A survey of the attitudes of practitioners toward teleaudiology
Bibliographic record
Abstract
Gurjit Singh*abc, M. Kathleen Pichora-Fullercde, Marissa Malkowskic, Michael Boretzkia & Stefan Launeraa *Phonak AG, Stäfa, Switzerlandb Department of Speech-Language Pathology, University of Toronto, Canadac Toronto Rehabilitation Institute – University Health Network, Toronto, Canadad Department of Psychology, University of Toronto Mississauga, Mississauga, Canadae Swedish Institute for Disability Research, Linköping University, Linköping, SwedenCorrespondence: Gurjit Singh, Department of Speech-Language Pathology, University of Toronto, 500 University Ave, 10th Floor, Toronto, Ontario, M5G 1V7, Canada. E-mail: g.singh@utoronto.caAbstractObjective: To survey hearing healthcare practitioners’ (1) attitudes toward teleaudiology appointments, (2) willingness to conduct different clinical tasks via teleaudiology, and (3) willingness to conduct a teleaudiology appointment with different patient populations. Design: All participants were asked to complete the Attitudes toward Teleaudiology Scale for Practitioners (ATS-P), a 46-item online survey designed for this study. Study sample: The responses from 202 hearing healthcare practitioners working in Canada were collected. The sample consisted of 152 audiologists, 49 hearing instrument specialists, and one who did not specify a category. Results: The majority of respondents indicated that teleaudiology is likely to have a minimal effect on the quality of hearing healthcare in audiology and the quality of client-practitioner interactions, although many respondents indicated that teleaudiology would have a positive effect on accessibility to service. Nevertheless, a small minority of respondents indicated that teleaudiology would have a negative impact on quality of care in audiology. Conclusions: Willingness to use teleaudiology depended on a combination of the clinical tasks to be performed and the patient populations to be served. These findings can help guide the successful implementation of teleaudiology services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".