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Personalized Smartphone-assisted Coaching System to Improve Glucose Homeostasis in Adults With Prediabetes

2018年3月26日 更新者:Johns Hopkins University

Effectiveness of a Personalized Smartphone-assisted Coaching System to Improve Glucose Homeostasis in Adults With Prediabetes: Rationale and Study Protocol - Pilot Study

Sweetch is a personalized mobile-health platform coaching system (mobile phone app) designed to promote adherence to physical activity guidelines for people with prediabetes.

研究概览

详细说明

The mobile phone app Sweetch seeks to increase leisure time physical activity rather than formal exercise through the use of a behavioral analytics engine that continuously process various aspects of the user's life habits, taking into account the user's demographics, behavioral change status, schedule, actual activity patterns, and more. The rationale behind this approach is that long-term adherence and patient engagement are more likely to be achieved when demands on manual user data entry are kept at a minimum. Compared to similar smartphone-assisted prevention apps, there are two novel features of the Sweetch app that may increase its efficacy. First, it uses a "just-in-time" adaptive intervention" approach that tailors recommendations to the user's day-to-day routine and his or her readiness for behavioral change. Second, and most importantly, it requires no direct involvement by the user, since all the necessary data is collected using built-in tracking pedometers, accelerometer and GPS (Global Positioning System) sensors on smartphones. In contrast, interventions that focus on dietary changes (i.e. calorie reduction, change in macronutrient content), require active user tracking at every meal, which is difficult to maintain in the long-term even with the use of sophisticated, electronic calorie counting tools. For these reasons, the Sweetch app may achieve greater long-term adherence, which is usually a limiting factor to efficacy of mobile health interventions.

研究类型

介入性

注册 (实际的)

55

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • Maryland
      • Baltimore、Maryland、美国、21287
        • Johns Hopkins Hospital
    • Pennsylvania
      • Reading、Pennsylvania、美国、19607
        • Reading Health System

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 至 75年 (成人、年长者)

接受健康志愿者

不

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Adults aged 18 -75 years with prediabetes (fasting BG 100-125 mg/dl, A1C 5.7% - 6.4%, or 2 hour BG of 140-199 mg/dl following 75-gram oral glucose tolerance test)
  • Body mass index 24 - 40 kg/m2
  • English speaker
  • Smartphone user (Android or Apple 5s and above)

Exclusion Criteria:

  • Currently doing more than 150 minutes/week of moderate/vigorous physical activity
  • Presence of medical conditions that prevent adoption of moderate physical activity
  • Use of any glucose-lowering or weight loss medications within the previous 3 months
  • Current pregnancy (self-reported) or planning pregnancy during study period (self-reported)
  • Presence of any condition that can result in spurious A1C readings (e.g. anemia [hemoglobin level below lower limit of normal] secondary to iron, vitamin B12, or folate deficiencies; hemoglobinopathies)
  • Use of systemic glucocorticoids
  • Use of antipsychotic medications (stable doses for at least three months of anti-depressants or anti-anxiety drugs will be allowed)
  • Severe mental illness or learning disability
  • Current participation in another clinical trial
  • Liver enzymes >3 x upper limit of normal
  • Poor literacy (REALM-R score of 6 or less)

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:支持治疗
  • 分配:非随机化
  • 介入模型:并行分配
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
有源比较器:Sweech App + DBWS
参与者接受糖尿病前期管理的常规护理。 此外,参与者将随机接受 Sweech 应用程序以及通过数字体重秤 (DBWS) 进行的体重监测。
Usual care for prediabetes management, Sweetch app, weight monitoring via digital body weight scale (DBWS).
有源比较器:单独的 Sweech 应用程序
参与者接受糖尿病前期管理的常规护理。 此外,参与者将随机分配单独接收 Sweech 应用程序。
糖尿病前期管理的常规护理,仅 Sweech 应用程序。

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Yield of Recruitment
大体时间:3 months
Proportion of recruited participants who enroll and complete the 3 month study
3 months

次要结果测量

结果测量
措施说明
大体时间
Engagement
大体时间:3 months
Proportion of enrolled participants who keep app installed and open in background of their smartphones during duration of the study.
3 months
Usability and Satisfaction
大体时间:3 months
Usability and Satisfaction will be measured using an adapted Systems Usability Scale, a validated method of measuring usability with a wide array of technological products, including smartphones.
3 months
Adherence to physical activity goal
大体时间:3 months
Proportion of enrolled participants meeting mean 150 minute per week physical activity target (evaluated at 4 week intervals and over course of entire 12 week study period)
3 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Adrian S Dobs, MD MHS、Johns Hopkins University

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2016年10月10日

初级完成 (实际的)

2017年11月17日

研究完成 (实际的)

2017年11月17日

研究注册日期

首次提交

2016年8月1日

首先提交符合 QC 标准的

2016年9月6日

首次发布 (估计)

2016年9月12日

研究记录更新

最后更新发布 (实际的)

2018年3月27日

上次提交的符合 QC 标准的更新

2018年3月26日

最后验证

2018年3月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

未定

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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