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

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 attrition o...

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Detalles Bibliográficos
Autores principales: Zhang, Yuezhou, Pratap, Abhishek, Folarin, Amos A., Sun, Shaoxiong, Cummins, Nicholas, Matcham, Faith, Vairavan, Srinivasan, Dineley, Judith, Ranjan, Yatharth, Rashid, Zulqarnain, Conde, Pauline, Stewart, Callum, White, Katie M., Oetzmann, Carolin, Ivan, Alina, Lamers, Femke, Siddi, Sara, Rambla, Carla Hernández, Simblett, Sara, Nica, Raluca, Mohr, David C., Myin-Germeys, Inez, Wykes, Til, Haro, Josep Maria, Penninx, Brenda W. J. H., Annas, Peter, Narayan, Vaibhav A., Hotopf, Matthew, Dobson, Richard J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938183/
https://www.ncbi.nlm.nih.gov/pubmed/36806317
http://dx.doi.org/10.1038/s41746-023-00749-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938183/
https://www.ncbi.nlm.nih.gov/pubmed/36806317
http://dx.doi.org/10.1038/s41746-023-00749-3

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