Cargando…
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder
The use of remote measurement technologies (RMTs) across mobile health (mHealth) studies is becoming popular, given their potential for providing rich data on symptom change and indicators of future state in recurrent conditions such as major depressive disorder (MDD). Understanding recruitment into...
Autores principales: | Oetzmann, Carolin, White, Katie M., Ivan, Alina, Julie, Jessica, Leightley, Daniel, Lavelle, Grace, Lamers, Femke, Siddi, Sara, Annas, Peter, Garcia, Sara Arranz, Haro, Josep Maria, Mohr, David C., Penninx, Brenda W. J. H., Simblett, Sara K., Wykes, Til, Narayan, Vaibhav A., Hotopf, Matthew, Matcham, Faith |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440458/ https://www.ncbi.nlm.nih.gov/pubmed/36057688 http://dx.doi.org/10.1038/s41746-022-00680-z |
Ejemplares similares
-
Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology
por: Leightley, Daniel, et al.
Publicado: (2021) -
Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study
por: Zhang, Yuezhou, et al.
Publicado: (2021) -
Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis
por: White, Katie M, et al.
Publicado: (2023) -
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
por: Sun, Shaoxiong, et al.
Publicado: (2023) -
Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study
por: Matcham, Faith, et al.
Publicado: (2022)