Developing a Web Platform to Optimize the Self-Management of People Living with a Chronic Respiratory Disease
Bibliographic record
Abstract
Purpose: The purpose of this article is to describe the development of a new Web platform to optimize self-management after pulmonary rehabilitation (PR) for persons living with a chronic respiratory disease (CRD) and to present data on its usability. Method: The Web platform is informed by a theoretical framework of behaviour changes and concepts of self-management and self-efficacy. It uses breathing exercises and a logbook and is meant to be a self-management tool. Usability was tested for 8 months after PR with a group consisting of five patients with chronic obstructive pulmonary disease and one with pulmonary fibrosis. We evaluated adherence (e.g., number of exercise/weeks), quality of life, dyspnoea, and functional capacity. We measured frequency count for adherence and pre–post differences per patient for clinical outcomes. Results: Four participants’ adherence was higher than 50% of completed exercises (72 exercise/weeks). Five of six participants showed maintenance of functional capacity (6-minute walk test) 8 months after PR. Four participants showed maintenance of their quality of life. Four participants showed a deterioration in dyspnoea on the Borg Scale of Perceived Exertion. Conclusions: We developed a new theory-informed Web platform to optimize self-management after PR for persons living with a CRD. The pilot Web platform appears to optimize adherence to self-management techniques and possibly stabilize people’s health outcomes.
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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 | 0.000 | 0.001 |
| 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) | 0.000 | 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".