Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing
| Autor: | Katherine Holzhauer, Kostiantyn Sokolinskyi, Attia Goheer, Wendy L Bennett, Lindsay Martin, Thomas B. Woolf, Janelle W. Coughlin, Harold P Lehmann, Tetyana Remayeva, Di Zhao, Jeanne M. Clark, Yanif Ahmad, Shanshan Song, Jonathan Martinez |
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| Rok vydání: | 2021 |
| Předmět: |
020205 medical informatics
Computer science Population Medicine (miscellaneous) Target audience Health Informatics 02 engineering and technology body weight 03 medical and health sciences 0302 clinical medicine timing of eating 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine sleep habits education mHealth Original Paper education.field_of_study Data collection business.industry Ecology ecological momentary assessment Usability mhealth mobile applications Computer Science Applications Test (assessment) circadian surveys and questionnaires Survey data collection business Qualitative research |
| Zdroj: | JMIR Formative Research |
| ISSN: | 2561-326X |
| DOI: | 10.2196/26297 |
| Popis: | Background Collecting data on daily habits across a population of individuals is challenging. Mobile-based circadian ecological momentary assessment (cEMA) is a powerful frame for observing the impact of daily living on long-term health. Objective In this paper, we (1) describe the design, testing, and rationale for specifications of a mobile-based cEMA app to collect timing of eating and sleeping data and (2) compare cEMA and survey data collected as part of a 6-month observational cohort study. The ultimate goal of this paper is to summarize our experience and lessons learned with the Daily24 mobile app and to highlight the pros and cons of this data collection modality. Methods Design specifications for the Daily24 app were drafted by the study team based on the research questions and target audience for the cohort study. The associated backend was optimized to provide real-time data to the study team for participant monitoring and engagement. An external 8-member advisory board was consulted throughout the development process, and additional test users recruited as part of a qualitative study provided feedback through in-depth interviews. Results After ≥4 days of at-home use, 37 qualitative study participants provided feedback on the app. The app generally received positive feedback from test users for being fast and easy to use. Test users identified several bugs and areas where modifications were necessary to in-app text and instructions and also provided feedback on the engagement strategy. Data collected through the mobile app captured more variability in eating windows than data collected through a one-time survey, though at a significant cost. Conclusions Researchers should consider the potential uses of a mobile app beyond the initial data collection when deciding whether the time and monetary expenditure are advisable for their situation and goals. |
| Databáze: | OpenAIRE |
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