Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): A Multi-Centre Prospective Cohort Study Protocol
Initiatives
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This study aims to: 1) determine the usability, feasibility and acceptability of RMT; 2) improve and refine clinical outcome measurement using RMT to identify current clinical state; 3) determine whether RMT can provide information predictive of depressive relapse and other critical outcomes.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2019
- End Year
- 2019
- Funding
- The RADAR-CNS project has received funding from the Innovative MedicinesInitiative 2 Joint Undertaking under grant agreement No 115902. This JointUndertaking receives support from the European Union’s Horizon 2020 re-search and innovation programme and EFPIA (www.imi.europa.eu).
Design
- Study design
- Patients' cohort
Marker Paper
Matcham F, Barattieri di San Pietro C, Bulgari V, et al. Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol. BMC Psychiatry. 2019;19(1):72. Published 2019 Feb 18. doi:10.1186/s12888-019-2049-z
PUBMED 30777041
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 600
- Number of participants with biosamples
- Supplementary Information
- 600 participants with a history of depressive disorder
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
participants with a history of depressive disorder.
The 600 participants with a history of depressive disorder.
Selection Criteria
- Newborns
- Twins
- Countries
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- United Kingdom
- Netherlands
- Spain
- Territory
- London, Amsterdam and Barcelona
- Ethnic Origin
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- Health Status
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- The 600 participants with a history of depressive disorder.
Recruitment
- Sources of recruitment
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- Specific population
Number of participants
- Number of participants
- 600
- Number of participants with biosamples
Data Collection Event
Participants will be asked to wear a wrist-worn activity tracker and download several apps onto their smartphones. These apps will be used to either collect data passively from existing smartphone sensors, or to deliver questionnaires, cognitive tasks, and speech assessments. The wearable device, smartphone sensors and questionnaires will collect data for up to 2-years about participants' sleep, physical activity, stress, mood, sociability, speech patterns, and cognitive function.
- Start Date
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2019
- End Date
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2019
- Data sources
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Mobile data collection
- Smartphone apps
- Smartwatch and wearables
- Tablet/laptop
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Mobile data collection