Exploring the Role and Potential of a Primary Care Physician Assistant (PA) Focusing on Women’s Health: A Canadian-Based Practice Reflection
Bibliographic record
Abstract
Abstract Introduction: Physician assistants (PAs) are highly educated medical generalists who extend physician services to help provide preventative, reproductive, obstetrical/gynecological, and acute/chronic care across the lifespan within a family medicine setting. Canadian literature is currently lacking studies highlighting the utility, practice scope, and overall efficiency of primary care PAs focusing on women’s healthcare. Established PAs in women’s healthcare in the Netherlands and United States (US) can serve as a model for women’s health advancement in Canada. Objectives: The primary aim was to determine and observe the utilization, practice scope, and efficiency of a single primary care PA concentrating on women’s healthcare in an urban family medicine setting. Our analysis involved determining type, length and number of services, follow-up plans, number and type of referrals, and total appointment time including education. The secondary aim was to compare Dutch and American women’s health PAs with Canadian PAs, specifically in terms of utility, scope, and capacity. Methods: In this observational reflective analysis, the PA collected non-demographic, non-identifying patient information about women’s health visits over 80 days to define daily clinical duties through quantitative measures. Data was collected on Excel by the PA and stored on a locked computer in the clinic. Results: The PA extended physician capacity by providing 350 additional services across diverse categories to 306 unique patients over 80 days. Preventative care services comprised the most significant volume of services provided (22.6%), followed by acute care (22.0%), reproductive care (21.4%), chronic care (19.1%), and other care (14.9%). Fertility, menopause, breast health, and breastfeeding were low-volume services. Dutch and American PAs have greater autonomy and utility in women’s health compared to our Canadian PA. Conclusion: This study explored the utilization, practice scope, and efficiency of a primary care PA concentrating on women’s health by tracking patient volume, services (preventative, acute, reproductive, chronic, and other care), education time, and referrals over 80 days. Women’s health PAs are essential for optimizing access to care due to their diverse practice scope and unique roles. Adopting international women’s health PA models for practice in Canada would be invaluable to women’s healthcare access.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".