Building bridges: The integral presence of audiologists and speech-language pathologists in comprehensive interprofessional primary care teams
Bibliographic record
Abstract
AIM: This article provides an overview of the professional roles of audiologists and speech-language pathologists (S-LPs) in interprofessional primary care. BACKGROUND: Current published literature considering primary care delivery within comprehensive interprofessional teams contains little representation of professionals from the fields of audiology and speech-language pathology. METHODS: An illustrative case scenario highlights the key roles of audiologists and S-LPs in primary care, and how collaborative relationships within an interprofessional primary care team structure can enhance the overall quality of care provided to patients and to their families. FINDINGS: As experts in the prevention, diagnosis, and rehabilitation of communication disorders, with S-LPs supporting speech and swallowing disorders and audiologists supporting hearing and vestibular disorders, S-LPs and audiologists are well-positioned to support meaningful participation in primary care across the lifespan and in collaboration with different healthcare professionals, including patients experiencing cognitive decline.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.001 | 0.008 |
| 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".