Using Telehealth Technology to Deliver Pulmonary Rehabilitation to Patients with Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
BACKGROUND: Pulmonary rehabilitation (PR) is an effective therapeutic strategy to improve health outcomes in patients with chronic obstructive pulmonary disease (COPD); however, there is insufficient PR capacity to service all COPD patients, thus necessitating creative solutions to increase the availability of PR. OBJECTIVE: To examine the efficacy of PR delivered via Telehealth (Telehealth-PR) compared with PR delivered in person through a standard outpatient hospital-based program (Standard-PR). METHODS: One hundred forty-seven COPD patients participated in an eight-week rural PR program delivered via Telehealth-PR. Data were compared with a parallel group of 262 COPD patients who attended Standard-PR. Education sessions were administered two days per week via Telehealth, and patients exercised at their satellite centre under direct supervision. Standard-PR patients viewed the same education sessions in person and exercised at the main PR site. The primary outcome measure was change in quality of life as evaluated by the St George's Respiratory Questionnaire (SGRQ). A noninferiority analysis was performed using both intention-to-treat and per-protocol approaches. RESULTS: Both Telehealth-PR and Standard-PR resulted in clinically and statistically significant improvements in SGRQ scores (4.5 ± 0.8% versus 4.1 ± 0.6%; P<0.05 versus baseline for both groups), and the improvement in SGRQ was not different between the two programs. Similarly, exercise capacity, as assessed by 12 min walk test, improved equally in both Telehealth-PR and Standard-PR programs (81±10 m versus 82 ± 10 m; P<0.05 versus baseline for both groups). CONCLUSION: Telehealth-PR was an effective tool for increasing COPD PR services, and demonstrated improvements in quality of life and exercise capacity comparable with Standard-PR.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".