Systematic review of clinical effectiveness, components, and delivery of pulmonary rehabilitation in low-resource settings
Bibliographic record
Abstract
Pulmonary rehabilitation (PR) is a guideline-recommended multifaceted intervention that improves the physical and psychological well-being of people with chronic respiratory diseases (CRDs), though most of the evidence derives from trials in high-resource settings. In low- and middle-income countries, PR services are under-provided. We aimed to review the effectiveness, components and mode of delivery of PR in low-resource settings. Following Cochrane methodology, we systematically searched (1990 to October 2018; pre-publication update March 2020) MEDLINE, EMBASE, CABI, AMED, PUBMED, and CENTRAL for controlled clinical trials of adults with CRD (including but not restricted to chronic obstructive pulmonary disease) comparing PR with usual care in low-resource settings. After duplicate selection, we extracted data on exercise tolerance, health-related quality of life (HRQoL), breathlessness, included components, and mode of delivery. We used Cochrane risk of bias (RoB) to assess study quality and synthesised data narratively. From 8912 hits, we included 13 studies: 11 were at high RoB; 2 at moderate RoB. PR improved functional exercise capacity in 10 studies, HRQoL in 12, and breathlessness in 9 studies. One of the two studies at moderate RoB showed no benefit. All programmes included exercise training; most provided education, chest physiotherapy, and breathing exercises. Low cost services, adapted to the setting, used limited equipment and typically combined outpatient/centre delivery with a home/community-based service. Multicomponent PR programmes can be delivered in low-resource settings, employing a range of modes of delivery. There is a need for a high-quality trial to confirm the positive findings of these high/moderate RoB studies.
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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 | 0.022 | 0.104 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.011 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".