P-CHAT: Comparison of Direct to Consumer Delivery Models for Hearing Devices
NCT ID: NCT04618315
Last Updated: 2025-03-06
Study Results
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View full resultsBasic Information
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COMPLETED
NA
584 participants
INTERVENTIONAL
2020-12-01
2024-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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Audiology-Based Best Practice
Hearing aids will be fit using current best practices used by audiologists to fit hearing aids.
Hearing Aids
Receiver-in-the-ear hearing aids.
Consumer Decides
Hearing aids will be self fit by patients using an interactive application on a tablet computer. Patients will choose their preferred hearing aid settings after comparing four settings with varying loudness levels.
Hearing Aids
Receiver-in-the-ear hearing aids.
Efficient Fitting
Hearing aids will be self fit by patients using an interactive application on a tablet computer. Patients will choose their preferred hearing aid settings after comparing four settings with varying base and treble settings.
Hearing Aids
Receiver-in-the-ear hearing aids.
Interventions
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Hearing Aids
Receiver-in-the-ear hearing aids.
Eligibility Criteria
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Inclusion Criteria
* Mild or moderate hearing difficulty.
* Normal cognition.
* No prior hearing aid experience.
* Ability and willingness to pay privately ($650.00) for hearing aids
* Ability to read and understand English
* Symmetric hearing loss, no greater than moderate in degree
Exclusion Criteria
50 Years
79 Years
ALL
No
Sponsors
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Northwestern University
OTHER
Responsible Party
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Sumit Dhar
Professor
Principal Investigators
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Sumitrajit Dhar
Role: PRINCIPAL_INVESTIGATOR
Northwestern University
Locations
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Northwestern Memorial Hospital
Chicago, Illinois, United States
Northwestern University Center for Audiology, Speech, Language, and Learning
Evanston, Illinois, United States
Sertoma Speech and Hearing Center
Palos Hills, Illinois, United States
University of Texas Medical Branch
Galveston, Texas, United States
Countries
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Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Other Identifiers
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HL-2019C1-16094
Identifier Type: -
Identifier Source: org_study_id
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