Promoting Health Behavior Change in Canada: A Quality Improvement Project Integrating Prevention and Wellness in Frontline Care
Bibliographic record
Abstract
Background: The critical need for Health Behaviour Change (HBC) for preventative care has been highlighted by the COVID-19 pandemic. This quality improvement project assessed the effectiveness and acceptability of Fountain of Health HBC tools as a minimal intervention for primary and secondary prevention among Canadian clinicians and their patients. Methods: Clinicians received HBC education and tools (paper tools and app-based) to assist their patients in setting a S.M.A.R.T (Specific, Measurable, Action-oriented, Realistic, Time-limited) goal at baseline and assessed four weeks later. Primary outcome measures were: 1) patient self-report of success at goal attainment; 2) patient self-reported evaluation of change in well-being and health attitudes; and 3) clinician experience and engagement. Results: A total of 2184 clinicians received HBC education. Of these, 759 clinicians registered to participate in the project. 961 patients set S.M.A.R.T. HBC goals using either the paper tools (PT) or the app format. Patient data revealed nearly all patients (89% of PT users and 90% of app users) at least partially succeeded in attaining their goal at a four-week follow-up. Most patients (85% of PT and 80% of app users) also reported improvement in their well-being. A significant difference in health beliefs and attitudes was found in both PT (p < 0.001) and app users (p = 0.003). Conclusions: HBC is challenging. Educating and providing clinicians with HBC tools as a minimal intervention was found to be a successful health prevention strategy to improve patient well-being and health attitudes, and achieve S.M.A.R.T. goals. Results show HBC tools, education, and support for clinicians are both acceptable and effective for HBC in frontline care. These findings are relevant and timely given greater reliance on virtual care in the wake of the COVID-19 pandemic. Further research with rigorous methodology is needed to implement programs to achieve sustainable HBC to promote health on a large scale.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".