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移动应用程序改善 2 型糖尿病的自我管理:多中心实用随机对照试验。

Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial.

机构信息

Women's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.

Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.

出版信息

JMIR Mhealth Uhealth. 2019 Jan 10;7(1):e10321. doi: 10.2196/10321.


DOI:10.2196/10321
PMID:30632972
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6329896/
Abstract

BACKGROUND: As the increasing prevalence of type 2 diabetes mellitus has put pressure on health systems to appropriately manage these patients, there have been a growing number of mobile apps designed to improve the self-management of diabetes. One such app, BlueStar, has been shown to significantly reduce hemoglobin A (HbA) levels in small studies and is the first app in the United States to receive Food and Drug Administration approval as a mobile prescription therapy. However, the impact of the app across real-world population among different clinical sites and health systems remains unclear. OBJECTIVE: The primary objective of this study was to conduct a pragmatic randomized controlled trial of the BlueStar mobile app to determine if app usage leads to improved HbA levels among diverse participants in real-life clinical contexts. We hypothesized that this mobile app would improve self-management and HbA levels compared with controls. METHODS: The study consisted of a multicenter pragmatic randomized controlled trial. Overall, 110 participants randomized to the immediate treatment group (ITG) received the intervention for 6 months, and 113 participants randomized to the wait-list control (WLC) group received usual care for the first 3 months and then received the intervention for 3 months. The primary outcome was glucose control measured by HbA levels at 3 months. Secondary outcomes assessed intervention impact on patient self-management, experience of care, and self-reported health utilization using validated scales, including the Problem Areas in Diabetes, the Summary of Diabetes Self-Care Activities, and the EuroQol-5D. Intervention usage data were collected directly from the app. RESULTS: The results of an analysis of covariance controlling for baseline HbA levels did not show evidence of intervention impact on HbA levels at 3 months (mean difference [ITG-WLC] -0.42, 95% CI -1.05 to 0.21; P=.19). Similarly, there was no intervention effect on secondary outcomes measuring diabetes self-efficacy, quality of life, and health care utilization behaviors. An exploratory analysis of 57 ITG participants investigating the impact of app usage on HbA levels showed that each additional day of app use corresponded with a 0.016-point decrease in participants' 3-month HbA levels (95% CI -0.03 to -0.003). App usage varied significantly by site, as participants from 1 site logged in to the app a median of 36 days over 14 weeks (interquartile range [IQR] 10.5-124); those at another site used the app significantly less (median 9; IQR 6-51). CONCLUSIONS: The results showed no difference between intervention and control arms for the primary clinical outcome of glycemic control measured by HbA levels. Although there was low usage of the app among participants, results indicate contextual factors, particularly site, had a significant impact on overall usage. Future research into the patient and site-specific factors that increase app utilization are needed. TRIAL REGISTRATION: Clinicaltrials.gov NCT02813343; https://clinicaltrials.gov/ct2/show/NCT02813343 (Archived by WebCite at https://clinicaltrials.gov/ct2/show/NCT02813343).

摘要

背景:随着 2 型糖尿病患病率的上升,对医疗系统提出了适当管理这些患者的压力,因此出现了越来越多旨在改善糖尿病自我管理的移动应用程序。BlueStar 就是这样一个应用程序,它在小型研究中显著降低了糖化血红蛋白(HbA)水平,是第一个获得美国食品和药物管理局批准作为移动处方疗法的应用程序。然而,该应用程序在不同临床地点和医疗系统的真实人群中的影响仍不清楚。

目的:本研究旨在对 BlueStar 移动应用程序进行实用随机对照试验,以确定该应用程序的使用是否会导致不同临床背景下的患者 HbA 水平得到改善。我们假设该移动应用程序将改善自我管理和 HbA 水平,与对照组相比。

方法:该研究由多中心实用随机对照试验组成。共有 110 名参与者随机分配到即时治疗组(ITG),接受 6 个月的干预,113 名参与者随机分配到等待名单对照组(WLC),在前 3 个月接受常规护理,然后接受 3 个月的干预。主要结局是通过 3 个月时的 HbA 水平衡量血糖控制。使用经过验证的量表评估干预对患者自我管理、护理体验和自我报告的健康利用的影响,包括糖尿病问题区域量表、糖尿病自我护理活动概述和欧洲五维健康量表。干预使用数据直接从应用程序中收集。

结果:对基线 HbA 水平进行协方差分析的结果表明,干预措施对 3 个月时的 HbA 水平没有证据表明有影响(平均差异 [ITG-WLC] -0.42,95%置信区间 -1.05 至 0.21;P=.19)。同样,干预对衡量糖尿病自我效能、生活质量和医疗保健利用行为的次要结局也没有影响。对 57 名 ITG 参与者进行的探索性分析表明,应用程序使用天数每增加一天,参与者的 3 个月 HbA 水平就会降低 0.016 个百分点(95%置信区间 -0.03 至 -0.003)。应用程序的使用情况因地点而异,因为 1 个地点的参与者在 14 周内平均登录应用程序 36 天(中位数 [IQR] 10.5-124);而另一个地点的参与者使用该应用程序的次数明显较少(中位数 9;IQR 6-51)。

结论:结果显示,HbA 水平测量的血糖控制主要临床结局在干预组和对照组之间没有差异。尽管参与者对该应用程序的使用频率较低,但结果表明,具体情况,特别是地点,对整体使用情况有重大影响。需要进一步研究增加应用程序使用的患者和特定地点的因素。

试验注册:Clinicaltrials.gov NCT02813343; https://clinicaltrials.gov/ct2/show/NCT02813343(由 WebCite 存档 https://clinicaltrials.gov/ct2/show/NCT02813343)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/dedbbef2e5ee/mhealth_v7i1e10321_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/ff93c58861d6/mhealth_v7i1e10321_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/606c99cd902e/mhealth_v7i1e10321_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/dedbbef2e5ee/mhealth_v7i1e10321_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/ff93c58861d6/mhealth_v7i1e10321_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/606c99cd902e/mhealth_v7i1e10321_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fa/6329896/dedbbef2e5ee/mhealth_v7i1e10321_fig3.jpg

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本文引用的文献

[1]
Pilot Study for Managing Complex Chronic Care Medicaid Patients With Diabetes Using a Mobile Health Application Achieves "Triple Aim" Improvement in a Primary Care Setting.

Clin Diabetes. 2017-10

[2]
A Mobile App for the Self-Management of Type 1 Diabetes Among Adolescents: A Randomized Controlled Trial.

JMIR Mhealth Uhealth. 2017-6-19

[3]
Dropout From an eHealth Intervention for Adults With Type 2 Diabetes: A Qualitative Study.

J Med Internet Res. 2017-5-30

[4]
Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes.

Patient Prefer Adherence. 2017-3-3

[5]
Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme.

J Med Internet Res. 2017-2-13

[6]
Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App.

JMIR Mhealth Uhealth. 2017-2-8

[7]
Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials.

Diabetes Care. 2016-11

[8]
T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis.

PLoS One. 2016-11-18

[9]
A randomized wait-list control trial to evaluate the impact of a mobile application to improve self-management of individuals with type 2 diabetes: a study protocol.

BMC Med Inform Decis Mak. 2016-11-15

[10]
Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies.

BMC Med Inform Decis Mak. 2016-9-15

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