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Record W3203339368 · doi:10.1097/aud.0000000000001130

Descriptions of Hearing Aids Influence the Experience of Listening to Hearing Aids

2021· article· en· W3203339368 on OpenAlexaff
Lori Rakita, Huiwen Goy, Gurjit Singh

Bibliographic record

VenueEar and Hearing · 2021
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsActive listeningAudiologyHearing aidNarrativePsychologyPersonalityHearing lossAffect (linguistics)Clinical psychologyMedicineSocial psychologyPsychotherapistLinguisticsCommunication

Abstract

fetched live from OpenAlex

OBJECTIVES: Experiences can be strongly influenced by expectations. In hearing healthcare, previous studies have shown that descriptions of hearing aids or contextual factors during the hearing aid fitting process can change subjective and even objective outcomes with hearing aids via the placebo effect. Personality factors have also been shown to affect susceptibility to placebo effects. The purposes of the present study were to (a) investigate the effects of communicating narratives designed to foster positive, negative, or neutral expectations about hearing aids on short-term patient outcomes, and (b) to determine if the degree to which the narratives affected end-user outcomes could be predicted by personality factors. DESIGN: Nineteen adults between the ages of 54 and 81 (mean age = 68.5, SD = 8.9) had 3 separate research appointments, each exposing them to a different narrative condition: positive, negative, or neutral. the appointment was designed to look and feel like a "traditional" hearing aid fitting appointment, during which the experimenter introduced (i.e., the narrative condition) and fit a pair of hearing aids, the participant was asked to provide their initial feedback about the hearing aids, and the participant performed speech-in-noise testing. Unbeknownst to the research participant, the hearing aids fitted at all three appointments were the same, and the only difference between the three appointments was the way the hearing aids were described to the participants. RESULTS: The results of this study showed that communication of a positive narrative about hearing aids before a hearing aid fitting led to better speech-in-noise performance on the QuickSIN as compared with performance following the negative or neutral narrative conditions. Also, the positive narrative led to the perception that acclimatization to the hearing aids would occur faster than the negative or neutral narrative conditions. Notably, the effect of communication of a positive narrative was stronger for individuals who scored higher on agreeableness, and susceptibility to positive and negative messaging was stronger for individuals low in neuroticism. CONCLUSIONS: The study suggests that short-term evaluations of hearing aids can be strongly influenced by narratives as provided by the hearing healthcare provider at the time of a hearing aid fitting.

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)0.003
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.057
GPT teacher head0.302
Teacher spread0.245 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

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