Towards Unity for Health: Lessons for Health Development in Canada
Bibliographic record
Abstract
INTRODUCTION: The Sherbrooke-Estrie integrated cardiovascular health program (SEICHP) was developed in the Canadian province of Quebec. It was among the 12 field projects selected in 2001 around the world by the World Health Organization (WHO) to implement the TUFH (Towards Unity for Health) strategy as a way to improve health development responding to people's needs through integration of health services and partnership among key stakeholders. SEICHP tailored and applied the TUFH approach. It developed comprehensive and integrated services for people suffering or being at risk of cardiovascular problems in its region of influence. It emphasized complementarity, efficiency of resource use, interprofessional collaboration and partnership. In this, SEICHP complied with TUFH criteria. Information on how it adapted and applied these with relative success is reported. LESSONS FOR HEALTH DEVELOPMENT: Even though difficulties in evaluation represent a limitation, major lessons learned linked to TUFH criteria include: the necessity to involve the public health and individual health people at all phases of program development and implementation, including the identification of information to be collected; an emphasis on integration brings health professionals to realize the importance of interdisciplinary work and academic institutions to modify their educational programs; restraining and supporting factors to partnership must be considered purposefully to optimize the partnership process; and optimal assessment of impact is difficult to attain. CONCLUSION: TUFH gave SEICHP a comprehensive conceptual framework for health development to work with. It had a highly significant impact on its development and provides direction for its future actions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".