P68 Accessible mobile interface design for reviewing obstructive sleep apnoearelated biometric data in a non-diagnostic mHealth tool [abstract only]

Introduction

Obstructive sleep apnoea (OSA) affects over one billion people globally but remains underdiagnosed due to limited access to formal sleep testing.1 Consumer-grade wearables can collect overnight physiological data such as heart rate and blood oxygen levels, and their use in sleep monitoring is growing rapidly.2 However, poor accessibility in current mHealth apps limits users’ ability to interpret and act on sleep-related data, reinforcing gaps in diagnostic pathways.3 4

Methods

Wireframes were designed in Figma and implemented in React Native. Physiological data and indices, including the Apnoea-Hypopnoea Index, Oxygen Desaturation Index (ODI), and Epworth Sleepiness Scale (ESS), were displayed through a modular dashboard. A central accessibility context enabled real-time adjustments to font size, colour contrast, orientation, and text-only summaries. Interfaces were evaluated for WCAG 2.1 compliance via Lighthouse audits and manual inspection (figure 1).

Results

Six visual modes were implemented: Normal, High Contrast, Yellow Hue, Bold Font, Landscape, and Text-Only. All screens met WCAG 2.1 criteria, with average Lighthouse scores of 98/100 and confirmed layout responsiveness. Clinical input supported the inclusion of ODI and ESS to enhance primary care triage utility (figure 2).

Discussion

This project demonstrates the feasibility of an inclusive mHealth interface for accessible sleep data review. Although non-diagnostic, the app helps users interpret wearable-derived data and initiate earlier conversations with clinicians. It directly addresses usability and equity gaps in early diagnostic pathways. Further usability testing is planned.