Real-time virtual supports improving health equity and access in British Columbia
Bibliographic record
Abstract
In British Columbia (BC) and across the territories of over 200 First Nations and 39 Métis Nation Chartered communities, the COVID-19 pandemic catalyzed a group of partner organizations to rapidly establish seven virtual care pathways under the Real-Time Virtual Support (RTVS) network. They aimed to address inequitable access and multiple barriers to healthcare faced by rural, remote, and Indigenous communities, and provide pan-provincial services. Mixed-method evaluation assessed implementation, patient and provider experience, quality improvement, cultural safety, and sustainability. Pathways supported 38,905 patient encounters and offered 29,544 hours of peer-to-peer support from April 2020 to March 2021. Mean monthly encounter growth was 178.0% (standard deviation = 252.1%). Ninety percent of patients were satisfied with the care experience; 94% of providers enjoyed delivering virtual care. Consistent growth suggests that the virtual pathways met the needs of providers and patients in rural, remote, and Indigenous communities, and supported virtual access to care in BC.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".