Cargando…
A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study
BACKGROUND: Despite the growing number of mental health apps available for smartphones, the perceived usability of these apps from the perspectives of end users or health care experts has rarely been reported. This information is vital, particularly for self-guided mHealth interventions, as percepti...
Autores principales: | Fuller-Tyszkiewicz, Matthew, Richardson, Ben, Klein, Britt, Skouteris, Helen, Christensen, Helen, Austin, David, Castle, David, Mihalopoulos, Cathrine, O'Donnell, Renee, Arulkadacham, Lilani, Shatte, Adrian, Ware, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127496/ https://www.ncbi.nlm.nih.gov/pubmed/30139722 http://dx.doi.org/10.2196/mental.9445 |
Ejemplares similares
-
Optimizing prediction of binge eating episodes: a comparison approach to test alternative conceptualizations of the affect regulation model
por: Fuller-Tyszkiewicz, Matthew, et al.
Publicado: (2014) -
Body image during pregnancy: an evaluation of the suitability of the body attitudes questionnaire
por: Fuller-Tyszkiewicz, Matthew, et al.
Publicado: (2012) -
Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial
por: Davis, Deborah, et al.
Publicado: (2018) -
An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms
por: Linardon, Jake, et al.
Publicado: (2022) -
A broad v. focused digital intervention for recurrent binge eating: a randomized controlled non-inferiority trial
por: Linardon, Jake, et al.
Publicado: (2023)