Telehealth Interventions for Management of Chronic Obstructive Lung Disease (COPD) and Asthma
Bibliographic record
Abstract
The authors systematically collated, classified, and evaluated the evidence of intervention studies from recent systematic reviews about the effects of telehealth interventions on COPD and asthma care. Eight electronic databases were searched. Eligible articles were those published between 2001 and 2011 in English. Eleven review articles are included. Asthma and COPD are better controlled when patients use interactive technological tools to monitor their chronic disease. The effects of telehealth interventions on emergency department attendance, specific quality of life, and mortality remained less certain. Only some reviews mentioned if the cost-effectiveness was systematically analyzed. Telehealth promises to be a highly effective intervention in managing chronic lung diseases while also potentially reducing some of the economic burdens of asthma and COPD. New directions in telehealth developments, implementations, and evaluations should be made, in which the exchange of health information should not be over simplified, but rather reflect the different socio-cultural practices of population groups and individuals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".