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Record W4377148481 · doi:10.1080/14992027.2023.2211737

Pilot evaluation of a protocol and a clinical tool developed to assess the audiological needs of adults with hearing loss

2023· article· en· W4377148481 on OpenAlexaffabout
Mathieu Hotton, Loonan Chauvette, Jean‐Pierre Gagné

Bibliographic record

VenueInternational Journal of Audiology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité LavalUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsProtocol (science)Context (archaeology)Hearing lossAudiologyMedicineNeeds assessmentIntervention (counseling)PsychologyNursingAlternative medicine

Abstract

fetched live from OpenAlex

Objective: To evaluate the Québec Audiological Assessment Protocol for Younger and Older Adults (QAAP-YOA) and its accompanying clinical tool efficacy to assess the needs of individuals with hearing loss in a simulated context. This study is the Phase 2 in the development of the QAAP-YOA. Design: Participants completed two needs assessments with simulated clients and wrote audiological reports, while applying the QAAP-YOA with and without the use of its clinical tool. Interviews were filmed, and reports collected. Both were scored by two independent evaluators. A qualitative analysis of reports was also conducted. Study sample: Eleven audiology students and four early-career audiologists (n = 15). Results: The clinical tool did not influence the interview process since both experimental conditions had similar compliance rates to the protocol (p = 0.114). Compliance rates for assessment reports were higher with the clinical tool (p < 0.001). Participants’ conclusions after applying the QAAP-YOA were consistent across participants. The information provided in the reports was more comprehensive and coherent with the client’s needs when participants used the clinical tool. Conclusions: The QAAP-YOA can lead to a greater standardisation of needs assessments and to more comprehensive reports, which may lead to intervention programs more closely aligned with clients’ needs.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.288
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
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 head0.258
GPT teacher head0.470
Teacher spread0.213 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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