User’s perspective of benefits of frequency-lowering hearing aids and electric acoustic stimulation cochlear implants in daily life
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Different technological alternatives are nowadays offered to persons with a severe-to-profound high-frequency hearing loss (HFHL). However, benefits of those technologies are still not clear. OBJECTIVE: To explore the benefits provided by frequency-compression (FC) or frequency-transpos ition (FT) hearing aids (HAs), and the electric acoustic stimulation (EAS) cochlear implant, from the perspective of users with a HFHL. METHODS: A qualitative case study research design was selected. Ten adults with a HFHL who participated in a previous FC, FT and EAS trial were enrolled. Individual semi-structured interviews were conducted. Participants were questioned about their experience with each technology. Data were analyzed using a qualitative content analysis. RESULTS: Participants reported better speech understanding in quiet and noisy situations, plus improved high-frequency sound detection with both HAs. Some participants mentioned lower levels of listening effort and fatigue and an improvement in self-confidence, which led to increased social participation. Most participants preferred FC or FT to their own HAs. The participant who received an EAS implant reported better performances with this technology. CONCLUSIONS: From the participants’ perspective, the three technologies can deliver greater benefits than conventional amplification for people with a severe-to-profound HFHL, but the EAS implant appears as potentially more beneficial than both HAs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it