Reduced Chronic Obstructive Pulmonary Disease–Related Utilization of Health Care Services and Increased Social Activities by Patients Offered a 24/7 Accessible Telehealth Service Based on the Epital Care Model: Pragmatic Modified Stepped Wedge Randomized Controlled Trial (Preprint)
Notice bibliographique
Résumé
BACKGROUND An escalating prevalence of older adults living longer with chronic conditions challenges the health care workforce. Innovative web-based services, such as those based on the Epital Care Model (ECM), may help address these challenges, though their effects remain undocumented. OBJECTIVE The objectives of this study are to investigate whether telehealth services provided by an ECM response and coordination center, complementary to usual care provided by general practitioners (GPs), affect the participants’ mental well-being and use of health care services as primary outcomes, and social activities and mobility as a secondary outcome. METHODS Using a pragmatic, modified, stepped wedged, nonblinded design, 184 people living with chronic obstructive pulmonary disease, diagnosed in accordance with the GOLD (Global Initiative for Chronic Obstructive Lung Disease) guidelines, were, for logistic and resource reasons, randomized over a period of 10 months, within blocks of up to ten participants and at four geographically distinct locations, into either an ECM-based complementary telehealth service (ECTHS), manned by certified nonprofessional staff, or usual care provided by GPs and other health care services. All baseline parameters were collected in person, whereas all follow-up data were based on data from the participants’ health records and telephone interviews at 8 months (T1) and 12 months (T2). Mental well-being was assessed by the World Health Organization-5 Well-Being Index (WHO-5), using an independent 2-sample t test for comparison between groups and a dependent 2-sample t test for comparison between T0 and T1 and T2, respectively, within the two groups. Health care service usage and participants’ social activity and mobility were assessed and compared using Poisson regression. RESULTS In an intention-to-treat analysis, there were no differences in WHO-5 score within or between groups, whereas a difference was found at T2 in a per protocol analysis (mean 68.68, SD 17.40 in ECTHS vs 59.70, SD 19.51 in usual care; P=.01). Estimates of the Poisson regression were for chronic obstructive pulmonary disease related contacts to health care services at T2 for hospital admissions (0.51; P=.04), out-of-office services (0.49; P=.09), outpatient clinics (0.49; P=.02), and visits at GP (0.25; P<.001), demonstrating a reduction in usage between 49% and 75% after adjustment for age, GOLD risk score, risk time and comorbidities. In addition, at both T1 and T2, there was an increase in participation in cultural events and travel activities abroad, with T2 estimates of 1.73 (P<.001) and 2.50 (P=.002), respectively, demonstrating an increase of 73% and 150%, respectively. CONCLUSIONS These results contribute to a new perspective on how health care services can be organized to reduce health care usage and increase social activity and mobility based on an ECTHS manned with nonprofessional certified staff. CLINICALTRIAL ClinicalTrials.gov NCT06988566, https://clinicaltrials.gov/study/NCT06988566 (retrospectively registered)
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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 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 ».