Inter-provincial variation and determinants of access to team-based primary care in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Team-based care involves family physicians working with other health professionals to provide primary care to patients. It has been implemented across Canada; however, its adoption varies, as health care delivery is the responsibility of provincial governments and not the federal government. Objective: To examine variations in the composition of team-based primary care amongst Canadian provinces in 2008 and identify patient characteristics that may have predicted access. Methods: Data are from the 2008 Canadian Survey of Experiences with Primary Health Care, a national survey of patients’ experiences with primary care in Canada. The sample size available for analysis was 11,521 and the response rate was 70.8%. Team-based care was defined as a family physician working with either a nurse or another type of health provider. Logistic regression was used to examine determinants of access to team-based care, adjusting for demographic, health status, and socioeconomic variables. Results: In 2008, 37.1% of Canadians reported having access to team-based care. The composition of team-based care varied amongst provinces and the most common model in all provinces were family physician plus nurse-only teams except in Quebec and Manitoba. Statistically significant predictors of access to team-based care were province of residence and total number of chronic conditions. Conclusion: With continuity of primary care reform in Canada, a new national survey is needed. Future assessments should aim to increase accuracy in the definition of team-based care through improvements in survey question design and patient education.
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.
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) | 0.000 | 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 | 0.001 |
| 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 it