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针对新加坡生活方式行为改变的数字健康技术与干预措施的范围综述。

Scoping review of digital health technologies and interventions that target lifestyle behavior change in Singapore.

作者信息

Mandyam Nikita Kanumoory, Lau Jacqueline, Keck Camille, Chen Elya, Yip Alexander Wenjun

机构信息

Alexandra Research Centre for Healthcare in the Virtual Environment (ARCHIVE), Department of Healthcare Redesign, Alexandra Hospital, Singapore, Singapore.

出版信息

Digit Health. 2025 May 21;11:20552076251337032. doi: 10.1177/20552076251337032. eCollection 2025 Jan-Dec.

DOI:10.1177/20552076251337032
PMID:40416074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12099102/
Abstract

OBJECTIVE

A rise in non-communicable diseases, driven by poor lifestyle behaviors, demands a shift from conventional, reactive, and episodic care to next-gen, proactive, and real-time lifestyle management. Digital health technologies (DHTs) and digital health interventions (DHIs) are poised to shepherd this transformation. Given the proliferation of digital health applications, a scoping review was conducted to map the DHTs and DHIs targeting lifestyle behavior change in Singapore.

METHODS

A systematic search of PubMed, Scopus, and clinical trial registries and a manual search of gray literature and mobile app stores were conducted to identify patient-facing IoT (internet of things) technologies (wearables, apps, bots, websites) that target physical activity, diet, tobacco/alcohol use, sleep quality, and/or mindfulness in Singapore from 2013 to 2023.

RESULTS

Forty-six DHTs and thirty-five DHIs were identified. Apps were the most common while websites and bots were the least common. Most DHTs and DHIs played monitoring or preventative behavior change functions. Most applications targeted multiple behaviors, with physical activity being the most common and tobacco/alcohol use being the least common. Behavioral change strategies included feedback and monitoring (80%), goals and planning (70%), associations (62%), personalization (59%), gamification (54%), rewards (33%), human coaching (30%), and just-in-time adaptations (4%).

CONCLUSION

This review identified gaps in digital health applications that address addictive behaviors and the elderly. Future efforts should prioritize adaptive, personalized technologies based on user-centric designs and robust behavioral frameworks to enhance long-term behavioral change. Insights from Singapore's experience can guide the global development of more effective health-improving digital applications.

摘要

目的

由不良生活方式行为驱动的非传染性疾病的增加,要求从传统的、被动的和间歇性护理转向下一代主动的和实时的生活方式管理。数字健康技术(DHTs)和数字健康干预措施(DHIs)有望引领这一转变。鉴于数字健康应用的激增,进行了一项范围综述,以梳理出新加坡针对生活方式行为改变的数字健康技术和数字健康干预措施。

方法

对PubMed、Scopus和临床试验注册库进行系统检索,并对灰色文献和移动应用商店进行人工检索,以识别2013年至2023年期间新加坡面向患者的物联网(IoT)技术(可穿戴设备、应用程序、聊天机器人、网站),这些技术针对身体活动、饮食、烟草/酒精使用、睡眠质量和/或正念。

结果

识别出46项数字健康技术和35项数字健康干预措施。应用程序最为常见,而网站和聊天机器人最不常见。大多数数字健康技术和数字健康干预措施发挥监测或预防行为改变的功能。大多数应用针对多种行为,身体活动最为常见,烟草/酒精使用最不常见。行为改变策略包括反馈和监测(80%)、目标和计划(70%)、关联(62%)、个性化(59%)、游戏化(54%)、奖励(33%)、人工指导(30%)和即时调整(4%)。

结论

本综述确定了数字健康应用在解决成瘾行为和老年人问题方面的差距。未来的努力应优先基于以用户为中心的设计和强大的行为框架开发适应性、个性化技术,以促进长期行为改变。新加坡经验的见解可为全球开发更有效的健康改善数字应用提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/dfecc36fa45c/10.1177_20552076251337032-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/ca8b3e4761bc/10.1177_20552076251337032-fig1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/dfecc36fa45c/10.1177_20552076251337032-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/ca8b3e4761bc/10.1177_20552076251337032-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/33fe1204fd1a/10.1177_20552076251337032-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/94445f2f6441/10.1177_20552076251337032-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/bd6aeb602c22/10.1177_20552076251337032-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/88d8bd725411/10.1177_20552076251337032-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/c773c77bfdb6/10.1177_20552076251337032-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/fe4bd19d560b/10.1177_20552076251337032-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/2cad5da00b90/10.1177_20552076251337032-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd08/12099102/dfecc36fa45c/10.1177_20552076251337032-fig9.jpg

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