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MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance.
Chen, Yu-Peng; Woodward, Julia; Shankar, Meena N; Bista, Dinank; Ugwoaba, Umelo; Brockmann, Andrea; Ross, Kathryn M; Ruiz, Jaime; Anthony, Lisa.
Afiliação
  • Chen YP; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
  • Woodward J; Department of Computer Science and Engineering, University of South Florida, Tampa, FL, United States.
  • Shankar MN; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
  • Bista D; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
  • Ugwoaba U; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
  • Brockmann A; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
  • Ross KM; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
  • Ruiz J; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
  • Anthony L; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Front Digit Health ; 6: 1334058, 2024.
Article em En | MEDLINE | ID: mdl-38711677
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article