使用基于Alexa的智能代理对超重和肥胖癌症幸存者进行患者指导以增加身体活动：技术助力身体活动（PATH）试验方案
Increasing Physical Activity Amongst Overweight and Obese Cancer Survivors Using an Alexa-Based Intelligent Agent for Patient Coaching: Protocol for the Physical Activity by Technology Help (PATH) Trial.
作者信息
Hassoon Ahmed, Schrack Jennifer, Naiman Daniel, Lansey Dina, Baig Yasmin, Stearns Vered, Celentano David, Martin Seth, Appel Lawrence
机构信息
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Johns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
出版信息
JMIR Res Protoc. 2018 Feb 12;7(2):e27. doi: 10.2196/resprot.9096.
BACKGROUND
Physical activity has established health benefits, but motivation and adherence remain challenging.
OBJECTIVE
We designed and launched a three-arm randomized trial to test artificial intelligence technology solutions to increase daily physical activity in cancer survivors.
METHODS
A single-center, three-arm randomized clinical trial with an allocation ration of 1:1:1: (A) control, in which participants are provided written materials about the benefits of physical activity; (B) text intervention, where participants receive daily motivation from a fully automated, data-driven algorithmic text message via mobile phone (Coachtext); and (C) Voice Assist intervention, where participants are provided with an in-home on demand autonomous Intelligent Agent using data driven Interactive Digital Voice Assist on the Amazon Alexa/Echo (MyCoach).
RESULTS
The study runs for 5 weeks: a one-week run-in to establish baseline, followed by 4 weeks of intervention. Data for study outcomes is collected automatically through a wearable sensor, and data are transferred in real-time to the study server. The recruitment goal is 42 participants, 14 in each arm. Electronic health records are used to prescreen candidates, with 39 participants recruited to date.
DISCUSSION
This study aims to investigate the effects of different types of intelligent technology solutions on promoting physical activity in cancer survivors. This innovative approach can easily be expanded and customized to other interventions. Early lessons from our initial participants are helping us develop additional advanced solutions to improve health outcomes.
TRIAL REGISTRATION
Retrospectively registered on July 10, 2017 at ClinicalTrials.gov: NCT03212079; https://clinicaltrials.gov/ct2/show/NCT03212079 (Archived by WebCite at http://www.webcitation.org/6wgvqjTji).
背景
体育活动已被证实对健康有益，但激发动力和保持依从性仍然具有挑战性。
目的
我们设计并开展了一项三臂随机试验，以测试人工智能技术解决方案能否增加癌症幸存者的日常体育活动量。
方法
一项单中心、三臂随机临床试验，分配比例为1:1:1：（A）对照组，为参与者提供有关体育活动益处的书面材料；（B）文本干预组，参与者通过手机接收由全自动、数据驱动的算法短信提供的每日激励信息（Coachtext）；（C）语音辅助干预组，为参与者配备一个家用按需自主智能代理，该智能代理使用基于亚马逊Alexa/Echo的数据驱动交互式数字语音辅助功能（MyCoach）。
结果
该研究为期5周：一周的导入期以建立基线，随后是4周的干预期。研究结果数据通过可穿戴传感器自动收集，并实时传输到研究服务器。招募目标是42名参与者，每组14名。利用电子健康记录对候选人进行预筛选，迄今已招募了39名参与者。
讨论
本研究旨在调查不同类型的智能技术解决方案对促进癌症幸存者体育活动的影响。这种创新方法可以轻松扩展并定制用于其他干预措施。从最初参与者那里获得的早期经验教训正在帮助我们开发更多先进的解决方案，以改善健康结果。
试验注册
于2017年7月10日在ClinicalTrials.gov进行回顾性注册：NCT03212079；https://clinicaltrials.gov/ct2/show/NCT03212079（由WebCite存档于http://www.webcitation.org/6wgvqjTji）。
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