Characterization and analysis of the proposals submitted to the PET-Health Interprofessionality in Brazil: advancements and future directions
Bibliographic record
Abstract
The Program of Education through Work for Health (PET-Health), with a focus on interprofessionality, is one of the actions of the Plan for the Strengthening of Interprofessional Education in Brazil. This research aimed to systematically analyze the characteristics of the proposals submitted to the public notice of the PET-Health Interprofessionality specifically in relation to the theoretical-conceptual and methodological alignment of interprofessional education (IPE). The study is a qualitative document content analysis. We analyzed one hundred and twenty projects submitted to the selection process from institutions participating in the PET-Health Interprofessionality. Content analysis followed three steps: pre-analysis, exploration of the material, and treatment and interpretation of results. Seven categories were identified: a) alignment with the theoretical-conceptual frameworks of IPE, b) curriculum changes, c) faculty development with a focus on IPE, d) articulation among objectives, actions, and results expected related to IPE, e) strategies for monitoring and evaluation, f) involvement of users/families and community, and g) development of collaborative competencies. We conclude that while some advancements have been made, there remains a need for more in-depth discussion in Brazil to ensure the development of competencies capable of assuring more integral, resolute, and safer healthcare services, with capacity to (re)signify user-centered care in the planning and delivery of healthcare.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".