Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

BMC Psychiatry

on behalf of the RADAR-CNS consortium¹  David C. Mohr²  Inez Myin-Germeys³  Aki Rintala³  Nick Cummins⁴  Amos A. Folarin⁴  Richard J. B. Dobson⁴  Yatharth Ranjan⁴  Pauline Conde⁴  Zulqarnain Rashid⁴  Callum Stewart⁴  Sonia Difrancesco⁵  Brenda W. J. H. Penninx⁵  Femke Lamers⁵  Melany Horsfall⁵  Jens Christian Brasen⁶  Peter Annas⁶  Giovanni de Girolamo⁷  Matthew Hotopf⁸  Til Wykes⁸  Sara K. Simblett⁸  Grace Lavelle⁸  Daniel Leightley⁸  Alina Ivan⁸  Katie M. White⁸  Faith Matcham⁸  Carolin Oetzmann⁸  Nikolay V. Manyakov⁹  Qingqin Li^1,10  Vaibhav A. Narayan^1,10  Srinivasan Vairavan^1,10  Sara Siddi^1,11  Federica Lombardini^1,11  Josep Maria Haro^1,11  Raluca Nica^1,12  Stuart Bruce^1,12 

[1] ;Center for Behavioral Intervention Technologies, Department of Preventative Medicine, Northwestern University;Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven;Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London;Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit;H. Lundbeck A/S;IRCCS Instituto Centro San Giovanni di Dio Fatebenefratelli;Institute of Psychiatry, Psychology and Neuroscience, King’s College London;Janssen Pharmaceutica NV;Janssen Research and Development, LLC;Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona;RADAR-CNS Patient Advisory Board, King’s College London;

关键词: Major depressive disorder;    Remote measurement technologies;    Longitudinal;    Multicentre;    Cohort study;   

DOI  :  10.1186/s12888-022-03753-1

来源: DOAJ

【 摘 要 】

Abstract Background Major Depressive Disorder (MDD) is prevalent, often chronic, and requires ongoing monitoring of symptoms to track response to treatment and identify early indicators of relapse. Remote Measurement Technologies (RMT) provide an opportunity to transform the measurement and management of MDD, via data collected from inbuilt smartphone sensors and wearable devices alongside app-based questionnaires and tasks. A key question for the field is the extent to which participants can adhere to research protocols and the completeness of data collected. We aimed to describe drop out and data completeness in a naturalistic multimodal longitudinal RMT study, in people with a history of recurrent MDD. We further aimed to determine whether those experiencing a depressive relapse at baseline contributed less complete data. Methods Remote Assessment of Disease and Relapse – Major Depressive Disorder (RADAR-MDD) is a multi-centre, prospective observational cohort study conducted as part of the Remote Assessment of Disease and Relapse – Central Nervous System (RADAR-CNS) program. People with a history of MDD were provided with a wrist-worn wearable device, and smartphone apps designed to: a) collect data from smartphone sensors; and b) deliver questionnaires, speech tasks, and cognitive assessments. Participants were followed-up for a minimum of 11 months and maximum of 24 months. Results Individuals with a history of MDD (n = 623) were enrolled in the study,. We report 80% completion rates for primary outcome assessments across all follow-up timepoints. 79.8% of people participated for the maximum amount of time available and 20.2% withdrew prematurely. We found no evidence of an association between the severity of depression symptoms at baseline and the availability of data. In total, 110 participants had > 50% data available across all data types. Conclusions RADAR-MDD is the largest multimodal RMT study in the field of mental health. Here, we have shown that collecting RMT data from a clinical population is feasible. We found comparable levels of data availability in active and passive forms of data collection, demonstrating that both are feasible in this patient group.

【 授权许可】

Unknown