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Record W7085733431 · doi:10.23641/asha.30235315

Experience of a first hearing aid fitting (Simoneau et al., 2025)

2025· other· en· W7085733431 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsHearing aidIntervention (counseling)PsychosocialDescriptive statisticsQualitative propertyInclusion (mineral)Program evaluationData collection

Abstract

fetched live from OpenAlex

Purpose: This study is the first step in a project aimed at developing an intervention program for new hearing aid (HA) users and their relatives in the Province of Quebec, Canada. The objectives were to describe the experience of a first HA fitting from the perspective of adults with hearing loss and their relatives, to identify facilitators and barriers to the fitting process, and to identify elements that should be included in an intervention program to support HA adoption and use. Satisfaction regarding HAs and fitting services was also assessed after fitting.Method: A mixed-methods design combining qualitative and quantitative data sources was used. Interviews were conducted with 10 new HA users, seven relatives, and 10 hearing care professionals. HA users also completed a questionnaire to assess their satisfaction with HAs and services after fitting. A qualitative content analysis was done on the data obtained from the interviews, and descriptive statistics were used to analyze data on satisfaction.Results: Identified facilitators and barriers to HA fitting for new users were related to professional services, HAs, relatives, and personal factors. Elements for inclusion in the intervention program were categorized into two groups: information to provide and support to offer. Participants reported a high satisfaction level with HAs (M = 87.6 ± 7.5%).Conclusions: Several factors can influence the success of a first HA fitting, including aspects related to technology, professional services, and psychosocial elements. Participants suggested important components to include in the intervention for first-time fittings. These results will be used to develop an intervention program for new HA users and their relatives.Supplemental Material S1. Interviews grids for semi-structured interviews.Simoneau, K., Cormier, L., Lefebvre-Demers, M., Blackburn, M., Côté, C., Boucher, N., Croteau, C., & Hotton, M. (2025). The experience of a first hearing aid fitting: Perspectives from adults with hearing loss, their relatives, and hearing care professionals. Journal of Speech, Language, and Hearing Research, 68(11), 5592–5607. https://doi.org/10.1044/2025_JSLHR-25-00162

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.139
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.027
GPT teacher head0.303
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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