Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study

Giorgos Dritsakis, Dimitris Kikidis, Nina Koloutsou, Louisa Murdin, Athanasios Bibas, Katherine Ploumidou, Ariane Laplante-Lévesque, Niels Henrik Pontoppidan, Doris-Eva Bamiou, Giorgos Dritsakis, Dimitris Kikidis, Nina Koloutsou, Louisa Murdin, Athanasios Bibas, Katherine Ploumidou, Ariane Laplante-Lévesque, Niels Henrik Pontoppidan, Doris-Eva Bamiou

Abstract

Introduction: The holistic management of hearing loss (HL) requires an understanding of factors that predict hearing aid (HA) use and benefit beyond the acoustics of listening environments. Although several predictors have been identified, no study has explored the role of audiological, cognitive, behavioural and physiological data nor has any study collected real-time HA data. This study will collect 'big data', including retrospective HA logging data, prospective clinical data and real-time data via smart HAs, a mobile application and biosensors. The main objective is to enable the validation of the EVOTION platform as a public health policy-making tool for HL.

Methods and analysis: This will be a big data international multicentre study consisting of retrospective and prospective data collection. Existing data from approximately 35 000 HA users will be extracted from clinical repositories in the UK and Denmark. For the prospective data collection, 1260 HA candidates will be recruited across four clinics in the UK and Greece. Participants will complete a battery of audiological and other assessments (measures of patient-reported HA benefit, mood, cognition, quality of life). Patients will be offered smart HAs and a mobile phone application and a subset will also be given wearable biosensors, to enable the collection of dynamic real-life HA usage data. Big data analytics will be used to detect correlations between contextualised HA usage and effectiveness, and different factors and comorbidities affecting HL, with a view to informing public health decision-making.

Ethics and dissemination: Ethical approval was received from the London South East Research Ethics Committee (17/LO/0789), the Hippokrateion Hospital Ethics Committee (1847) and the Athens Medical Center's Ethics Committee (KM140670). Results will be disseminated through national and international events in Greece and the UK, scientific journals, newsletters, magazines and social media. Target audiences include HA users, clinicians, policy-makers and the general public.

Trial registration number: NCT03316287; Pre-results.

Keywords: big data; hearing aids; hearing loss; public health.

Conflict of interest statement

Competing interests: Oticon A/S, which manufactures the HAs used in this study, is an EVOTION project partner but not the sponsor. The EVOTION HA is a research-only extension based on the Oticon Opn HA made specifically for this project.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Figures

Figure 1
Figure 1
Flow diagram of the prospective data collection (part 2) of the study. See the ‘Prospective data collection: EVOTION HA fitting pathway’ section for details about the assessments. GHABP, Glasgow Hearing Aid Benefit Profile; HA, hearing aid; HADS, Hospital Anxiety and Depression Scale; HUI3, Health Utility Index Mark 3; MoCA, Montreal Cognitive Assessment; PTA, pure tone audiometry; REM, real-ear measurement.

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Source: PubMed

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