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看似简单,实则影响深远:短信干预支持健康。

Deceptively Simple yet Profoundly Impactful: Text Messaging Interventions to Support Health.

机构信息

Department of Emergency Medicine, Stanford University, Palo Alto, CA, United States.

出版信息

J Med Internet Res. 2024 Aug 27;26:e58726. doi: 10.2196/58726.

Abstract

This paper examines the use of text message (SMS) interventions for health-related behavioral support. It first outlines the historical progress in SMS intervention research publications and the variety of funds from US government agencies. A narrative review follows, highlighting the effectiveness of SMS interventions in key health areas, such as physical activity, diet and weight loss, mental health, and substance use, based on published meta-analyses. It then outlines advantages of text messaging compared to other digital modalities, including the real-time capability to collect information and deliver microdoses of intervention support. Crucial design elements are proposed to optimize effectiveness and longitudinal engagement across communication strategies, psychological foundations, and behavior change tactics. We then discuss advanced functionalities, such as the potential for generative artificial intelligence to improve user interaction. Finally, major challenges to implementation are highlighted, including the absence of a dedicated commercial platform, privacy and security concerns with SMS technology, difficulties integrating SMS interventions with medical informatics systems, and concerns about user engagement. Proposed solutions aim to facilitate the broader application and effectiveness of SMS interventions. Our hope is that these insights can assist researchers and practitioners in using SMS interventions to improve health outcomes and reducing disparities.

摘要

本文探讨了短信(SMS)干预在与健康相关的行为支持中的应用。首先概述了 SMS 干预研究出版物的历史进展以及美国政府机构的各种资金来源。随后进行了叙述性综述,根据已发表的荟萃分析,重点介绍了 SMS 干预在关键健康领域的有效性,如体育活动、饮食和减肥、心理健康以及物质使用。然后概述了与其他数字模式相比,短信具有的优势,包括实时收集信息和提供微量干预支持的能力。提出了关键的设计要素,以优化跨沟通策略、心理基础和行为改变策略的效果和长期参与度。我们接着讨论了高级功能,例如生成式人工智能改善用户交互的潜力。最后,强调了实施过程中的主要挑战,包括缺乏专用的商业平台、SMS 技术的隐私和安全问题、将 SMS 干预与医疗信息学系统集成的困难以及对用户参与度的担忧。提出的解决方案旨在促进 SMS 干预的更广泛应用和有效性。我们希望这些见解可以帮助研究人员和从业者利用 SMS 干预来改善健康结果并减少差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59f9/11387917/e9110fe807a3/jmir_v26i1e58726_fig1.jpg

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