数字健康技术干预在预防 2 型糖尿病中的作用:系统回顾

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM
Vivien Nguyen, Paige Ara, David Simmons, Uchechukwu Levi Osuagwu
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引用次数: 0

摘要

目标:21 世纪的糖尿病是全球人口最大的疾病负担之一。以数字为媒介的干预措施已成为缓解这一疾病流行的当务之急。我们旨在系统地回顾有关预防 2 型糖尿病的不同健康技术的随机对照试验(RCT),以及与标准护理相比,这些技术在降低高危患者糖尿病风险相关结果方面的疗效:方法:检索了 2021 年 10 月至 2022 年 12 月期间的五个电子数据库。方法:在 2021 年 10 月至 2022 年 12 月期间检索了五个电子数据库,其中包括通过降低高危成人(⩾18 岁)的糖尿病风险相关结果来预防糖尿病发展的数字健康技术干预研究。提取了血糖水平、T2DM发病率、体重和干预措施描述等数据,并评估了偏倚风险(ROB):9项研究符合纳入标准,5项研究(56%)在以下至少一项方面取得了有临床意义的结果:体重下降(22%)、血糖水平下降(22%)或T2DM发病率下降(11%)。3 项基于计算机的干预中,有 2 项(67%)有效降低了研究人群的 HbA1c 水平和平均体重,6 项基于移动的干预中,有 3 项(50%)(短信、移动应用程序和远程保健)降低了 T2DM 的发病率和 HbA1c 水平。四项研究的总体 ROB 均较低,一项研究因自然减员而 ROB 较高:我们在综述中发现的初步证据表明,用于糖尿病预防的医疗技术能有效改善糖尿病风险相关结果。未来需要对数字技术协议进行研究,并对持续时间更长、人群更多样化的研究进行临床可行性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Digital Health Technology Interventions in the Prevention of Type 2 Diabetes Mellitus: A Systematic Review.

Objectives: Diabetes in the 21st century presents one of the greatest burdens of disease on the global population. Digitally mediated interventions have become imperative in alleviating this disease epidemic. We aimed to systematically review randomized controlled trials (RCTs) on different health technologies for preventing Type 2 diabetes mellitus, and their efficacy in decreasing diabetes risk-related outcomes in at-risk patients in comparison to standard care.

Methods: Five electronic databases were searched between October 2021 and December 2022. Studies including digital health technology interventions used for preventing diabetes development by reducing diabetes risk-related outcomes in at-risk adults (⩾18 years) were identified. Data on glycemic levels, incidence of T2DM, weight, and intervention descriptions were extracted, and the risk of bias (ROB) was assessed.

Results: Nine studies met the inclusion criteria and 5 studies (56%) achieved clinically significant outcomes in at least one of the following: decreased weight (22%), glycemic levels (22%), or incidence of T2DM (11%). Two of the 3 (67%) computer-based interventions effectively reduced the HbA1c levels and mean weight of their study population, and 3 of 6 (50%) mobile based interventions (text messages, mobile app, and telehealth) decreased the incidence of T2DM and HbA1c levels. Four studies each had an overall low ROB and one had a high ROB due to attrition.

Conclusion: Preliminary evidence identified in our review demonstrated that health technologies for diabetes prevention are effective for improving diabetes risk-related outcomes. Future research into digital technology protocol and studies of longer duration and more diverse populations are needed for clinical feasibility.

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CiteScore
4.30
自引率
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