Fit to targets, preferred listening levels, and self-reported outcomes for the DSL v5.0a hearing aid prescription for adults
Bibliographic record
Abstract
Study objective: This study evaluated how closely the DSL v5.0a prescription could be approximated with hearing aids, its relationship to preferred listening levels (PLLs) of adults with acquired hearing loss, and the self-reported outcomes of the resulting fittings. Participants: Thirty adults with varying degrees and configurations of hearing loss ranging from mild to severe. Methods: Hearing aid output was measured after the initial fitting to DSL v5.0a targets and after determination of the PLL after approximately 90 days. The Client Oriented Scale of Improvement (COSI) was used to evaluate outcome. Results: The 95% confidence interval of fits to target ranged from 5.8 to 8.4 dB across frequency. The DSL v5.0a adult algorithm approximated the PLLs of the participants within 2.6 dB on average. Hearing aid fittings provided positive subjective outcome improvements on the COSI. Conclusions: Findings suggest that the use of DSL v5.0a for the fitting of hearing aids on adults with acquired hearing loss was feasible and provided an appropriate initial fitting.SumarioObjetivo del estudio: Este estudio evaluó qué tanto puede satisfacer una prescripción DSL v5.0a con auxiliares auditivos, su relación con los niveles preferidos de escucha (PLLs) en adultos con pérdida auditiva adquirida y los resultados de los auto reportes de las adaptaciones resultantes. Participantes: Treinta adultos con variados grados y configuraciones de pérdidas auditivas, entre leves y severas. Métodos: Se midió la salida del auxiliar auditivo después de la adaptación por metas DSL v5.0a y después de determinar los PLL, al cumplirse aproximadamente 90 días. Para evaluar los resultados, se usó la Escala de Mejoría Orientada hacia el Cliente (COSI). Resultados: 95% de intervalo de confianza de adaptaciones relacionadas con blancos, entre 5.8 a 8.4 dB en todas las frecuencias. El algoritmo en adultos del DSL v5.0a se aproximó a los PLLs de los participantes en un promedio de 2.6 dB. Las adaptaciones de auxiliares auditivos dieron resultados subjetivos positivos con el COSI. Conclusiones: los hallazgos sugieren que el uso de DSL v5.0a para la adaptación de auxiliares auditivos en adultos con pérdidas auditivas adquiridas fue factible y permitió una adaptación inicial apropiada.
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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 | 0.000 | 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) | 0.001 | 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 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".