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Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity

Authors :
Sophie E Claudel
Joniqua N Ceasar
Marcus R Andrews
Sherine El-Toukhy
Nicole Farmer
Kimberly R Middleton
Melanie Sabado-Liwag
Valerie M Mitchell
Kosuke Tamura
Alyssa T Brooks
Gwenyth R Wallen
Tiffany M. Powell-Wiley
Source :
BMJ Health & Care Informatics, Vol 27, Iss 3 (2020)
Publication Year :
2020
Publisher :
BMJ Publishing Group, 2020.

Abstract

Introduction A mixed-method, co-design approach to studying the adoption of mobile health (mHealth) technology among African-American (AA) women has not been fully explored. Qualitative data may contextualise existing knowledge surrounding perceptions of mHealth among AA women as part of formative work for designing a physical activity application (app).Methods A convenience sample of 16 AA women completed an informatics survey prior to participating in focus groups exploring their use of mobile technology and health apps. Survey responses provided frequency data, while iterative transcript analysis of focus groups identified themes.Results The majority of participants (mean age=62.1 years, SD=6.6) felt comfortable using a tablet/smartphone (75.0%). Most (68.8%) reported using health-related apps, primarily focused on physical activity and nutrition. Focus groups revealed four overarching concepts, including (1) user attachment, (2) technology adoption, (3) potential facilitators and (4) potential barriers. Important features which may serve as facilitators or barriers to future adoption of a mobile app for an mHealth intervention include individual app tailoring and software concerns, respectively.Discussion Thematic analysis revealed high user attachment to smartphones and described participants’ process for adopting new mHealth technology.Conclusion Early engagement of target end users as a part of a broader co-design and community-based participatory research process for developing mHealth technologies may be useful for sustained adoption of these tools in future mHealth behavioural interventions.

Details

Language :
English
ISSN :
20201001 and 26321009
Volume :
27
Issue :
3
Database :
Directory of Open Access Journals
Journal :
BMJ Health & Care Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.614aeffdfaf47edb76471d345dd2038
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjhci-2020-100140