Project synopsis: This prospective cohort study investigates impact of (1) hearing loss and (2) cochlear implantation on cost and health state on one hand, and employment, productivity and social wellbeing on the other hand in a professionally active group using validated questionnaires. Participants: The investigators aim to include 100 professional active adults between 18 and 65 years old. All participants have a bilateral severe-to-profound sensorineural or mixed hearing loss. Due to several reasons such as an optimal hearing aid fitting, the presence of a residual hearing or physical contra-indications, half of these participants will not be implanted with CI. Additionally, 100 participants with a single-sides deafness (SSD) in the acute or chronic setting (SDD present for at least three months) will be included. Study design Study measures: All audiological tests and patient-reported outcome measures will be included in this test protocol and repeated throughout the follow-up visits depending on aided or unaided setting. The cognitive evaluation will be executed during the first and last test moment. The investigators anticipate that the protocol will take 1 hour per follow-up in the hospital (audiological testing and to go over the questionnaires), plus an extra hour at home to fill out the questionnaires. For the cognitive tests, an extra hour in the hospital will be scheduled. Hypothesis As a primary endpoint, the investigators anticipate demonstrating that severe-to-profound hearing loss has a significant impact on sick leave and self-reported productivity. Health state will also be analyzed as a secondary endpoint because the investigators anticipate only marginal improvement (if any) on these instruments due to the lack of sensitivity and responsiveness, even in this population. The investigators will also determine the rate of usage and non-usage at this long-term follow-up to demonstrate the utility of cochlear implants. Statistical analysis IBM SPSS Statistics (IBM; Armonk, NY) will be used for the statistical analyses. The participants' hearing profiles will be summarized using descriptive statistics (median, and range). In view of the sample size, non-parametric tests and linear mixed models (to describe evolution in time and difference between groups) will be used. Quantitative data will be presented as median and range (minimum and maximum). Descriptives will be used to summarize the outcomes of the subjective data logging. For the speech perception in noise results, a Wilcoxon signed-rank test will be used. In addition, to correct for the multiple speech in noise test configurations, Holm's correction will be applied. The level of significance will be set at p.0.05. Data storage REDCap (Research Electronic Data Capture) is a secure, web-based application designed exclusively to support data capture for research studies. REDCap provides an interface for data entry (with data validation) and audit trails for tracking data manipulation and export procedures. Data will be pseudomized before storage in REDCap.
Age range
18 Years – 65 Years
Sex
ALL
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Change in sick leave after 3, 6 and 12 months
Timeframe: Baseline; 3 months; 6 months; 12 months
Change in self-reported productivity after 3, 6 and 12 months
Timeframe: Baseline; 3 months; 6 months; 12 months