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Record W3163678889 · doi:10.1097/aud.0000000000001056

Be Part of the Conversation: Audiology Messaging During a Hearing Screening

2021· article· en· W3163678889 on OpenAlexafffund
Craig Richard St. Jean, Jacqueline Cummine, Gurjit Singh, William Hodgetts

Bibliographic record

VenueEar and Hearing · 2021
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsToronto Metropolitan UniversityUniversity of TorontoUniversity of Alberta
FundersUniversity of Alberta
KeywordsConversationAudiologyHearing lossPsychologyTest (biology)RehabilitationMedicineCommunication

Abstract

fetched live from OpenAlex

OBJECTIVES: The moment patients learn the results from a hearing assessment can be a critical juncture on their journey to rehabilitation. Message framing (e.g., the positive or negative manner in which information is presented) has been explored in a wide range of health contexts as a method for shaping patients' decision-making. This study investigated whether attitudes toward hearing loss treatment varied as a function of how messages about treatment were framed, and whether such attitudes differed as a function of participants being led to believe they had failed a hearing screening. METHODS: Sixty-four participants (18 to 39 years of age) took the Hearing in Noise Test. In the sound booth, participants saw a poster bearing either a gain-framed or loss-framed message about hearing loss treatment. During the test, half the participants were interrupted by the researcher who stated that their performance appeared to suggest a hearing loss, with the caveat that it might be due to an equipment malfunction. While the researcher investigated the problem, the participants completed an 11-item questionnaire asking about their attitudes toward help seeking for hearing loss. Participants in the control group completed the same questionnaire with no interruption. RESULTS: Statistical analyses revealed no significant interaction effect between message type and experimenter feedback condition, though a significant main effect was present for message type. Post hoc testing showed medium to large effect sizes as a function of message type on five of the 11-questionnaire items. These data indicated that participants were more likely to endorse health-positive responses (i.e., greater interest in hearing treatment) when exposed to the gain-framed message than the loss-framed message. CONCLUSIONS: The greater likelihood of health-positive responses in the presence of the gain-framed message suggests that this framing strategy may have a positive influence on attitudes toward hearing health behaviors among individuals under 40 years of age with no history of hearing loss.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.063
GPT teacher head0.284
Teacher spread0.221 · 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 designBench or experimental
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

Citations9
Published2021
Admission routes2
Has abstractyes

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