The CloudUPDRS Smartphone Software in Parkinson's Study. (CUSSP)
Primary Purpose
Parkinson's Disease
Status
Unknown status
Phase
Not Applicable
Locations
United Kingdom
Study Type
Interventional
Intervention
CloudUPDRS smartphone software assessment
Clinical assessment
Sponsored by
About this trial
This is an interventional other trial for Parkinson's Disease
Eligibility Criteria
Inclusion Criteria:
- Diagnosed with probable idiopathic Parkinson's Disease according to Brain Bank criteria (Gibb and Lees, 1988).
- Over 18 years old.
- Achieve >20/30 on the Montreal Cognitive Assessment (MOCA).
- 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.
- They must have the capacity to consent to take part in the study.
- 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:
- Acute medical illness.
- Any other co-morbidity that in the opinion of the Investigator may preclude their participation in the study.
- Unable to consent to the study.
Sites / Locations
- Ashwani Jha
Arms of the Study
Arm 1
Arm 2
Arm Type
Active Comparator
Experimental
Arm Label
Clinical Assessment
Smartphone assessment
Arm Description
Motor assessment will be performed by a clinician using the Unified Parkinson's Disease Rating Scale.
CloudUPDRS smartphone software assessment will be performed.
Outcomes
Primary Outcome Measures
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.
Secondary Outcome Measures
Full Information
NCT ID
NCT02937324
First Posted
October 14, 2016
Last Updated
May 21, 2019
Sponsor
University College, London
1. Study Identification
Unique Protocol Identification Number
NCT02937324
Brief Title
The CloudUPDRS Smartphone Software in Parkinson's Study.
Acronym
CUSSP
Official 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.
Study Type
Interventional
2. Study Status
Record Verification Date
July 2018
Overall Recruitment Status
Unknown status
Study Start Date
September 2016 (undefined)
Primary Completion Date
September 2019 (Anticipated)
Study Completion Date
September 2019 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University College, London
4. Oversight
Data Monitoring Committee
No
5. Study Description
Brief Summary
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.
Detailed Description
Parkinson's Disease (PD) is a neurodegenerative condition, which when treated can result in fluctuating motor activity - sometimes too much movement, sometimes too little.
A series of tests, run on a smartphone, will be used to evaluate the motor signs of Parkinson's and related to a clinical evaluation based on the Unified Parkinson's Disease Rating Scale. 60 participants will be recruited.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Parkinson's Disease
7. Study Design
Primary Purpose
Other
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Masking
Outcomes Assessor
Allocation
Randomized
Enrollment
60 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Clinical Assessment
Arm Type
Active Comparator
Arm Description
Motor assessment will be performed by a clinician using the Unified Parkinson's Disease Rating Scale.
Arm Title
Smartphone assessment
Arm Type
Experimental
Arm Description
CloudUPDRS smartphone software assessment will be performed.
Intervention Type
Device
Intervention Name(s)
CloudUPDRS smartphone software assessment
Intervention Description
Smartphone software consisting of a series of tapping and tremor-measurement tests designed to measure a subset of the UPDRS.
Intervention Type
Other
Intervention Name(s)
Clinical assessment
Intervention Description
A clinician will assess the motor signs of the participant using the Unified Parkinson's Disease Rating Scale. The examination will be videoed and rated by 3 blinded examiners.
Primary Outcome Measure Information:
Title
Validity of smartphone software for home monitoring in Parkinson's disease
Description
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.
Time Frame
3 years
Other Pre-specified Outcome Measures:
Title
Data exploration
Description
Data from this study will be subjected to post hoc analysis to explore future hypotheses in this area.
Time Frame
3years
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Diagnosed with probable idiopathic Parkinson's Disease according to Brain Bank criteria (Gibb and Lees, 1988).
Over 18 years old.
Achieve >20/30 on the Montreal Cognitive Assessment (MOCA).
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.
They must have the capacity to consent to take part in the study.
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:
Acute medical illness.
Any other co-morbidity that in the opinion of the Investigator may preclude their participation in the study.
Unable to consent to the study.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Kailash Bhatia, MD
Organizational Affiliation
University College, London
Official's Role
Principal Investigator
Facility Information:
Facility Name
Ashwani Jha
City
London
ZIP/Postal Code
WC1N 3BG
Country
United Kingdom
12. IPD Sharing Statement
Plan to Share IPD
No
Learn more about this trial
The CloudUPDRS Smartphone Software in Parkinson's Study.
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