Toward core inter-professional health promotion competencies to address the non-communicable diseases and their risk factors through knowledge translation: Curriculum content assessment
Bibliographic record
Abstract
BACKGROUND: To increase the global impact of health promotion related to non-communicable diseases, health professionals need evidence-based core competencies in health assessment and lifestyle behavior change. Assessment of health promotion curricula by health professional programs is a first step. Such program assessment is a means of 1. demonstrating collective commitment across health professionals to prevent non-communicable diseases; 2. addressing the knowledge translation gap between what is known about non-communicable diseases and their risk factors consistent with 'best' practice; and, 3. establishing core health-based competencies in the entry-level curricula of established health professions. DISCUSSION: Consistent with the World Health Organization's definition of health (i.e., physical, emotional and social wellbeing) and the Ottawa Charter, health promotion competencies are those that support health rather than reduce signs and symptoms primarily. A process algorithm to guide the implementation of health promotion competencies by health professionals is described. The algorithm outlines steps from the initial assessment of a patient's/client's health and the indications for health behavior change, to the determination of whether that health professional assumes primary responsibility for implementing health behavior change interventions or refers the patient/client to others.An evidence-based template for assessment of the health promotion curriculum content of health professional education programs is outlined. It includes clinically-relevant behavior change theory; health assessment/examination tools; and health behavior change strategies/interventions that can be readily integrated into health professionals' practices. SUMMARY: Assessment of the curricula in health professional education programs with respect to health promotion competencies is a compelling and potentially cost-effective initial means of preventing and reversing non-communicable diseases. Learning evidence-based health promotion competencies within an inter-professional context would help students maximize use of non-pharmacologic/non-surgical approaches and the contribution of each member of the health team. Such a unified approach would lead patients/clients to expect their health professionals to assess their health and lifestyle practices, and empower and support them in achieving lifelong health. Benefits of such curriculum assessment include a basis for reflection and discussion within and across health professional programs that could impact the epidemic of non-communicable diseases globally, through inter-professional education and evidence-based practice related to health promotion.
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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 | 0.018 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".