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Skip search results from other journals and go to results- 8 JMIR mHealth and uHealth
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Participants with a confirmed diagnostic history of depression were recruited through the RADAR-CNS (Remote Assessment of Disease And Relapse - Central Nervous System) study [31], those with epilepsy and MS self-identified as having a diagnosis of one of these conditions and were recruited through nonprofit organizations (Epilepsy Action and MS Society) and were invited to join condition-specific focus groups.
J Med Internet Res 2024;26:e43954
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The data analyzed in this study were sourced from the Remote Assessment of Disease and Relapse Major Depressive Disorder (RADAR-MDD) research program, which aimed to investigate the utility of remote technologies for monitoring depression and understanding factors that could help predict relapse in MDD [40]. A total of 623 participants were recruited from 3 study sites across 3 European countries (United Kingdom, Spain, and the Netherlands) and followed for up to 2 years [41].
J Med Internet Res 2024;26:e55302
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This work is part of the Innovative Medicines Initiative (IMI)-2 Remote Assessment of Disease and Relapse–Central Nervous System (RADAR-CNS) major program [25], which aimed to evaluate remote monitoring using wearables and smartphones in 3 central nervous system disorders (MDD, epilepsy, and multiple sclerosis) [26-31].
J Med Internet Res 2023;25:e45233
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Remote Assessment of Disease and Relapse–Central Nervous System (RADAR-CNS) was a 6-year project to understand the feasibility and acceptability of using remote measurement technology (RMT) to collect health-relevant data from individuals living with epilepsy, multiple sclerosis (MS), or depression [6].
JMIR Neurotech 2023;2:e41439
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The EU research program RADAR-MDD aimed to investigate the utility of mobile technologies for the long-term monitoring of participants with depression in real-world settings [35,40].
JMIR Mhealth Uhealth 2022;10(10):e40667
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Participants’ passive data (eg, location, steps, and sleep) and active data (eg, questionnaires) were respectively collected via passive remote measurement technologies and active remote measurement technologies apps provided by an open-source platform (RADAR-base) [29]. A patient advisory board comprising service users co-developed the study and were involved in the choice of measures, the timing, and issues of engagement and in developing the analysis plan.
JMIR Ment Health 2022;9(3):e34898
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In this study, we examined the association between the overall severity of MDD symptoms and a measure of daily mobility patterns using data from a larger and more diverse group of participants collected in the Remote Assessment of Disease and Relapse–Major Depressive Disorder (RADAR-MDD) study [16].
JMIR Mhealth Uhealth 2022;10(1):e28095
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Reference 30: RADAR-Base: open source mobile health platform for collecting, monitoring, and analyzing
JMIR Mhealth Uhealth 2021;9(11):e27674
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The data used in this study were collected from a major EU Innovative Medicines Initiative (IMI) research program Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) [20]. The project aimed to investigate the use of remote measurement technologies (RMTs) to monitor people with depression, epilepsy, and multiple sclerosis in real-world settings.
JMIR Mhealth Uhealth 2021;9(7):e29840
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The data we used in this paper were collected from a major EU Innovative Medicines Initiative research project, Remote Assessment of Disease and Relapse–Central Nervous System (RADAR-CNS) [22]. This project aims to investigate the use of remote measurement technologies to monitor people with depression, epilepsy, and multiple sclerosis in real-world settings.
JMIR Mhealth Uhealth 2021;9(4):e24604
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