Management of chronic obstructive pulmonary disease in Swiss primary care: room for improvement
Bibliographic record
Abstract
BACKGROUND: Information on the quality of care for patients with chronic obstructive pulmonary disease (COPD) in Swiss primary care is limited. AIM: To identify gaps and quality improvement potential in COPD primary care in Switzerland. METHODS: Pooled analysis of selected published data. Six international COPD guidelines (German, Swiss, United Kingdom, Canadian, Australian and New Zealand, and the global initiative on obstructive lung disease [GOLD] guidelines) were reviewed for care elements with a level of evidence rated II and higher in at least three of the six guidelines. We compared published data on COPD management in Swiss primary care with these recommendations and with published international benchmarks. RESULTS: Nine elements fulfilled the criteria for evidence level II or higher in at least three of six COPD guidelines. These were summarised in six key domains: diagnosis, smoking cessation counselling, influenza vaccination, pharmacological treatment, patient education and pulmonary rehabilitation (long-term oxygen and palliative care are not the focus of COPD primary care in Switzerland and outpatient exacerbation management was subordinated to pharmacological treatment and education). Swiss primary care data revealed spirometric confirmation of diagnosis in 55% of patients, smoking cessation counselling in 50% and influenza vaccination in 66%. Inadequate prescription of inhaled corticosteroids (ICS) was high at 38% in mild COPD and 43% in moderate COPD. Referral for pulmonary rehabilitation, even for patients with severe COPD, was low at 19% and data on patient education were rare. Diagnosis, patient education and referral for pulmonary rehabilitation revealed the highest, and influenza vaccination the lowest performance gap. CONCLUSION: Gaps between current care and recommended best practice exist in Swiss primary care COPD management. Promoting and implementing evidence-based frameworks for developing high quality care for patients with COPD are necessary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.047 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".