MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance

A growing body of research has focused on the utility of adaptive intervention models for promoting long-term weight loss maintenance; however, evaluation of these interventions often requires customized smartphone applications. Building such an app from scratch can be resource-intensive. To support...

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Main Authors: Yu-Peng Chen (Author), Julia Woodward (Author), Meena N. Shankar (Author), Dinank Bista (Author), Umelo Ugwoaba (Author), Andrea Brockmann (Author), Kathryn M. Ross (Author), Jaime Ruiz (Author), Lisa Anthony (Author)
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Published: Frontiers Media S.A., 2024-04-01T00:00:00Z.
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100 1 0 |a Yu-Peng Chen  |e author 
700 1 0 |a Julia Woodward  |e author 
700 1 0 |a Meena N. Shankar  |e author 
700 1 0 |a Dinank Bista  |e author 
700 1 0 |a Umelo Ugwoaba  |e author 
700 1 0 |a Andrea Brockmann  |e author 
700 1 0 |a Kathryn M. Ross  |e author 
700 1 0 |a Jaime Ruiz  |e author 
700 1 0 |a Lisa Anthony  |e author 
245 0 0 |a MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance 
260 |b Frontiers Media S.A.,   |c 2024-04-01T00:00:00Z. 
500 |a 2673-253X 
500 |a 10.3389/fdgth.2024.1334058 
520 |a A growing body of research has focused on the utility of adaptive intervention models for promoting long-term weight loss maintenance; however, evaluation of these interventions often requires customized smartphone applications. Building such an app from scratch can be resource-intensive. To support a novel clinical trial of an adaptive intervention for weight loss maintenance, we developed a companion app, MyTrack+, to pair with a main commercial app, FatSecret (FS), leveraging a user-centered design process for rapid prototyping and reducing software engineering efforts. MyTrack+ seamlessly integrates data from FS and the BodyTrace smart scale, enabling participants to log and self-monitor their health data, while also incorporating customized questionnaires and timestamps to enhance data collection for the trial. We iteratively refined the app by first developing initial mockups and incorporating feedback from a usability study with 17 university students. We further improved the app based on an in-the-wild pilot study with 33 participants in the target population, emphasizing acceptance, simplicity, customization options, and dual app usage. Our work highlights the potential of using an iterative human-centered design process to build a companion app that complements a commercial app for rapid prototyping, reducing costs, and enabling efficient research progress. 
546 |a EN 
690 |a mHealth apps 
690 |a human-centered design 
690 |a weight management 
690 |a adaptive interventions 
690 |a self-monitoring 
690 |a feedback 
690 |a Medicine 
690 |a R 
690 |a Public aspects of medicine 
690 |a RA1-1270 
690 |a Electronic computers. Computer science 
690 |a QA75.5-76.95 
655 7 |a article  |2 local 
786 0 |n Frontiers in Digital Health, Vol 6 (2024) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fdgth.2024.1334058/full 
787 0 |n https://doaj.org/toc/2673-253X 
856 4 1 |u https://doaj.org/article/ef6f4f8ae06542a7833d1dbc3d7357a8  |z Connect to this object online.