Health coaching in primary care: a feasibility model for diabetes care
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
BACKGROUND: Health coaching is a new intervention offering a one-on-one focused self-management support program. This study implemented a health coaching pilot in primary care clinics in Eastern Ontario, Canada to evaluate the feasibility and acceptability of integrating health coaching into primary care for patients who were either at risk for or diagnosed with diabetes. METHODS: We implemented health coaching in three primary care practices. Patients with diabetes were offered six months of support from their health coach, including an initial face-to-face meeting and follow-up by email, telephone, or face-to-face according to patient preference. Feasibility was assessed through provider focus groups and qualitative data analysis methods. RESULTS: All three sites were able to implement the program. A number of themes emerged from the focus groups, including the importance of physician buy-in, wide variation in understanding and implementing of the health coach role, the significant impact of different systems of team communication, and the significant effect of organizational structure and patient readiness on Health coaches' capacity to perform their role. CONCLUSIONS: It is feasible to implement health coaching as an integrated program within small primary care clinics in Canada without adding additional resources into the daily practice. Practices should review their organizational and communication processes to ensure optimal support for health coaches if considering implementing this intervention.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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