BeWell24: development and process evaluation of a smartphone “app” to improve sleep, sedentary, and active behaviors in US Veterans with increased metabolic risk

Matthew Buman, Dana Epstein, Monica Gutierrez, Christine Herb, Kevin Hollingshead, Jennifer Huberty, Eric B. Hekler, Sonia Vega-Lopez, Punam Ohri-Vachaspati, Andrea C. Hekler, Carol M. Baldwin

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Lifestyle behaviors across the 24-h spectrum (i.e., sleep, sedentary, and active behaviors) drive metabolic risk. We describe the development and process evaluation of BeWell24, a multicomponent smartphone application (or “app”) that targets behavior change in these interdependent behaviors. A community-embedded iterative design framework was used to develop the app. An 8-week multiphase optimization strategy design study was used to test the initial efficacy of the sleep, sedentary, and exercise components of the app. Process evaluation outcomes included objectively measured app usage statistics (e.g., minutes of usage, self-monitoring patterns), user experience interviews, and satisfaction ratings. Participants (N = 26) logged approximately 60 % of their sleep, sedentary, and exercise behaviors, which took 3–4 min/day to complete. Usage of the sleep and sedentary components peaked at week 2 and remained high throughout the intervention. Exercise component use was low. User experiences were mixed, and overall satisfaction was modest.

Original languageEnglish (US)
Pages (from-to)438-448
Number of pages11
JournalTranslational behavioral medicine
Volume6
Issue number3
DOIs
StatePublished - Sep 1 2016

Keywords

  • Diabetes
  • Exercise
  • Insomnia
  • Physical activity
  • Sitting
  • mHealth

ASJC Scopus subject areas

  • Applied Psychology
  • Behavioral Neuroscience

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