The Fountain of Health: effective health promotion knowledge transfer in individual primary care and group community-based formats
Bibliographic record
Abstract
ABSTRACTBackground:The Fountain of Health (FoH) initiative is a knowledge transfer (KT) project on the science of brain health and resilience promotion, in alignment with positive psychiatry. OBJECTIVES: Assess the effectiveness of FoH KT delivered in individual and group-based formats. DESIGN: Pre- and post-intervention quality assurance survey of FoH KT. SETTING: Interventions occurred in Nova Scotia, Canada. PARTICIPANTS: Adults over age 50 years without pre-existing dementia were targeted. A total of 92 participants received FoH KT in individualized (n = 41) and group-based (n = 51) formats. INTERVENTION: FoH KT (e.g. sharing evidence, lifestyle coaching, and goal setting) using a range of KT supports (e.g. FoH website, paper materials) was delivered to (1) individual patients by primary care clinicians and (2) community-based groups by lay leaders. MEASUREMENTS: The main outcome measure was participant pre- and post-quality assurance self-reports. RESULTS: Improvements were found in participant awareness of FoH, knowledge of evidence-based mental health promotion initiatives, and in application of this information in daily life in both individual and group-based settings. Improvements in participant knowledge about epigenetic factors that impact health and confidence with health behavior goal setting were reported in both contexts. Changes in self-perceptions of aging scores reached significance in the group intervention. CONCLUSIONS: FoH KT produced short-term positive self-reported changes in participants in both individual and group formats. Larger control studies with long-term follow up are needed to better assess effects of both individual and group formats of FoH KT and longer term impacts on health behaviors and outcomes.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".