Digital Patient Engagement in Technology-Supported Neurorehabilitation
Key facts
- Where
- Milan, Montescano, and Pavia, ItalySee the 3 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 85 years old?
Source: NCT07794072, who can take part
Where in Italy
- ICS Maugeri IRCCS - Istituto Scientifico di MilanoMilan, ItalyNo longer taking part
- ICS Maugeri IRCCS - Istituto Scientifico di MontescanoMontescano, ItalyNo longer taking part
- ICS Maugeri IRCCS - Istituto Scientifico di PaviaPavia, ItalyNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Catholic University, Italy
- Trial code
- NCT07794072
- Record updated
- 15 September 2026
- Original description
The 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.Read full original descriptionShow less
Digital Patient Engagement and Psychosocial Dimensions in Technology-Supported Neurorehabilitation
The 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.
Inclusion: Aged between 18 and 85 years; Diagnosed with one of the following neurological conditions: stroke, Parkinson's disease, ataxia, motor neuron disease, spinal cord injury, traumatic brain injury, or post-neurosurgical neurological outcomes; Have completed at least three rehabilitation sessions using the technologies under study, representing the minimum exposure required for participants to become sufficiently familiar with the technology and to provide informed feedback on their experience of use; Have adequate cognitive functioning, defined as the ability to understand study-related information, provide informed consent, and reliably complete the planned assessment measures, as determined by the clinical team during routine clinical evaluation; Have sufficient proficiency in Italian to understand the study information and complete the assessment measures reliably; Can use the digital tools required for data collection, e.g., a tablet, either independently or with compensatory aids and/or assistance from the data collection staff.
Exclusion: Diagnosis of an acute or non-stabilized psychiatric disorder, such as an active psychotic episode or a depressive episode with severe symptoms, that may interfere with informed participation in the study; Severe uncompensated sensory impairment, such as severe visual or hearing impairment, that prevents the use of the digital tools required for data collection; Motor impairment that prevents interaction with a tablet, even with compensatory aids and/or assistance from the data collection staff.