Remote Assessment in People with Parkinson's Disease (RAP-Parkinson's)
Research type
Research Study
Full title
Evaluation of smartphone-based remote patient monitoring application to generate clinically relevant outcome measures for assessing clinical status in Parkinson’s Disease
IRAS ID
252104
Contact name
Rashmi Lakshminarayana
Contact email
Sponsor organisation
Medopad
Duration of Study in the UK
0 years, 5 months, 28 days
Research summary
Parkinson’s disease (PD) is an age-related, neurodegenerative disorder. It is the second most common neurodegenerative disorder after Alzheimer’s disease, and affects 6.3 million people worldwide. Across all its stages, the condition can become disabling and have a significant impact on patient and carer Quality of Life (QoL).
The drive behind the growing recognition and promises offered by digital solutions to transform clinical research and management of PD signs has so far not translated into greater understanding of disease. Recent studies have aimed to address this by using smartphones and a combination of passive measures with pre-defined active measures.
Despite numerous studies reporting the use of digital technology in PD, there are none that
combine the power of remote video capture with Machine Learning (ML) to digitise Unified Parkinson's Disease Rating Scale (UPDRS) and H&Y score allocation, also capture PROMS, symptoms, and medications.In addition to this user acceptability and quality of data derived from smartphone applications continue to be the focus of research into this field.
We propose to assess patient acceptability of using their smartphones to assess if the videos captured by patients are adequate for UPDRS and H&Y scoring.Patients will be asked to perform a series of tasks that they would otherwise perform as part of their routine clinic visits. These videos are recorded by a friend, family member, or carer with a smartphone.
The study is intended to explore whether remote video capture of movement combined with both symptom, medication tracking and PROMS has clinical utility in remotely assessing the clinical status of patients diagnosed with Parkinson’s disease (PD). These outputs will also be used to inform further development of the UPDRS algorithm.REC name
London - Fulham Research Ethics Committee
REC reference
18/LO/1596
Date of REC Opinion
12 Nov 2018
REC opinion
Further Information Favourable Opinion