Ontario Pharmacists Practicing in Family Health Teams and the Patient-Centered Medical Home
Bibliographic record
Abstract
The patient-centered medical home (PCMH) approach continues to gather momentum in the United States and Canada as a broad approach to reform the delivery of the complete primary care system. The family health team (FHT) model implemented in Ontario, Canada, best mirrors the PCMH approach of the United States. The integration of pharmacists as key members of the health care team providing on-site, in-office coordinated care to FHT patients was included from the start of planning the FHT model and represents a substantial opportunity for pharmacists to realize their professional vision. Several research projects in Canada and elsewhere have contributed to providing evidence to support the integration of pharmacists into primary care practice sites. Two major research programs, the Seniors Medication Assessment Research Trial (SMART) cluster randomized controlled trial and the Integrating Family Medicine and Pharmacy to Advance Primary Care Therapeutics (IMPACT) multipronged demonstration project made substantial contributions to evidence-informed policy decisions supporting the integration of pharmacists into FHTs. These projects can provide useful information to support the integration of pharmacists into the PCMH and to encourage further research to better measure the effect of the pharmacist from the holistic patient-centered perspective.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".