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Record W4403398189 · doi:10.1080/14992027.2024.2402845

New Brunswick HEARS: outcomes of a community-delivered hearing intervention adapted for older adults in Atlantic Canada

2024· article· en· W4403398189 on OpenAlexaffabout
Marilyn Reed, Kate Ellis, Devin J. Sodums, Anna Santiago, Angela M. Ryan, Nick Lignos, Carrie L. Nieman

Bibliographic record

VenueInternational Journal of Audiology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsBaycrest HospitalToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsAudiologyIntervention (counseling)MedicineGerontologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess acceptability and benefit of a community-based hearing intervention delivered at no cost to lower-income older adults with untreated hearing loss in New Brunswick, Canada. DESIGN: Mixed method pre-post intervention study investigating aspects of communication function and social support at baseline and three months post-intervention. STUDY SAMPLE: 124 of 175 independent-living older adults screened at the study site and in local community centres in low-income neighbourhoods were recruited into the study. RESULTS: In 70 (56.5%) participants self-identified as female and 54 (43.5%) as male, with mean age of 74.5 years, mean effect sizes measured from baseline to 3-months post-intervention were 0.99 (large) for HHIE-S, 0.58 (medium) for DSSI, and 1.02 (large) for LSEQ indicating significant improvement in self-perceived communication function, social support and listening self-efficacy, respectively. CONCLUSION: The HEARS program is feasible to implement, despite Covid-19 pandemic related challenges, highly acceptable to participants, and associated with a range of benefits that include improved communication function, self-efficacy and social support. The success of HEARS in a new population in a second Canadian province indicates its adaptability and suitability for scaling to extend the reach of hearing services for older adults who may not otherwise access care.

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)0.001
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 score0.414
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.032
GPT teacher head0.324
Teacher spread0.292 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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