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Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials

BACKGROUND: A single generalizable metric that accurately predicts early dropout from digital health interventions has the potential to readily inform intervention targets and treatment augmentations that could boost retention and intervention outcomes. We recently identified a type of early dropout...

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Detalles Bibliográficos
Autores principales: Bricker, Jonathan, Miao, Zhen, Mull, Kristin, Santiago-Torres, Margarita, Vock, David M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898835/
https://www.ncbi.nlm.nih.gov/pubmed/36662550
http://dx.doi.org/10.2196/43629

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