An Engagement Engine for Fitness Trackers
NCT02960386 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 184
Last updated 2021-02-24
Summary
The iTrackFitness study aims to test the "engagement engine" that was developed from activity tracker and survey data gathered during phase I of the study. For the current phase the "engagement engine" will support successful and sustained engagement with health trackers thereby increasing physical activity.
Conditions
Interventions
- OTHER
-
Machine Learning Algorithm
The algorithm will help participants improve physical activity by sustaining long term engagement with their fitness tracker.
Sponsors & Collaborators
-
Robert Wood Johnson Foundation
collaborator OTHER -
Massachusetts General Hospital
lead OTHER
Principal Investigators
-
Kamal Jethwani, MD, MPH · Massachusetts General Hospital
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 95 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-01-31
- Primary Completion
- 2018-04-30
- Completion
- 2020-07-31
Countries
- United States
Study Locations
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