Planning and implementing a collaborative clinical placement for medical, nursing and allied health students: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Clinical placements have been traditionally offered on a profession specific basis, and as a result, we have a good understanding of salient issues related to their development and delivery. We know less about the planning and implementation of collaborative clinical placements. AIMS: This paper presents key findings from a qualitative study that explored the collaborative processes connected to an interprofessional planning group who created and implemented a clinical placement for medical, nursing and allied health students. METHODS: An ethnographic approach was employed to explore the successes and challenges connected with the planning group's interprofessional work. Interviews, observations and documents were gathered over two years to obtain a comprehensive understanding of this placement. RESULTS: The study found that while the planning group achieved a number of successes in their work including the implementation of a well-received pilot placement, their enthusiasm for the placement created a number of challenges. In particular, it resulted in them neglecting their roles, responsibilities and collaborative group processes, which created difficulties in their ability to work together. In addition, a turnover of members, changes in management and a hospital reorganization inhibited the group's collaborative work. CONCLUSIONS: Collaboration around the planning and implementation of interprofessional placements is a complex venture. In striving for success in this work, planning groups need to focus their attention on both internal group-based factors as well external organizational factors.
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How this classification was reachedexpand
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 | 0.011 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".