Protocol for the co-design of an online support service for adults with hearing loss

Alicia Zou*, Diana Tang, Melanie Ferguson, Kerry Sherman, Catherine McMahon, Liz Gill, Annie Lau, Jane Lee, Steve Williamson, Elizabeth Davies, Kate Sheng, Simon O’Toole, Andrew Georgiou, Payal Mukherjee, Peter Wolnizer, Bamini Gopinath

*Corresponding author for this work

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Abstract

Introduction Untreated hearing loss is reported to negatively impact on an individual’s quality of life, affecting their psychological and physical health and placing them at greater risk of developing dementia. Despite this, hearing loss management is often delayed by up to a decade. This is likely due to difficulties in navigating the hearing care pathway, and the absence of a central, unbiased reference point for consumer-friendly hearing health information and resources. We intend to co-design an online support service for adults with hearing loss with the following aims: 1) to understand unmet needs and consumer barriers to accessing hearing health information, 2) to identify solutions to these unmet needs that can be developed into prototype ideas, 3) to incrementally build on iterations of a prototype until a usable online support service is developed and ready for real-life testing with end-users, and 4) to test and evaluate the usability, accessibility, and effectiveness of the prototype from the consumer’s perspective, so that the prototype can be refined into the final product. Methods and analysis This will be a mixed method study. Consumers will be involved in all stages of the design of the project following the Hasso Plattner model of design thinking. The qualitative component will involve sprints and semi-structured interviews to access the consumer perspective and understand unmet needs and challenges regarding the access of online hearing health information. For the quantitative component, an online survey will be administered prior to prototype testing as part of the remote usability study to collect self-efficacy and eHealth literacy outcome measures via validated questionnaires. Data collection will also be performed post-prototype testing for evaluation purposes. Finally, heuristic evaluation of the prototype will be conducted by an eLearning expert to help refine the prototype into the final product.

Original languageEnglish
Article numbere0310521
Pages (from-to)1-10
Number of pages10
JournalPLoS ONE
Volume19
Issue number9
DOIs
Publication statusPublished - 26 Sept 2024

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Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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