Evolving global responses to the pandemic: sustaining interprofessional education and collaborative practice
Bibliographic record
Abstract
The COVID-19 pandemic created global disruption in health professions education and healthcare practice, necessitating an abrupt move to digital delivery. A longitudinal survey was conducted to track the evolution of global responses to the pandemic. During the initial stages, educational and health institutions were forced to adapt quickly without careful consideration of optimal pedagogy, practices, and effectiveness of implemented approaches. In this paper, we report the results of Phase 3 of the global survey that was distributed between November 2021 and February 2022 through InterprofessionalResearch.Global (IPR.Global). The Phase 3 qualitative survey received 27 responses, representing 25 institutions from 13 countries in 6 regions. Using inductive thematic analysis, the data analysis resulted in three emerging themes: Impact of the pandemic on the delivery of interprofessional education and collaborative practice (IPECP); Impact of the pandemic on the healthcare system (team, population/client health, clients); and Sustainability and innovation. This study highlights the evolving nature of health education and collaborative practices in response to the COVID-19 pandemic. IPECP educators need to be resilient and deal with the complexities of face-to-face and digital learning delivery. Preparing for emerging forms of teamwork is essential for new work contexts and optimal health services.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".