Evaluating the implementation of health coaching in a rural setting
Bibliographic record
Abstract
Objective: The aim of this project was to explore the barriers and enablers to implementation of staff training in Health Coaching, a model of care employed in primary care to facilitate client self management of chronic disease.Methods: Forty six staff from five rural community health settings were recruited to undertake training in Health Coaching. A simple post training quantitative evaluation was conducted by surveying staff five months post training. Results: There was a 68% response rate to the surveys. Only 50% of staff trained in Health Coaching reported implementing it into practice. Enabling factors to implementing the training were reported as peer and organisational support.Conclusion: Effective models of self management in chronic disease should not be aimed at staff training alone. This study suggests that implementation of new models of care requires a significant change in clinician practice which is not readily embraced by staff. Key words: chronic disease, early intervention, self management, staff training, training implementation.
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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 | 0.003 | 0.000 |
| 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 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".