Catholic University, Italy — Biomedical Watch V2

Traitements2programmes

Essais1liés

Publications0liées

SourceDBlocale

Traitements

2

Molécule	Indication / population	Phase	Objectif	Pays	Résultat
PSY-NeT-Engage — Digital Patient Engagement in Technology-Supported NeurorehabilitationThe goal of this observational study is to investigate digital patient engagement and its psychosocial correlates and potential predictors among adults aged 18-85 years with neurological disorders who are undergoing technology-supported neurorehabilitation using robotic systems for upper-limb training and/or virtual reality-based technologies. Specifically, the study will examine the roles of hope and the quality of the patient-healthcare professional relationship as the potential predictors of engagement with rehabilitation technologies. It will also explore the contribution of disease-management self-efficacy, technology anxiety, and sociodemographic, clinical, functional, and rehabilitation-related characteristics. Finally, the study will examine whether digital patient engagement predicts the perceived psychosocial impact of rehabilitation technologies, behavioural intention to continue using them, and overall satisfaction with the rehabilitation pathway. Participants will: * continue their standard neurorehabilitation pathway without any modification to routine clinical procedures; * complete a computerized self-report questionnaire via the Qualtrics digital platform at a single time point after completing at least three rehabilitation sessions using the technologies under study. No experimental intervention, comparison group, or follow-up assessment is planned.	Parkinson	À vérifier	À vérifier	Italy	À vérifier
PSY-NeT-Engage — Digital Patient Engagement in Technology-Supported NeurorehabilitationThe goal of this observational study is to investigate digital patient engagement and its psychosocial correlates and potential predictors among adults aged 18-85 years with neurological disorders who are undergoing technology-supported neurorehabilitation using robotic systems for upper-limb training and/or virtual reality-based technologies. Specifically, the study will examine the roles of hope and the quality of the patient-healthcare professional relationship as the potential predictors of engagement with rehabilitation technologies. It will also explore the contribution of disease-management self-efficacy, technology anxiety, and sociodemographic, clinical, functional, and rehabilitation-related characteristics. Finally, the study will examine whether digital patient engagement predicts the perceived psychosocial impact of rehabilitation technologies, behavioural intention to continue using them, and overall satisfaction with the rehabilitation pathway. Participants will: * continue their standard neurorehabilitation pathway without any modification to routine clinical procedures; * complete a computerized self-report questionnaire via the Qualtrics digital platform at a single time point after completing at least three rehabilitation sessions using the technologies under study. No experimental intervention, comparison group, or follow-up assessment is planned.	Parkinson	À vérifier	À vérifier	Italy	À vérifier

Essais cliniques

1

Molécule	Indication / population	Phase	NCT	Titre	Statut
PSY-NeT-Engage — Digital Patient Engagement in Technology-Supported Neurorehabilitation	Parkinson	À vérifier	NCT07794072	PSY-NeT-Engage — Digital Patient Engagement in Technology-Supported Neurorehabilitation	NOT_YET_RECRUITING

Publications

0

Molécule	Indication / population	Titre	Journal	Date
Aucune publication.