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Improving Clinical Efficiency by Reducing Scheduled Follow-ups Using Cochlear America's Population Mean Mapping Strategy

Recruiting

Who can join

Ages 18 to 85 · All sexes

Full eligibility criteria
Inclusion Criteria:

* Postlingually deafened
* Adults (18+)
* New cochlear implant recipients with Cochlear Americas devices; identified prior to activation
* Able to perform follow-up testing tasks (repeating words/sentences, indicating they heard a sound stimulus, completing questionnaires)
* English speakers

Exclusion Criteria:

* Patients who select other cochlear implant manufactured devices
* Pre-lingually deafened
* Multiple disabilities
* Unable to perform follow-up testing tasks (repeating words/sentences, indicating they heard a sound stimulus, completing questionnaires)
* Non-English speakers
* Children under the age of 18

About the study

The study is about the importance of each follow-up visit after activating a new cochlear implant in addition to evaluating the effectiveness and efficiency of a new programming strategy from Cochlear Americas. Investigators are looking for patients who have recently selected Cochlear Americas as their cochlear implant manufacturer of choice for their upcoming surgery. The aim of this study is to determine if 1) patient outcomes remain stable when reducing follow-up appointments and 2) Cochlear's population mean mapping can produce similar outcomes with patients while additionally reducing appointment times. The hypothesis is that using population mean mapping and reducing the number of follow-up visits after activation will yield similar performance outcomes to a standard of care while decreasing the length of appointment times and number of appointments needed for each patient.

What is being tested

Sponsor: Massachusetts Eye and Ear Infirmary · Participants: 48 · Started: Feb 27, 2024

Contact the study team

Official record on ClinicalTrials.gov — NCT06960616

Locations in the U.S.

MassachusettsMass Eye and Ear, Boston

Conditions

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.