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本文引用的文献

1
Indexed Pain Journals.索引疼痛期刊。
J Pain Palliat Care Pharmacother. 2008;22(1):45-46. doi: 10.1080/15360280801989377.
2
Connected health: a review of the literature.连接健康:文献综述
Mhealth. 2016 Apr 14;2:13. doi: 10.21037/mhealth.2016.03.09. eCollection 2016.
3
Informed Consent.知情同意书
N Engl J Med. 2017 Mar 2;376(9):856-867. doi: 10.1056/NEJMra1603773.
4
Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews.移动健康干预措施对糖尿病患者的有效性:系统评价概述
PLoS One. 2017 Mar 1;12(3):e0173160. doi: 10.1371/journal.pone.0173160. eCollection 2017.
5
Minority groups and the artificial pancreas: who is (not) in line?少数群体与人工胰腺:谁(未)符合条件?
Lancet Diabetes Endocrinol. 2016 Nov;4(11):880-881. doi: 10.1016/S2213-8587(16)30144-9. Epub 2016 Aug 1.
6
Assessing the Gold Standard--Lessons from the History of RCTs.评估金标准——随机对照试验历史的教训
N Engl J Med. 2016 Jun 2;374(22):2175-81. doi: 10.1056/NEJMms1604593.
7
Health App Use Among US Mobile Phone Owners: A National Survey.美国手机用户使用健康类 APP 情况的全国性调查
JMIR Mhealth Uhealth. 2015 Nov 4;3(4):e101. doi: 10.2196/mhealth.4924.
8
Utilization of E-Health Services Among U.S. Adults With Diabetes.美国糖尿病成年患者对电子健康服务的利用情况。
Diabetes Care. 2015 Dec;38(12):e200-1. doi: 10.2337/dc15-1162. Epub 2015 Oct 12.
9
Continuous evaluation of evolving behavioral intervention technologies.不断评估不断发展的行为干预技术。
Am J Prev Med. 2013 Oct;45(4):517-23. doi: 10.1016/j.amepre.2013.06.006.
10
Mapping mHealth research: a decade of evolution.绘制移动健康研究图谱:十年发展历程
J Med Internet Res. 2013 May 21;15(5):e95. doi: 10.2196/jmir.2430.

重新思考糖尿病护理中移动健康干预研究的终点

Rethinking the Endpoints of mHealth Intervention Research in Diabetes Care.

作者信息

Modzelewski Katherine L, Stockman Mary-Catherine, Steenkamp Devin W

机构信息

1 Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston, MA, USA.

出版信息

J Diabetes Sci Technol. 2018 Mar;12(2):389-392. doi: 10.1177/1932296817733007. Epub 2017 Sep 27.

DOI:10.1177/1932296817733007
PMID:28952379
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5851225/
Abstract

Mobile health (mHealth) is an emerging branch of medicine that utilizes technology to impact health care. With increasing access to smartphones and mobile devices, there has been an increase in both the availability and use of mHealth resources, including the use of text messages, apps, and web portals. In diabetes, there is particular interest as technology has long been a mainstay of management through glucometers, insulin pumps and continuous glucose monitors, which are increasingly interconnected. Although there is high demand for mHealth interventions in diabetes, there is no clear consensus on the best way to monitor these interventions. While randomized controlled trials are considered the gold standard for most medical research, we propose that alternative trial designs may be more applicable in the ever-changing mHealth landscape.

摘要

移动健康(mHealth)是医学的一个新兴分支,它利用技术来影响医疗保健。随着智能手机和移动设备的普及,mHealth资源的可用性和使用都有所增加,包括短信、应用程序和网络门户的使用。在糖尿病领域,人们对其尤为关注,因为长期以来,技术一直是糖尿病管理的主要手段,如血糖仪、胰岛素泵和持续葡萄糖监测仪,而且这些设备之间的互联性越来越高。尽管糖尿病患者对mHealth干预措施的需求很高,但对于监测这些干预措施的最佳方法尚无明确共识。虽然随机对照试验被认为是大多数医学研究的金标准,但我们认为,在不断变化的mHealth领域,其他试验设计可能更适用。