The modified medical office assistant role in rural diabetes care.
Bibliographic record
Abstract
INTRODUCTION: Diabetes care in Canada is usually provided in family practice offices, which may not have nurses to provide planned, proactive care as recommended by guidelines. The use of medical office assistants (MOAs) to do key tasks in diabetes care may improve the effectiveness of care and reduce costs. We sought to determine whether an expanded MOA role in a rural practice was beneficial to patients and the practice. METHODS: We systematically evaluated the provision of diabetes care as measured by key indicators, patient and provider satisfaction, and use of health care services. RESULTS: Involvement by MOAs improved adherence to selected aspects of guideline-based care, and patient and provider satisfaction was high. The actual outcomes of the surrogate markers measured in care and downstream use of acute care services appeared to be unchanged during this study. CONCLUSION: Use of MOAs to help provide team-based diabetes care in family practice resulted in improved performance of key indicators for diabetes care.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".