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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
JournalJournal of medical Internet research
Volume20
Issue number2
DOIs
StatePublished - Feb 2018

ASJC Scopus subject areas

  • Health Informatics

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