Cargando…
Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment
BACKGROUND: eHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical that the designs are intuitive. Limited research exists on...
Autores principales: | Rotondi, Armando J, Grady, Jonathan, Hanusa, Barbara H, Haas, Gretchen L, Spring, Michael R, Abebe, Kaleab Z, Luther, James, Gurklis, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262839/ https://www.ncbi.nlm.nih.gov/pubmed/33759796 http://dx.doi.org/10.2196/23137 |
Ejemplares similares
-
Correction: Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment
por: Rotondi, Armando J, et al.
Publicado: (2021) -
Designing eHealth Applications to Reduce Cognitive Effort for Persons With Severe Mental Illness: Page Complexity, Navigation Simplicity, and Comprehensibility
por: Rotondi, Armando J, et al.
Publicado: (2017) -
What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants
por: Shaw, Tim, et al.
Publicado: (2017) -
Effectiveness of Online Collaborative Care for Treating Mood and Anxiety
Disorders in Primary Care: A Randomized Clinical Trial
por: Rollman, Bruce L., et al.
Publicado: (2017) -
What Is eHealth (6): Perspectives on the Evolution of eHealth Research
por: Ahern, David K, et al.
Publicado: (2006)