Physicians’ experiences delivering provincial real-time virtual support services: A qualitative interview study
Bibliographic record
Abstract
Rural, remote, and Indigenous communities in British Columbia (BC) tend to have lower access to healthcare providers and poorer health outcomes-an inequality that the COVID-19 pandemic has exacerbated. In response, Real-Time Virtual Support (RTVS) pathways were developed to advance equitable access to care for patients and provide peer support to physicians working in underserved communities. This study aimed to describe the perspectives of Virtual Physicians (VPs) who delivered the RTVS services. Forty-five RTVS VPs engaged in 30-minute semi-structured interviews about their experiences and perspectives delivering RTVS. Three themes emerged: (1) RTVS's contributions to VPs' personal and professional development; (2) impacts on communities; and (3) considerations for the availability and expansion. VPs identified incremental expansion and attaining funding stability as critical next steps for virtual healthcare in BC. This evidence informed RTVS program evaluation and may provide learnings relevant to other jurisdictions.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".