Making Health Promotion Evidenced-Informed
Bibliographic record
Abstract
This large urban health unit identified a need for explicit, strategic, long-term organizational priority toward practical application of evidence in health promotion practice. Becoming a Best Practice Spotlight Organization (BPSO®) candidate provided an opportunity to systematically implement this commitment. The primary goals were to support incorporation of evidence-informed practice throughout the organization, increase interprofessional collaboration, and provide opportunities for knowledge exchange for staff. A mixed-methods evaluation consisting of three phases, including an analysis of previous evaluations, a survey of Champions, and an online focus group with the Steering Committee, demonstrated very positive outcomes. Staff reported increased incorporation of evidence in practice and program delivery. Collaboration and consultation amongst interdisciplinary staff across program areas also increased and staff responded very positively to increased opportunities for knowledge exchange. BPSO® candidacy opportunities should be used by health organizations to increase evidence-informed practice and inspire excellence in health promotion practice.
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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 | 0.040 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".