Cochlear implant expectations

Date Added
August 21st, 2021
PRO Number
Pro00113247
Researcher
Joshua Fabie

List of Studies

Keywords
Ears, Hearing, Surgery
Summary

The study will include 9 key informant interviews discussing how patients developed their impression of the benefit of an implant and how patients prefer expectation data be relayed. No video recordings will be performed during interviews. Interview notes or audio recordings will be taken and uploaded into a password protected network server. The results of interviews will mainly be descriptive. To test the plasticity of preoperative patient expectations and the impact of the CI evaluation the CIQOL expectations form will be administered prior to CI evaluation, directly after the CI evaluation, and prior to surgery for all patients who are undergoing cochlear implantation and meet inclusion/exclusion criteria and agree to participate. The 9 patients who undergo key informant interviews will also be part of the larger study group of 200 patients and have the same surveys administered and be subject to the same inclusion/exclusion criteria. The group of patients will also be asked about how they prefer expectation and QOL data to be relayed. All survey data will be collected in a secure RedCap database. Patients expectations at the three preoperative timepoints will be compared using paired T-tests. Data regarding how patients develop expectations and how they prefer expectation data to be presented to them will be mainly qualitative and discussed in terms of the most common themes from patient surveys and interviews. When exploring how patients prefer expectations and QOL data to be relayed we intend to include numbered clinical vignettes relaying differing levels of hearing capability. We will compare relaying information through vignettes to more conventional outcome measures such as speech recognition and QOL scores to determine which is the more effective means of communication.

Institution
MUSC
Recruitment Contact
David Aamodt
843-876-7069
aamodt@musc.edu



-- OR --