多数人并没有像干预措施开发者所希望或预期的那样投入那么多的精力,并且持续参与度通常较低。因此,干预措施的设计与用户行为之间的不匹配会使这些干预措施的效果最小化。数字微干预是在个人日常生活背景下提供的高度集中的干预措施,对个人的负担很小。我们提出,这些干预措施有可能通过降低干预措施的准入门槛和有目的参与所需的努力,从而具有打破常规扩大有益治疗方法的潜力。本文提出了数字微干预的概念,它们的组成部分,以及指导其使用的原则,作为更大治疗过程的构建块(即数字微干预护理)。所表示的模型提供了一种结构,可以改进数字微干预的设计、交付和研究,最终改善行为和心理健康护理和护理的提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/4095a7bd9cc7/jmir_v22i10e20631_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/0012e188c105/jmir_v22i10e20631_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/ddbb9eefcb68/jmir_v22i10e20631_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/adcc9105d3c9/jmir_v22i10e20631_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/51b622400b19/jmir_v22i10e20631_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/4095a7bd9cc7/jmir_v22i10e20631_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/0012e188c105/jmir_v22i10e20631_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/ddbb9eefcb68/jmir_v22i10e20631_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/adcc9105d3c9/jmir_v22i10e20631_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/51b622400b19/jmir_v22i10e20631_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ee/7661243/4095a7bd9cc7/jmir_v22i10e20631_fig5.jpg

相似文献

1
Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care.数字微干预促进行为和心理健康:数字微干预护理的核心组成部分和概念化。
J Med Internet Res. 2020 Oct 29;22(10):e20631. doi: 10.2196/20631.
2
Predicting user adherence to behavioral eHealth interventions in the real world: examining which aspects of intervention design matter most.预测真实世界中用户对行为电子健康干预措施的依从性:研究干预设计的哪些方面最重要。
Transl Behav Med. 2018 Sep 8;8(5):793-798. doi: 10.1093/tbm/ibx037.
3
Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review.数字干预措施减轻 COVID-19 大流行对公众心理健康负面影响的证据综合:快速元综述。
J Med Internet Res. 2021 Mar 10;23(3):e23365. doi: 10.2196/23365.
4
Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop.开发和评估促进健康与医疗保健行为改变的数字干预措施:国际研讨会的建议
J Med Internet Res. 2017 Jun 29;19(6):e232. doi: 10.2196/jmir.7126.
5
Effort-Optimized Intervention Model: Framework for Building and Analyzing Digital Interventions That Require Minimal Effort for Health-Related Gains.优化干预模型:构建和分析需要最小投入即可获得健康收益的数字干预措施的框架。
J Med Internet Res. 2021 Mar 12;23(3):e24905. doi: 10.2196/24905.
6
Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety.试验之外:对抑郁症、情绪低落或焦虑症数字自助干预措施的现实世界采用情况和参与度的系统评价
J Med Internet Res. 2018 Jun 6;20(6):e199. doi: 10.2196/jmir.9275.
7
IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior.IDEAS(整合、设计、评估与分享):开发更有效的改变健康行为数字干预措施的策略框架与工具包。
J Med Internet Res. 2016 Dec 16;18(12):e317. doi: 10.2196/jmir.5927.
8
Right care, first time: a highly personalised and measurement-based care model to manage youth mental health.精准医疗,首次就诊:高度个性化和基于评估的青少年心理健康管理医疗模式。
Med J Aust. 2019 Nov;211 Suppl 9:S3-S46. doi: 10.5694/mja2.50383.
9
Impact of the Method of Delivering Electronic Health Behavior Change Interventions in Survivors of Cancer on Engagement, Health Behaviors, and Health Outcomes: Systematic Review and Meta-Analysis.电子健康行为改变干预方法对癌症幸存者参与度、健康行为及健康结果的影响:系统评价与荟萃分析
J Med Internet Res. 2020 Jun 23;22(6):e16112. doi: 10.2196/16112.
10
Mobile Health (mHealth) Versus Clinic-Based Group Intervention for People With Serious Mental Illness: A Randomized Controlled Trial.移动医疗(mHealth)与基于诊所的团体干预对严重精神疾病患者的效果比较:一项随机对照试验。
Psychiatr Serv. 2018 Sep 1;69(9):978-985. doi: 10.1176/appi.ps.201800063. Epub 2018 May 25.

引用本文的文献

1
A personalized mHealth intervention for the universal prevention of perinatal mental disorders in routine maternal care (e-Perinatal): A protocol study for a hybrid feasibility pilot trial.一项用于常规孕产妇护理中围产期精神障碍普遍预防的个性化移动健康干预措施(电子围产期):一项混合可行性试点试验的方案研究
Open Res Eur. 2025 Jun 27;5:170. doi: 10.12688/openreseurope.20386.1. eCollection 2025.
2
Nationwide Implementation of Unguided Cognitive Behavioral Therapy for Adolescent Depression: Observational Study of SPARX.青少年抑郁症非指导性认知行为疗法的全国性实施:SPARX观察性研究
J Med Internet Res. 2025 Aug 25;27:e66047. doi: 10.2196/66047.
3

本文引用的文献

1
Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment.优化短信以促进对互联网戒烟治疗的参与度:析因筛选实验的结果
J Med Internet Res. 2020 Apr 2;22(4):e17734. doi: 10.2196/17734.
2
Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs.未引导的电子心理健康干预措施的使用中是否存在影响用户参与度的试验偏倚?对相同程序的已发表报告和实际使用情况进行系统比较。
Transl Behav Med. 2019 Nov 25;9(6):1020-1033. doi: 10.1093/tbm/ibz147.
3
Evaluating the Effectiveness of a Roblox Video Game (Super U Story) in Improving Body Image Among Children and Adolescents in the United States: Randomized Controlled Trial.
评估一款罗布乐思电子游戏(超级 U 故事)对改善美国儿童和青少年身体形象的有效性:随机对照试验。
J Med Internet Res. 2025 Jul 31;27:e66625. doi: 10.2196/66625.
4
More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality.不止是聊天机器人:一个利用人工智能贯穿关键组件以提升数字疗法质量的实用框架。
Front Digit Health. 2025 Apr 24;7:1541676. doi: 10.3389/fdgth.2025.1541676. eCollection 2025.
5
Augmenting Parenting Programs With the Pause Mobile App: Mixed Methods Evaluation.通过“暂停”移动应用程序增强育儿计划:混合方法评估。
JMIR Pediatr Parent. 2025 Apr 30;8:e68807. doi: 10.2196/68807.
6
Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.超越心理健康即时适应性干预的现状:一项定性系统综述
Front Digit Health. 2025 Jan 28;7:1460167. doi: 10.3389/fdgth.2025.1460167. eCollection 2025.
7
Evaluating the effectiveness and acceptability of two positive body image media micro-interventions among children aged 4-6 years old - a study protocol.评估两种积极身体形象媒体微干预措施对4至6岁儿童的有效性和可接受性——一项研究方案
BMC Public Health. 2024 Dec 19;24(1):3539. doi: 10.1186/s12889-024-20869-z.
8
Characterizing phenotypes and clinical and health utilization associations of young people with chronic pain: latent class analysis using the electronic Persistent Pain Outcomes Collaboration database.对患有慢性疼痛的年轻人的表型、临床及医疗利用关联进行特征分析:使用电子持续性疼痛结局协作数据库的潜在类别分析
Pain. 2025 Jan 1;166(1):67-86. doi: 10.1097/j.pain.0000000000003326. Epub 2024 Jul 9.
9
Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations.通过社交媒体聊天机器人微干预实现快速、个性化的饮食与健康教育:开发及可用性研究与实用建议
JMIR Form Res. 2024 Dec 9;8:e52032. doi: 10.2196/52032.
10
Digital, Social Micro-Interventions to Promote Physical Activity Among Midlife Adults With Elevated Cardiovascular Risk: An Ambulatory Feasibility Study With Momentary Randomization.数字化、社交型微干预措施促进心血管风险升高的中年成年人身体活动:一项带有即时随机化的门诊可行性研究。
Ann Behav Med. 2024 Nov 16;58(12):845-856. doi: 10.1093/abm/kaae058.
Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis.
目标 用户对心理健康应用程序的参与度:系统检索与基于小组的使用情况分析
J Med Internet Res. 2019 Sep 25;21(9):e14567. doi: 10.2196/14567.
4
A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the "DBCI Engagement Scale".一种自我报告的数字行为改变干预措施(DBCI)参与度测量工具:“DBCI 参与度量表”的制定和心理测量学评估。
Transl Behav Med. 2020 Feb 3;10(1):267-277. doi: 10.1093/tbm/ibz039.
5
Examining Predictors of Real-World User Engagement with Self-Guided eHealth Interventions: Analysis of Mobile Apps and Websites Using a Novel Dataset.考察现实世界中用户对自我引导式电子健康干预措施的参与度预测因素:使用新数据集对移动应用程序和网站进行分析。
J Med Internet Res. 2018 Dec 14;20(12):e11491. doi: 10.2196/11491.
6
To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App.推送还是不推送?一项关于随时间变化的推送通知以增加与移动健康应用近端互动的微随机试验。
JMIR Mhealth Uhealth. 2018 Nov 29;6(11):e10123. doi: 10.2196/10123.
7
If we build it, will they come? Issues of engagement with digital health interventions for trauma recovery.如果我们构建了它,他们会来吗?关于参与创伤恢复数字健康干预措施的问题。
Mhealth. 2018 Sep 11;4:37. doi: 10.21037/mhealth.2018.08.04. eCollection 2018.
8
Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety.试验之外:对抑郁症、情绪低落或焦虑症数字自助干预措施的现实世界采用情况和参与度的系统评价
J Med Internet Res. 2018 Jun 6;20(6):e199. doi: 10.2196/jmir.9275.
9
Parenting Resilient Kids (PaRK), an online parenting program to prevent anxiety and depression problems in primary school-aged children: Study protocol for a randomised controlled trial.培养有适应力的孩子(PaRK),一项预防小学年龄段儿童焦虑和抑郁问题的在线育儿项目:一项随机对照试验的研究方案。
Trials. 2018 Apr 19;19(1):236. doi: 10.1186/s13063-018-2605-8.
10
Optimizing Digital Integrated Care via Micro-Randomized Trials.通过微随机试验优化数字综合护理。
Clin Pharmacol Ther. 2018 Jul;104(1):53-58. doi: 10.1002/cpt.1079. Epub 2018 Apr 19.