Assessing self-reported measures of voice disability in tracheoesophageal speakers.
Bibliographic record
Abstract
OBJECTIVE: current instruments for evaluating quality of life in individuals treated for head and neck cancer often contain a speech-related item; however, none provide a dedicated measure of self-perceived voice-related quality of life. Therefore, this study sought to assess the utility of the Voice-Related Quality of Life (V-RQOL) instrument in a group of individuals who use tracheoesophageal (TE) speech following total laryngectomy for laryngeal cancer. DESIGN: this exploratory, retrospective study accessed individuals who used TE speech as their primary mode of communication. SETTING: Data were collected at a university centre. METHODS: fifteen male and 15 female TE speakers were age matched (± 3 years) and their V-RQOL scores were evaluated. MAIN OUTCOME MEASURES: the self-report V-RQOL was employed to evaluate participants' perceptions of their voice-related quality of life. The V-RQOL yields two subscales, social-emotional functioning and physical functioning, as well as a total score. RESULTS: analyses revealed no statistically significant differences across gender, thus permitting descriptive evaluation of group data. Data suggest that varied degrees of voice-related disability exist for both physical and social-emotional functioning, with participants generally reporting better social-emotional scores. CONCLUSIONS: based on these preliminary data, the V-RQOL may offer an easy and time-efficient clinical measure of postlaryngectomy voice disability for alaryngeal speakers. These findings suggest that the V-RQOL may be used with this clinical population and may serve to identify voice-related deficits that can be targeted for intervention as part of a patient's postlaryngectomy rehabilitation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".