Designing m-Health interventions for precision mental health support.
Journal
Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664
Informations de publication
Date de publication:
07 07 2020
07 07 2020
Historique:
received:
15
12
2019
accepted:
28
05
2020
revised:
25
05
2020
entrez:
9
7
2020
pubmed:
9
7
2020
medline:
22
6
2021
Statut:
epublish
Résumé
Mobile health (m-Health) resources are emerging as a significant tool to overcome mental health support access barriers due to their ability to rapidly reach and provide support to individuals in need of mental health support. m-Health provides an approach to adapt and initiate mental health support at precise moments, when they are most likely to be effective for the individual. However, poor adoption of mental health apps in the real world suggests that new approaches to optimising the quality of m-Health interventions are critically needed in order to realise the potential translational benefits for mental health support. The micro-randomised trial is an experimental approach for optimising and adapting m-Health resources. This trial design provides data to construct and optimise m-Health interventions. The data can be used to inform when and what type of m-Health interventions should be initiated, and thus serve to integrate interventions into daily routines with precision. Here, we illustrate this approach in a case study, review implementation issues that need to be considered while conducting an MRT, and provide a checklist for mental health m-Health intervention developers.
Identifiants
pubmed: 32636358
doi: 10.1038/s41398-020-00895-2
pii: 10.1038/s41398-020-00895-2
pmc: PMC7341865
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
222Subventions
Organisme : NIDA NIH HHS
ID : P50 DA039838
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA023187
Pays : United States
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