Telepsychiatry and patient–provider concordance
Bibliographic record
Abstract
CONTEXT: Telepsychiatry has become a common modality for the provision of psychiatric consultations to patients in rural regions. AIMS: The aims of this study were to assess and compare patient and provider satisfaction and perceptions of access to care with telepsychiatry. METHODS: Telepsychiatric consultations were given by providers based on an urban tertiary academic health centre to patients located in rural primary care clinics. RESULTS: Patients (n = 110) and providers (n = 10) were both highly satisfied with telepsychiatry and both believed that telepsychiatry provided patients with better access to care. Paired patient and provider survey results demonstrated a high level of concordance between patients and provider responses. CONCLUSIONS: Concordance between patient and provider satisfaction may contribute to adherence and positive treatment outcomes. These results provide support for the use of telepsychiatry consultations to improve patient access to psychiatric care in rural regions.
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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 | 0.000 | 0.000 |
| 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 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".