Parkinson's Disease Clinical Trial
— CUSSPOfficial title:
The CloudUPDRS Smartphone Software in Parkinson's Study - a Pilot Dual-site, Open Label Study Comparing the Validity of Smartphone Software for Monitoring the Symptoms and Signs of Parkinson's Disease.
Verified date | July 2018 |
Source | University College, London |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study compares the validity and usability of smartphone software for home monitoring of symptoms and signs in Parkinson's disease as compared to the current clinical gold standard - the Unified Parkinsons Disease Rating Scale.
Status | Active, not recruiting |
Enrollment | 60 |
Est. completion date | September 2019 |
Est. primary completion date | September 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: 1. Diagnosed with probable idiopathic Parkinson's Disease according to Brain Bank criteria (Gibb and Lees, 1988). 2. Over 18 years old. 3. Achieve >20/30 on the Montreal Cognitive Assessment (MOCA). 4. They must have been on the current Parkinson's Disease medication schedule for at least a week and have no plans to change this during the period of testing. 5. They must have the capacity to consent to take part in the study. 6. They must be able to understand English to the level of being able to operate the phone software, follow its instructions and be able to answer the study questions. Exclusion Criteria: 1. Acute medical illness. 2. Any other co-morbidity that in the opinion of the Investigator may preclude their participation in the study. 3. Unable to consent to the study. |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Ashwani Jha | London |
Lead Sponsor | Collaborator |
---|---|
University College, London |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Data exploration | Data from this study will be subjected to post hoc analysis to explore future hypotheses in this area. | 3years | |
Primary | Validity of smartphone software for home monitoring in Parkinson's disease | The primary objective is to measure the validity (bias and reliability) of the smartphone UPDRS (smartphone derived UPDRS). The primary objective outcome measure is the accuracy (and error) of the smartphone UPDRS predictions of the clinical UPDRS rating score. This will be ascertained by using multiple cross-validation runs in which the data are randomly split into 'calibration' and 'testing' cohorts. The model will be trained on the 'calibration' dataset, and the accuracy and error from the out-of-sample predictions will be summarised into a mean accuracy and error score. | 3 years |
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