以消费者为导向的数字化糖尿病预防项目综述:来自疾病预防控制中心糖尿病预防识别项目的见解。

Frontiers in clinical diabetes and healthcare Pub Date : 2025-04-16 eCollection Date: 2025-01-01 DOI:10.3389/fcdhc.2025.1562108
Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis
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引用次数: 0

摘要

背景:前驱糖尿病非常普遍,并显著增加2型糖尿病的风险。虽然像糖尿病预防计划(DPP)这样经过验证的干预措施在历史上一直受到限制,但数字DPP (DPP)提供了一个有前途且可扩展的选择。随着最近dDPP产品的增长和跨平台的潜在变异性,获得准确和清晰的信息对于寻求糖尿病预防选择的个人至关重要。本综述概述了dDPP的概况,并描述了选择dDPP的患者可获得或缺乏的“直接面向消费者”的信息。方法:我们通过美国疾病控制与预防中心糖尿病预防识别计划(DPRP)登记处确定ddpp。数据来自消费者可获得的三个来源:疾病预防控制中心DPRP登记处,疾病预防控制中心“寻找生活方式计划”网站和计划特定网站。提取的数据包括CDC识别状态、目标受众、可用语言、程序功能(如人工智能、与智能设备的集成)、网站可用性和功能、可信度证明(如ADA认可)、临床表现指标(如平均体重减轻)和用户体验因素(如满意度)。采用描述性统计对提取的数据进行汇总。结果:共纳入97个ddpp,大多数处于CDC识别的早期阶段。疾控中心注册表中列出的ddpp中只有35%拥有功能性网站,尽管通过人工搜索确定了其他网站。具体的方案功能包括人工智能驱动的健康建议、设备集成(例如,数字秤和活动跟踪器)、营养跟踪工具和远程医疗平台。近一半的ddpp报告了临床表现指标,如体重减轻和A1C结果。用户体验细节通常通过患者推荐和满意度评分来呈现。值得注意的是,许多程序需要用户提供个人信息才能访问其他信息。结论:我们发现现有的ddpp在其特征、设计和结构上存在显著差异,反映了糖尿病预防选择的多样性和不断发展的前景。同时,由于网站缺失或不完整,许多ddpp缺乏可访问的信息。疾病预防控制中心提供的集中信息来源也不够充分,存在差异和差距,妨碍了透明度和消费者决策。通过增强项目可见性和改进集中式数据库来解决这些问题,对于优化ddpp的覆盖范围和影响至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer-oriented review of digital diabetes prevention programs: insights from the CDC's diabetes prevention recognition program.

Background: Prediabetes is highly prevalent and significantly increases the risk of type 2 diabetes. While access to proven interventions like the Diabetes Prevention Program (DPP) has historically been limited, digital DPPs (dDPPs) present a promising and scalable option. With the recent growth of dDPP offerings and potential variability across platforms, access to accurate and clear information is crucial for individuals seeking diabetes prevention options. This review provides an overview of the dDPP landscape and characterizes the "direct-to-consumer" information available-or lacking-for patients choosing a dDPP.

Methods: We identified dDPPs through the CDC Diabetes Prevention Recognition Program (DPRP) Registry. Data were extracted from three sources available to consumers: the CDC DPRP Registry, the CDC "Find a Lifestyle Program" Website, and program-specific websites. Extracted data included CDC recognition status, intended audience, available languages, program features (e.g., artificial intelligence, integration with smart devices), website availability and functionality, demonstrations of credibility (e.g., ADA endorsement), clinical performance metrics (e.g., average weight loss), and user experience factors (e.g., satisfaction). Descriptive statistics were used to summarize extracted data.

Results: A total of 97 dDPPs were included in the review, with most in the early stages of CDC recognition. Only 35% of dDPPs listed in the CDC registry had functional websites, though additional websites were identified through manual searches. Program-specific features included AI-driven health recommendations, device integration (e.g., digital scales and activity trackers), nutrition tracking tools, and telehealth platforms. Nearly half of the dDPPs reported clinical performance metrics such as weight loss and A1C outcomes. User experience details were often presented through patient testimonials and satisfaction scores. Notably, many programs required users to provide personal information to access additional information.

Conclusion: We found that available dDPPs vary significantly in their features, designs, and structures, reflecting a diverse and evolving landscape of diabetes prevention options. Concurrently, many dDPPs lack accessible information due to missing or incomplete websites. Centralized sources of information provided by the CDC are also insufficient, with discrepancies and gaps that hinder transparency and consumer decision-making. Addressing these issues through enhanced program visibility and improved centralized databases will be critical to optimizing the reach and impact of dDPPs.

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