МОЖЛИВОСТІ ТЕЛЕРЕАБІЛІТАЦІЇ У ВІДНОВЛЕННІ РУХОВИХ ФУНКЦІЙ У ДІТЕЙ З НЕВРОЛОГІЧНОЮ ПАТОЛОГІЄЮ
Notice bibliographique
Résumé
Neurodevelopmental disorders, particularly cerebral palsy and other impairments of the central nervous system (CNS), are frequently associated with persistent motor deficits that significantly affect children's ability to perform daily activities and participate fully in age-appropriate social, educational, and physical environments. Early childhood is a critical period for motor development, and timely rehabilitation interventions during this window of heightened neuroplasticity can have a profound impact on long-term functional outcomes. Traditional rehabilitation approaches often require frequent in-person visits to specialized centers, which may not be feasible for many families due to geographical remoteness, lack of transportation, economic constraints, or limited availability of trained professionals. In this context, telerehabilitation has emerged as a promising alternative or adjunct to conventional care. It leverages modern information and communication technologies to deliver therapeutic services remotely, thereby overcoming many logistical and systemic barriers to care. Telerehabilitation can ensure continuous access to therapy, facilitate individualized programming, and foster stronger involvement of parents and caregivers in the rehabilitation process, which is a key factor in the success of pediatric interventions. The aim of this paper is to analyze contemporary literature on the effectiveness of telerehabilitation in promoting motor function recovery in children with neurological disorders. This narrative review synthesizes evidence from randomized controlled trials (RCTs), systematic reviews, scoping reviews, and cohort studies that assess the impact of various remote interventions on motor skills, functional independence, participation in daily life, and overall quality of life. The paper also discusses commonly used outcome measurement tools, such as the Gross Motor Function Measure (GMFM), the Pediatric Evaluation of Disability Inventory (PEDI), and the Canadian Occupational Performance Measure (COPM), which are instrumental in quantifying progress and tailoring interventions. Furthermore, the International Classification of Functioning, Disability and Health (ICF) framework is explored as a valuable model for designing and evaluating telerehabilitation programs. Findings indicate that telerehabilitation can significantly enhance motor development, reduce the severity of functional limitations, improve treatment adherence, and empower families to take an active role in the therapeutic journey. Successful programs often combine structured, play-based home activities with real-time virtual support from professionals, gamified platforms to enhance motivation, mobile applications for tracking progress, and virtual or augmented reality technologies to simulate engaging therapeutic environments. Nonetheless, challenges remain, including the need for standardized protocols, sufficient training for providers, data privacy and security concerns, and ensuring equitable access to digital health tools across diverse populations. Further high-quality studies are needed to establish best practices and to fully integrate telerehabilitation into pediatric neurorehabilitation pathways.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».