Family physician perspectives on primary care reform priorities: a cross-sectional survey
Bibliographic record
Abstract
BACKGROUND: The province of British Columbia is facing a family physician shortage despite consistent increases in the number of physicians per capita and ongoing reforms to address the shortage. We identify physicians' priorities for structural reform, describe the alignment of those priorities with BC's suite of reforms and compare responses between established physicians and those new to practice; we also assessed rates of burnout. METHODS: tests and multivariable logistic regression to investigate associations between personal and practice characteristics, burnout and reform priorities. RESULTS: Of the 1017 family physicians invited to participate, 525 (51.6%) responded. Of these, 399 (76.0%) indicated a need for fundamental change to how primary care is delivered; 244 (46.4%) would prefer to be a clinic employee rather than a small business owner. Other reform priorities included options to practise in a team (stated as very important by 69.6% of respondents), direct funding for team roles (66.7%), direct clinic funding (59.8%), part-time work options (64.7%), and ability to take planned vacations and parental leave (81.1%). The importance of individual reform priorities varied based on the participants' model of practice, location and years in practice. Of respondents, 108 (21.1%) had experienced a high level of burnout. INTERPRETATION: Almost half of family physicians would prefer to be employees rather than small business owners and over 20% reported a high level of burnout. Practice models offering direct employment model have very limited availability and are not included in the current suite of reforms in BC, potentially pulling physicians away from community-based family medicine and into other models or specialties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".