Pharmacist trainees narrow scope of interprofessional collaboration and communication in hospital practice
Bibliographic record
Abstract
Early curricular exposure to interprofessional education (IPE) is intended to acclimatize health professional trainees to shared-care in the practice settings they will ultimately join. However, IPE activities typically reside outside actual organizational and social systems in which interprofessional care is delivered. We aimed to explore how pharmacist trainees experience collaborator and communicator competency roles during team-based workplace-based learning. Participants maintained written diaries reflecting on interprofessional collaboration and communication during an eight-week hospital clerkship. Diary entries and transcripts from semi-structured follow-up interviews were analyzed from the social constructivist perspective using reflective thematic analysis. Participant accounts of on-ward activities represented most collaborator and communicator roles outlined in pharmacy and interprofessional competency frameworks, but were predominantly between the pharmacist trainee and physicians. Pharmacist trainees did not routinely engage with other health professions on a daily basis. Additionally, reported encounters with other team members were typically information exchanges and not episodes of authentic interdependent or shared care. Interactions were almost completely devoid of perceived interpersonal or role conflict. These findings offer insight into how pharmacist trainees perceive and develop competencies for team-based care. Further work is required to understand how such limited scope of interprofessional communication and collaboration might ultimately impair quality patient care.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".