Integration of a primary healthcare pharmacist
Bibliographic record
Abstract
Lynette Kolodziejak*a, Alfred Rémillardb & Shannan Neubauerca Pharmacy Department, Pasqua Hospital, Regina Qu'Appelle Health Region, Reginab College of Pharmacy & Nutrition and Associate Member of the Department of Psychiatry, College of Medicine, University of Saskatchewanc College of Pharmacy & Nutrition, University of Saskatchewan and Pharmacy Practice Team Leader, Yorkton Regional Health Centre – Sunrise Health Region, Yorkton, Saskatchewan, CanadaCorrespondence: Lynette Kolodziejak, BSP, MSc (Pharm), Pharmacist Development Specialist, Pharmacy Department, Pasqua Hospital, Regina Qu'Appelle Health Region, 4101 Dewdney Avenue, Regina, SK S4T 1A5, Canada. Tel: +1 306 766 2388. Fax: +1 306 766 2405. E-mail: lynette.kolodziejak@rqhealth.caPharmacists have been encouraged to enhance their role on primary healthcare teams; but, the profession has yet to be involved to the degree in which a substantial impact can be made. The objective of this study was to provide guidance on how to integrate a pharmacist into an already established primary healthcare team. Using action research, a panel of established primary healthcare pharmacists identified clinical activities for a primary healthcare pharmacist tailored for the project site. The results were presented to the primary healthcare team, who then collaborated with the pharmacist and researchers to define the role of the pharmacist. Once an agreement was reached, a pharmacist provided eight weeks of full-time clinical services. Upon completion, focus groups were used to evaluate the pharmacist's clinical services. The focus group data, along with the pharmacist's suggestions, formed a step-wise guide for integration. The template consists of eight steps which highlight the importance of selecting a collaborative process and team, defining the role of the pharmacist, determining the logistics of providing care, establishing credibility, re-evaluating the role as it evolves, and obtaining patient feedback. Pharmacists desiring to be involved in primary healthcare teams can follow this template to assist them with integration.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".