Evaluation of a Novel eHealth Tool for Pulmonary Rehabilitation in People With Chronic Obstructive Pulmonary Disease: Randomized Controlled Pilot and Feasibility Trial
Notice bibliographique
Résumé
BACKGROUND: There is a growing interest in eHealth solutions to enhance access to and use of pulmonary rehabilitation for people with chronic obstructive pulmonary disease (COPD). OBJECTIVE: This study aims to evaluate the feasibility of a novel eHealth tool (Me&COPD) to support pulmonary rehabilitation concerning usability, exercise adherence, intensity, progression, and adverse events. Moreover, this study aims to evaluate clinical outcome measures to prepare for a future larger trial. METHODS: A multicenter, parallel-group randomized controlled pilot and feasibility trial was conducted in 6 primary health care centers. People with mild to severe COPD were recruited by physiotherapists at the included health care centers and randomized either to the intervention group with access to Me&COPD for 3 months or to the control group receiving usual care. The Me&COPD tool comprised audio-visual and written self-management strategies, including an individually tailored home-based exercise program and interaction with a physiotherapist. The exercise program was prescribed in a face-to-face meeting with a physiotherapist, and thereafter it was regularly reviewed and adjusted through the eHealth tool. The primary outcome, usability, was self-assessed at intervention completion in the intervention group and among participating physiotherapists (n=7) using the Swedish version of the Mobile Health App Usability Questionnaire (S-MAUQ). In addition, use data on exercise adherence, intensity, and progression and adverse events were exported from the eHealth tool. Clinical outcomes, assessed by blinded assessors at baseline and 3 months in the intervention and control groups, included exercise capacity, balance, physical activity level, COPD-related symptoms, and health-related quality of life. Descriptive statistics were used for analysis. RESULTS: In total, 22 participants (women: n=12, 55%), aged 72.3 (SD 8.4) years on average, were included in the intervention (n=15) and control (n=7) groups. The mean overall S-MAUQ scores out of 7 (highest possible usability) were 4.4 (SD 1.5) for participants and 4.5 (SD 1.2) for physiotherapists. Among the subscales, the highest score was assigned to usefulness among participants (S-MAUQ: mean 4.9, SD 1.3) and physiotherapists (S-MAUQ: mean 5.1, SD 1.7). No severe adverse events were registered, although exercise adherence, intensity, and progression evaluation were limited by incomplete exercise session registration. The test procedures and the clinical outcome measures used were found to be feasible for the participants and the assessors. CONCLUSIONS: The novel eHealth tool, Me&COPD, seemed feasible in terms of safety and had acceptable usability among people with COPD and participating physiotherapists. Usability may be improved by better organization of the information and simplification of the exercise diary to enable collection of data on exercise adherence, intensity, and progression through the eHealth tool. The test procedures seemed feasible, although the recruitment process needs further consideration. The effectiveness of the intervention remains to be evaluated in a future larger trial. TRIAL REGISTRATION: ClinicalTrials.gov NCT05086341; https://clinicaltrials.gov/study/NCT05086341.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».