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NCT06418321

Early Identification of Age-related Hearing Impairment

Aalto University·ClinicalTrials.gov·device·Device trialRecruiting
View on ClinicalTrials.gov →
Study focus
Disease/Condition
Hearing Loss, Age-Related
Drug/Device/Intervention
Investigational device
Study type
Observational
Intervention type
device
Sponsor & location
Primary sponsor
Aalto University
Location
Espoo,Helsinki, Finland
Timeline & enrollment
Phase
N/A
Start date
Apr 04, 2024
End date
May 01, 2026
Enrollment
230 participants
Primary outcome

Comparison between investigational device and gold-standard device (otomicroscope) findings.,Comparison between the automated hearing screening self-test result and the gold-standard hearing test result performed with clinical Audiometer by an Audiologist.

Summary

The need for future hearing rehabilitation is enormous. World Health Organization (WHO 2021)
 has estimated that by 2050, 2.5 billion people will have some degree of hearing loss, and 1/4
 of them will require hearing rehabilitation. Currently, healthcare systems and processes are
 already overwhelmed and not adequately equipped to screen and diagnose this rapidly growing
 population suffering from hearing impairment. This study aims to investigate if the
 diagnostics of age-related hearing loss can be accelerated by involving patients in the
 hearing assessment process.

ICD-10 classifications
Other hearing lossHearing loss, unspecifiedOther specified hearing lossOtotoxic hearing lossSudden idiopathic hearing loss
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06418321
Type
Device Trial
About this record

Access comprehensive clinical trial information for NCT06418321 through Pure Global AI's free database. This phase not specified trial is sponsored by Aalto University and is currently Recruiting. The study focuses on Hearing Loss, Age-Related. Target enrollment is 230 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.