Crowdsourcing Remote Co-design Towards Improving the Validity and Reliability of mHealth Application Development – A Case Study on Sleep Solved: A mHealth App Designed Virtually with Teens

• DOI: 10.4108/eetpht.11.9416
• Publication Date: 2025-06-05T11:18:27Z
• Authors: Anthony Duffy; Sarah E Bennett; Lucy Yardley; Sylvain Moreno
• Keywords: mHealth; Crowdsourcing; Validity

INTRODUCTION: Co-design has become a fundamental pillar of formative digital health research. Typically, this approach involves in–person workshops that involve rich but limited amount data. Virtually crowdsourcing co-design, however, provides the promise rapid and vastly increased This is novel, exploratory in mHealth design may appease common research concerns surrounding reliability validity, whilst providing swifter feedback to meet product development timelines.OBJECTIVES: The objective single case study was explore virtual, crowdsourced, co-design Sleep Solved, an educational sleep app designed with teens. In doing so, we wished learn which virtual methods were used engage teens how these can be adapted for large-scale ideation testing.METHODS: We conducted enquiry-based iterative utilising Bayazit 3-stage model. 85 participated over 11 months. Data thematically analysed several iterations.RESULTS: Rapid allowed quick pivots short time frame. Four stages from led changes scientific information contextualisation user experience, lo-fidelity mock-ups through coded beta.CONCLUSION: Solved exemplified potential virtually mHealth. Key evolution will ability leverage big data AI machine learning approaches collation synthesization, such meaningful contextual findings applied line software timelines.