The Quebec Respiratory Health Education Network: Integrating a model of self-management education in COPD primary care
Bibliographic record
Abstract
The objective of this study is to evaluate whether a chronic obstructive pulmonary disease (COPD) self-management education program with coaching of a case manager improves patient-related outcomes and leads to practice changes in primary care. COPD patients from six family medicine clinics (FMCs) participated in a 1-year educational program offered by trained case managers who focused on treatment adherence, inhaler techniques, smoking cessation, and the use of an action plan for exacerbations. Health-care utilization, health-related quality of life (HRQL), treatment adherence, inhaler technique, and COPD knowledge were assessed at each visit with validated questionnaires. We also evaluated whether the use of spirometry and the assessment of individual patient needs led to a more COPD-targeted treatment by primary care physicians, based on changes in prescriptions for COPD (medication, immunization, and written action plan). Fifty-four patients completed the follow-up visits and were included in the analysis. The number of unscheduled physician visits went from 40 the year before intervention to 17 after 1 year of educational intervention ( p = 0.033). Emergency room visits went from five to two and hospitalizations from two to three (NS). Significant improvements were observed in HRQL ( p = 0.0001), treatment adherence ( p = 0.025), adequate inhaler technique ( p < 0.0001), and COPD knowledge ( p < 0.001). Primary care physicians increased their prescriptions for long-acting bronchodilators with/without inhaled corticosteroid, flu immunizations, and COPD action plans in the event patient had an exacerbation. The COPD self-management educational intervention in FMCs reduced unscheduled visits to the clinic and improved patients' quality of life, self-management skills, and knowledge. The program had a positive impact on COPD-related practices by primary care physicians in the FMCs.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".