The BRIDGE Community Consultation Project: building rural interprofessional discussions and group experiences
Bibliographic record
Abstract
INTRODUCTION: Interprofessional (IP) community-oriented health education is an important strategy for achieving high quality health care. The purpose of this project was to develop collaborative partnerships between rural communities and Thompson Rivers University, Canada, to identify the needs and priorities for building capacity for IP placements in two rural communities in the Interior of BC. METHODS: The project developed and implemented a Community-Based Participatory Action Research (CBPAR) workshop for rural health practitioners to strengthen collaborative partnerships. Focused group discussions were used to explore the needs and priorities for inter-professional placements, and to better understand the nature of IP practice in each community. Documentation and relevant academic literature was reviewed on IP practice and education, rural practice, and field education. RESULTS: The project identified the needs, priorities and challenges for IP placements, and successfully developed collaborative partnerships between rural communities and the university. Discussions revealed that allied health professionals were interested in facilitating IP placements but cited the lack of financial resources, accommodation in rural communities, and financial incentives for student transportation as concerns. The project revealed that rural health practitioners view IP placements as an avenue to address their recruitment and retention challenges. CONCLUSION: Coordination of potential IP education opportunities proved to be more difficult than anticipated. Time was a factor, coordination of student timetables in social work, nursing and human service was challenging, and there was a lack of support and commitment from decision-makers and stakeholders at all levels.
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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 | 0.015 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".