The healthy moms and babies app to prevent postpartum depression: analysis of user-profiles and dropout cases
IntroductionPerinatal depression affects mothers, babies and society. Preventive interventions are needed, but face barriers to access. E-health interventions could be an effective and accessible option. To date, few studies have attempted to understand the use of mobile health (m-health) applicatio...
Main Authors: | María F. Rodriguez-Muñoz, Katina Kovacheva, Helena S. García-López, Huynh-Nhu Le, Natalia Ruiz, Maria Eugenia Olivares, Nuria Izquierdo Mendez, Pluvio Coronado |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-09-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1186963/full |
Similar Items
-
Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks
by: Christos Avgerinos, et al.
Published: (2023-01-01) -
Keeping students in school : a guide to effective dropout prevention programs and services /
by: 362724 Orr, Margaret Terry
Published: (1987) -
Psychometric properties of a dropout prediction tool for students in Andalusia
by: Antonio Hernández-Fernández, et al.
Published: (2023-07-01) -
Reframing School Dropout as a Public Health Issue
by: Nicholas Freudenberg, DrPH, et al.
Published: (2007-10-01) -
Boys in poverty : a framework for understanding dropout /
by: 504900 Payne, Ruby K., et al.
Published: (2010)