Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Abstract Recent growth in digital technologies has enabled the recruitment and monitoring of large and diverse populations in remote health studies. However, the generalizability of inference drawn from remotely collected health data could be severely impacted by uneven participant engagement and at...

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Detalhes bibliográficos

Principais autores:	Yuezhou Zhang, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, RADAR-CNS consortium
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2023-02-01
coleção:	npj Digital Medicine
Acesso em linha:	https://doi.org/10.1038/s41746-023-00749-3
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