Addressing Social Context in Health Provider and Senior Communication Training: What Can We Learn From Communication Accommodation Theory?
Bibliographic record
Abstract
The ability to communicate enables people to share information, thoughts, and concerns with others in a certain time and place. Communication plays a fundamental role across a variety of institutions. However, the stakes are exceptionally high in primary health care (PHC). Poor communication in PHC increases the patient's risk of medication errors, patient injury, delay in treatment, and/or death. Effective communication is especially critical when health providers communicate with seniors because aging is partly responsible for physical, mental, and social/emotional changes. Studies have suggested that simulations are an effective means to train health providers in the development/enhanced communication skills; however, current educational programs focus on physical and cognitive aspects of aging. This editorial highlights possible contributions from the communication accommodation theory (CAT) to structure a communication training strategy that may help to improve healthcare providers' ability to converse and connect with the vulnerable older population and address their social and emotional well-being.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".