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移动健康作为增强中风风险因素控制的可行策略:一项系统综述和荟萃分析。

Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis.

作者信息

Liu Shimeng, Feng Wuwei, Chhatbar Pratik Y, Liu Yumei, Ji Xunming, Ovbiagele Bruce

机构信息

Department of Neurology, Medical University of South Carolina, SC, USA; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Department of Neurology, Medical University of South Carolina, SC, USA.

出版信息

J Neurol Sci. 2017 Jul 15;378:140-145. doi: 10.1016/j.jns.2017.04.050. Epub 2017 Apr 28.

Abstract

BACKGROUND

With the rapid growth worldwide in cell-phone use, Internet connectivity, and digital health technology, mobile health (mHealth) technology may offer a promising approach to bridge evidence-treatment gaps in stroke prevention. We aimed to evaluate the effectiveness of mHealth for stroke risk factor control through a systematic review and meta-analysis.

METHODS

We searched PubMed from January 1, 2000 to May 17, 2016 using the following keywords: mobile health, mHealth, short message, cellular phone, mobile phone, stroke prevention and control, diabetes mellitus, hypertension, hyperlipidemia and smoking cessation. We performed a meta-analysis of all eligible randomized control clinical trials that assessed a sustained (at least 6months) effect of mHealth.

RESULTS

Of 78 articles identified, 13 met eligibility criteria (6 for glycemic control and 7 for smoking cessation) and were included for the final meta-analysis. There were no eligible studies for dyslipidemia or hypertension. mHealth resulted in greater Hemoglobin A1c reduction at 6months (6 studies; 663 subjects; SMD: -0.44; 95% CI: [-0.82, -0.06], P=0.02; Mean difference of decrease in HbA1c: -0.39%; 95% CI: [-0.74, -0.04], P=0.03). mHealth also lead to relatively higher smoking abstinence rates at 6months (7 studies; 9514 subjects; OR: 1.54; 95% CI: [1.24, 1.90], P<0.0001).

CONCLUSIONS

Our meta-analysis supports that use of mHealth improves glycemic control and smoking abstinence rates.

摘要

背景

随着全球范围内手机使用、互联网连接和数字健康技术的迅速发展,移动健康(mHealth)技术可能为弥合中风预防中证据与治疗之间的差距提供一种有前景的方法。我们旨在通过系统评价和荟萃分析评估移动健康对中风危险因素控制的有效性。

方法

我们使用以下关键词在2000年1月1日至2016年5月17日期间检索了PubMed:移动健康、mHealth、短信、手机、移动电话、中风预防与控制、糖尿病、高血压、高脂血症和戒烟。我们对所有评估移动健康持续(至少6个月)效果的符合条件的随机对照临床试验进行了荟萃分析。

结果

在识别出的78篇文章中,13篇符合纳入标准(6篇关于血糖控制,7篇关于戒烟)并被纳入最终的荟萃分析。没有关于血脂异常或高血压的符合条件的研究。移动健康在6个月时导致糖化血红蛋白降低幅度更大(6项研究;663名受试者;标准化均数差:-0.44;95%可信区间:[-0.82, -0.06],P = 0.02;糖化血红蛋白降低的平均差值:-0.39%;95%可信区间:[-0.74, -0.04],P = 0.03)。移动健康在6个月时也导致相对较高的戒烟率(7项研究;9514名受试者;比值比:1.54;95%可信区间:[1.24, 1.90],P < 0.0001)。

结论

我们的荟萃分析支持使用移动健康可改善血糖控制和戒烟率。

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