The Applicability of Interprofessional Education for Collaborative People-centered Practice and Care to Health Plans and Workforce Issues: A Thematic Global Case Review
Bibliographic record
Abstract
Background: This article focuses on a growing, global recognition of the importance of the field of interprofessional education for person-centered collaborative practice (IPECP) expressed through high-level policy and accreditation decisions/actions taking place in 5 countries. Policy decisions are used to motivate strategies related to IPECP that align with national health plans, and workforce issues. Methods: Using a collective of representative stories from around the globe, a grouping of case studies were developed to illustrate different approaches and challenges to IPECP implementation. Results: Institutions from countries of various income levels face many similar challenges in the execution, delivery, and sustainability of IPECP. All programs face issues of financing, of preparing faculty, of developing and organizing curricula, and of bridging between campus and community. Discussion: Policies are being developed that promote a global approach to the inclusion of IPECP in the accreditation and regulation of postsecondary institutions and health service organizations, in keeping with WHO National Health Workforce Accounts. Policies developed promote and demonstrate the benefits of IPECP through remote emergency learning methods. The policies also build national systems for IPECP as an integral part of continuing professional development and lifelong learning. The organization of interprofessional research programs and the increasing publication of their results of such programs will lead to a clearer understanding of the efficacy of the field of IPECP. To ensure sustainability, stakeholders and policymakers should continue to foster policies that facilitate IPECP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".