Neurological Disorders
Digitising a Home-Based Care pathway for people with Parkinson's (Video)
Parkinson's disease is the world's fastest-growing neurological condition. In the UK, there are an estimated 153,000 people already living with Parkinson's, a number that is expected to increase to 172,000 by 2030. Motor and non-motor symptoms associated with Parkinson's disease can have a significant impact on patients' and carers' quality of life. Despite having potentially numerous and varying symptoms, patients with Parkinson's are only typically seen once or twice a year.
Professor Camille Carroll, Professor of Clinical Neuroscience at Newcastle University and Honorary Consultant Neurologist at University Hospitals Plymouth NHS Trust, led the co-design of a unique Home Based Care pathway with people with Parkinson's, Parkinson's clinicians and nurse specialists. Launched in 2019 at the University Hospitals Plymouth NHS Trust, it has already demonstrated benefits for patients and clinicians. Still, it requires a large amount of manual 'pen and paper' data collection and input of results. We support Prof Carroll with funding from an NHS England Digital Health Partnership Award, enabling us to digitise this pathway. The new system will allow online data collection, seamless transfer and integration of data via the cloud, and digital records that patients and clinicians can access to monitor symptoms and adjust care accordingly.
Relevant publications:
- Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson's Disease Symptoms: Protocol for a Systematic Review
- Impact of digital technologies on self-efficacy in people with Parkinson's: A scoping review protocol
Developing and evaluating an app to support self-management of non-motor symptoms in Parkinson's (Video)
Although Parkinson's disease is commonly associated with motor symptoms in public perception, non-motor symptoms (such as pain, digestive difficulties, eye problems, and more) are often the earliest signs of Parkinson's. They can negatively impact patients' quality of life more than motor symptoms. Despite this, they are often overlooked by patients and clinicians, meaning that patients are not necessarily receiving the proper support to manage them.
Professor Carroll led the co-design and development of a mobile app to help patients identify, monitor, and self-manage their non-motor symptoms. Together with funding from Parkinson's UK, we are refining and evaluating the app NMS Assist. NMS Assist enables patients and carers to track their symptoms and well-being, receive targeted self-management advice, and share data with healthcare teams, enabling earlier and more targeted clinical interventions. After development is complete, we will lead a mixed-methods study to establish evidence of the impact of the system on patient confidence, knowledge, and skills for self-management of NMS, symptom burden, and quality of life of people with Parkinson's and their care partners. It will also evaluate the usability, acceptability, and potential for system adoption.
Relevant publications:
- The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson's Disease: Proposal for a Phase 1 Implementation Study
-
Self-management Interventions for People With Parkinson's Disease: Scoping Review
- Self-Management Systems for Patients and Clinicians in Parkinson's Care: Protocol for an Integrated Scoping Review, Product Search, and Evaluation
- Self-Management Systems for Patients and Clinicians in Parkinson's Disease Care: A Scoping Review
Implementing subcutaneous EEG monitoring for people with intellectual disability and epilepsy
Many people with intellectual disabilities (PwID) have seizures. Electroencephalography (EEG), which measures the brain's electrical activity, is a key method of diagnosing and assessing seizures. Assessment is generally conducted in a hospital, which is time-restricted and can be difficult for PwID. UNEEG Medical has developed a very small device ('SubQ') that can be put under the skin on a person's head to track their brain activity without staying in the hospital. It has been implanted for 15 months successfully in people with seizures but not in PwID.
In collaboration with Professor Rohit Shankar, Professor of Neuropsychiatry and Director of the Cornwall Intellectual Disability Equitable Research (CIDER) unit, we were funded by Phase 1 of an SBRI Healthcare competition around Autism and Learning Disabilities, where we conducted co-production workshops with PwID and family members and carers of PwID to understand how this technology could be used to improve our understanding of epilepsy and seizures in this population, which patients it might be helpful for, and how to explain the technology to and consent PwID. With funding from a Phase 2 Award from SBRI Healthcare, we are conducting a pilot study to test how well the device can detect seizures in people with moderate to profound ID and to assess its acceptability, safety, and impact on patients' and carers' quality of life, behaviour, and clinical care. This is a particular challenge for PwID and epilepsy, who may not be able to communicate about their experiences and can result in the prescription of inappropriate medications.