Impact of Pulmonary Rehabilitation Services in Patients with Different Lung Diseases
Bibliographic record
Abstract
BACKGROUND: the effect of pulmonary rehabilitation (PR) services, beyond research contexts, on patients with lung diseases other than COPD requires further study. OBJECTIVES: to (i) assess the impact of a publicly funded PR on patients' exercise capacity, self-efficacy, and health-related quality of life (HRQoL), and (ii) explore whether the effects vary across lung diseases. METHODS: this retrospective pre-post study analyzed data from the Winnipeg Regional Health Authority PR program between 2016 and 2019. RESULTS: 682 patients completed the full PR program. Pooled analyses found significant improvements in the patients' exercise capacity (six-minute walk test (6MWT) (13.6%), fatigue (10.3%), and dyspnea (6.4%)), Self-Efficacy for Managing Chronic Disease 6-Item Scale (SEMCD6) (11.6%), and HRQoL (Clinical COPD Questionnaire (CCQ) (18.5%) and St George's Respiratory Questionnaire (SGRQ) (10.9%)). The analyses conducted on sub-groups of patients with chronic obstructive pulmonary disease (COPD), asthma, bronchiectasis, interstitial lung diseases (ILDs), other restrictive lung diseases (e.g., obesity, pleural effusion, etc.), lung cancer, and pulmonary hypertension (PH) indicated that, except for patients with PH, all the patients improved in the 6MWT. Fatigue decreased in patients with COPD, ILDs, and other restrictive lung diseases. Dyspnea decreased in patients with COPD, asthma, and lung cancer. SEMCD6 scores increased in COPD, ILDs and PH patients. CCQ scores decreased in all lung diseases, except lung cancer and PH. SGRQ scores only decreased in patients with COPD. CONCLUSION: PR services had a significant impact on patients with different lung diseases. Therefore, publicly funded PR should be available as a critical component in the management of patients with these diseases.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".