Using the Awareness, Motivation, Skills, and Opportunity Framework for Health Promotion in a Primary Care Network
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose. To use the Awareness, Motivation, Skills, and Opportunity (AMSO) framework as a foundation for service delivery in a primary care network (PCN). Method. The AMSO framework (awareness, motivation, skills, opportunity) was integrated into PCN program design: Health Basics (8 weeks with monthly follow-up) focused on healthy living and Happiness Basics (6 weeks) used positive psychology. Evaluation included quality of life (QofL) and participant experience; weight, body mass index, and waist circumference were included for Health Basics. Data were analyzed using descriptive statistics, paired t tests, and thematic analysis. Setting. PCN in western Canada with midsized urban center and surrounding areas. Participants. Health Basics—adults with or at risk for chronic disease (n = 103). Happiness Basics—adults with depression, languishing, or flourishing (n = 124). Results. Changes were evident in weight loss, body mass index, waist circumference, and QofL (p < .05) for Health Basics participants. The participants also reported being more active, eating healthier, having a more positive mind-set, and having confidence in making lifestyle changes. Happiness Basics participants’ QofL improved in all domains (p < .05) except the physical summary score (p = .079). Happiness participants described positive experiences and learned new skills. Conclusion. The AMSO framework was successfully implemented in our PCN. Recommendations are included to improve program effectiveness and use.
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.
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 | 0.013 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it