Big Data Supporting Public Health Hearing Policies

NCT ID: NCT03316287

Last Updated: 2020-03-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

1080 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-03-01

Study Completion Date

2018-11-30

Brief Summary

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Hearing Loss (HL) affects over 5% of the world's population (WHO 2014) and is the 5th leading cause of Years Lived with Disability. HL is currently managed with Hearing Aids (HAs), i.e. programmable sound amplification devices that are worn by the hearing impaired subjects to address their hearing difficulties. HA use however is often problematic, costly and with poor overall benefits. The holistic management of HL requires appropriate public health policies for HL prevention, early diagnosis, long-term treatment and rehabilitation; detection and prevention of cognitive decline; and socioeconomic inclusion of HL patients. Currently the evidential basis for forming such policies is limited.

The EVOTION project proposes to address this by collecting and analysing a big set of heterogeneous data, including HA usage, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data.

This will be done by:

i. accessing big datasets of existing HA user data from the EVOTION clinical partners (UCL/UCLH and GST in the UK; OTICON in Denmark) ii. collection of prospective HA user data who will be recruited to the prospective EVOTION study and who will undergo some additional assessments iii. collection of real time dynamic data of the human participant HA users who will be given a smart phone with different apps (auditory tests; auditory training), sensors (recording of heart rate, blood pressure, respiratory rate etc.) and smart HAs (recording environmental factors such as noise levels, type of noise etc.) so that real life contextual factors that affect HA usage and outcome can be identified.

These data will be analysed with big data analysis/data mining techniques in order to identify relationships between these in order to use this information to derive and support public health decisions.

Detailed Description

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Conditions

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Hearing Loss

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Hearing aid + mobile phone

Group Type EXPERIMENTAL

Hearing aid

Intervention Type DEVICE

Smart hearing aid to allow collection of real time hearing aid usage data

Mobile phone

Intervention Type DEVICE

Mobile phone linked with the hearing aids to allow users to change the device settings and perform additional listening tests

Hearing aid + mobile phone + biosensor

Group Type EXPERIMENTAL

Hearing aid

Intervention Type DEVICE

Smart hearing aid to allow collection of real time hearing aid usage data

Mobile phone

Intervention Type DEVICE

Mobile phone linked with the hearing aids to allow users to change the device settings and perform additional listening tests

Sensor

Intervention Type DEVICE

Wearable biosensor for the collection of physiological data

Interventions

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Hearing aid

Smart hearing aid to allow collection of real time hearing aid usage data

Intervention Type DEVICE

Mobile phone

Mobile phone linked with the hearing aids to allow users to change the device settings and perform additional listening tests

Intervention Type DEVICE

Sensor

Wearable biosensor for the collection of physiological data

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Age \>18 years
* Basic understanding of oral and written English
* Unilateral and/or bilateral mild to severe sensorineural hearing loss
* Willing to use smart hearing aids for at least 2 hours daily on average
* Willing/capable to use a mobile phone

Exclusion Criteria

* Dementia (MoCA\<22 )
* Not agreeing or able to attend for f/u appointments
* Not agreeing or able to use HA \>2 hours daily (average)
* Not sufficient vision to use smartphone ap
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University College, London

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Guy's and St. Thomas' Foundation Trust

London, , United Kingdom

Site Status

Countries

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United Kingdom

References

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Dritsakis G, Kikidis D, Koloutsou N, Murdin L, Bibas A, Ploumidou K, Laplante-Levesque A, Pontoppidan NH, Bamiou DE. Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study. BMJ Open. 2018 Feb 15;8(2):e020978. doi: 10.1136/bmjopen-2017-020978.

Reference Type DERIVED
PMID: 29449298 (View on PubMed)

Other Identifiers

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17/0064

Identifier Type: -

Identifier Source: org_study_id

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