Do Non-Rotational Ambulance-Based Placements Affect the Development of Paramedic Competencies from a Student Perspective? A Qualitative Study
Bibliographic record
Abstract
Introduction University-led higher education for paramedics has been in place for over 20 years, with students in these programs required to complete supervised clinical placements with an experienced paramedic mentor. This investigation aims to establish whether the non-rotation of paramedic students between paramedic mentors while on ambulance-based placements aids or hinders the undergraduate paramedic student's development of competencies. Methods Purposive and convenience sampling methods were used, with semi-structured group interviews conducted with second year undergraduate paramedic students for data collection. Thematic analysis was used to draw meaning from the collected data. Results Five key themes emerged from within the data. Students reported difficulties in maintaining relationships with their assigned mentors, particularly in situations where conflicting schedules and role changes necessitated frequent rotation between mentors. Students reported feeling there was great variety in the way competency-based learning is managed by paramedic mentors, leading to inconsistencies in assessment. Students also described comparing their own personality and clinical practice against mentors, in order to self-identify more appropriate mentors during the placements. Conclusion This research provides an initial insight into how paramedic students perceive the effects of non-rotational ambulance-based placements on the development of competencies. Based on the findings of this research it is not possible to draw firm conclusions as to whether the non-rotation of ambulance-based placements aids or hinders undergraduate student paramedics’ development of competencies. Further research is required in this area across a variety of settings in order to understand the applicability of these results.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".