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mHealth4U: designing for health and wellbeing self-management

Published: 22 January 2021 Publication History

Abstract

Many individuals find it difficult to meet their personal health and wellbeing goals. To address this, mobile health (mHealth) apps aimed at improving individuals' diet, physical activity, sleep and mental health, are emerging at an increasing pace. These modern digital health interventions are a promising solution to promote behaviour change and help people maintain better health while controlling rising healthcare expenditures. However, the real-life effects of mHealth apps are often overshadowed by high dropout rates, with the loss of participants during the intervention seeming to be the rule rather than the exception. We designed the mHealth4U model as a sample-based study of user requirement and design preferences to enable more targeted health and wellbeing self-management. This model is aimed at understanding how life-changing digital health interventions can be designed and what software design components might increase consumers' acceptance, adherence and continuous engagement. We put forward three hypotheses in terms of designing an mHealth app that is consumer-centred: consumers prefer (1) self-management mHealth apps that target multiple key health and wellbeing dimensions, (2) intelligent recommendations, and (3) behaviour change support delivered precisely where, when and how it is needed most. We design the mHealth4U model around the 3U cyber security design components (user, usage and usability) and validate the hypotheses through a randomised sampling test with 114 participants. The results of this research will inform the design of a next-generation of digital health interventions capable of supporting the end-users to achieve the healthy lifestyle they deserve.

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  • (2024)Towards Digital Zen: A Systematic Review of Emerging Digital Interventions for Mental WellnessProceedings of the Future Technologies Conference (FTC) 2024, Volume 310.1007/978-3-031-73125-9_7(93-114)Online publication date: 8-Nov-2024
  • (2023)Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping ReviewJournal of Medical Internet Research10.2196/5034225(e50342)Online publication date: 18-Dec-2023
  • (2023)Understanding Barriers of Missing Data in Personal Informatics SystemsPervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_40(603-618)Online publication date: 11-Jun-2023
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cover image ACM Conferences
ASE '20: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
September 2020
195 pages
ISBN:9781450381284
DOI:10.1145/3417113
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 22 January 2021

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Author Tags

  1. context-awareness
  2. digital health
  3. intervention design
  4. just-in-time feedback
  5. personalisation
  6. system design
  7. user requirements

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View all
  • (2024)Towards Digital Zen: A Systematic Review of Emerging Digital Interventions for Mental WellnessProceedings of the Future Technologies Conference (FTC) 2024, Volume 310.1007/978-3-031-73125-9_7(93-114)Online publication date: 8-Nov-2024
  • (2023)Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping ReviewJournal of Medical Internet Research10.2196/5034225(e50342)Online publication date: 18-Dec-2023
  • (2023)Understanding Barriers of Missing Data in Personal Informatics SystemsPervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_40(603-618)Online publication date: 11-Jun-2023
  • (2022)Digital Twins for Managing Health Care Systems: Rapid Literature ReviewJournal of Medical Internet Research10.2196/3764124:8(e37641)Online publication date: 16-Aug-2022
  • (2022)Personalization of Intervention Timing for Physical Activity: Scoping ReviewJMIR mHealth and uHealth10.2196/3132710:2(e31327)Online publication date: 28-Feb-2022

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