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Record W4406964168 · doi:10.1080/14992027.2025.2450660

A qualitative study of the role of hearing aid use and physical fit accessories in a sample of older adults

2025· article· en· W4406964168 on OpenAlexaff
Mohamed Rahme, Paula Folkeard, Susan Scollie

Bibliographic record

VenueInternational Journal of Audiology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsWestern University
Fundersnot available
KeywordsHearing aidAudiologyHearing lossCoachingMedicinePsychologyPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of the study was to qualitatively describe the experiences of hearing aid and physical fit accessories use during physical activity and exercise participation in a sample of older adults with hearing loss. DESIGN: A prospective qualitative research design was employed with the use of focus groups with older adult participants who were fitted with hearing aids and physical fit accessories. STUDY SAMPLE: Twelve older adults with hearing loss (six experienced and six new hearing aid users, age range 64 - 88 years) were recruited in this study. RESULTS: The barriers to hearing at physical activity and exercise environments were related to reverberation, loud music, and instructor's location and position relative to exercise members, whereas facilitators were aided hearing, the instructor projecting their voice and demonstrating the moves. The most preferred physical fit accessories were the retention lock and the corded and cordless hearing aid sleeves. The least preferred accessories were the hearing aid-to-glasses connector and stick'n stay tape. CONCLUSIONS: Individual differences and needs were factored into different perspectives on hearing aid and physical fit accessory use, emphasising patient-centered approach when coaching and counselling on device use for physical activity and exercise.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.402
Teacher spread0.353 · 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 teacher head, not a consensus.

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

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

Citations2
Published2025
Admission routes1
Has abstractyes

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