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Validating a Self-fitting Hearing Aid

Validating a Self-fitting Hearing Aid

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05246904
Enrollment
41
Registered
2022-02-18
Start date
2022-03-17
Completion date
2023-02-28
Last updated
2023-04-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hearing and Vision Loss

Keywords

hearing aids, self-fitting

Brief summary

Eargo, Inc. has developed a hearing aid that contains self-fitting gain software that allows adults with mild-to-moderate hearing loss to test their hearing sensitivity and program hearing aids to match their measured hearing loss. Traditionally, hearing aids are custom programmed by a hearing health professional based on a professional hearing test. This technology has the potential to improve affordability and accessibility of hearing aids for adults with mild-to-moderate hearing loss. We propose to validate Eargo's self-fitting software in a clinical trial comparing self-fitting hearing aid outcomes to the same hearing aid fit by a professional following usual clinical best practice for fitting hearing aids.

Detailed description

The study will recruit 30-50 adults age 18 and over with mild-to-moderate hearing loss in both ears. We will aim to recruit a sample with roughly equal number of males and females and new and experienced hearing aid users (defined by any hearing aid use within the previous 6 months). Hearing loss will be measured using the results of a standard clinical hearing test. We will use a within-subject, crossover design in which all participants will complete both field trial hearing aid conditions (self-fit and clinically fit hearing aids). The order of the field trials will be randomized across participants to account for any potential order effects. After each field trial, participants will visit the lab to complete study outcome measures, including hearing aid benefit, subjective sound quality, and speech in noise intelligibility testing.

Interventions

OTHERFitting algorithm

The best fitting algorithm will be selected by the audiologist (arm 1) or software.

Sponsors

University of Minnesota
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Masking description

Participants will be randomly assigned and will not know which fit is first.

Intervention model description

Participants will be randomly assigned to arm 1 (audiologist fit) or arm 2 (self fit) first. After 2-3 weeks they will be tested and then assigned to the opposite arm.

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* mild to moderate hearing loss ability to follow written directions,

Exclusion criteria

* inability to use software during first visit

Design outcomes

Primary

MeasureTime frameDescription
Abbreviated profile of hearing aid benefit2-3 weeksSurvey of subjective benefit
Speech in noise test, AZ Bio sentencesImmediately after fittingSentence recognition test in background noise

Secondary

MeasureTime frameDescription
Subjective sound quality rating2-3 weeksParticipants rate the quality of sound through hearing aids

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026