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Guidelines to Establish an Equitable Mobile Health Ecosystem.

Authors :
Fortuna KL
Kadakia A
Cosco TD
Rotondi A
Nicholson J
Mois G
Myers AL
Hamilton J
Brewer LC
Collins-Pisano C
Barr P
Hudson MF
Joseph K
Mullaly C
Booth M
Lebby S
Walker R
Source :
Psychiatric services (Washington, D.C.) [Psychiatr Serv] 2023 Apr 01; Vol. 74 (4), pp. 393-400. Date of Electronic Publication: 2022 Nov 15.
Publication Year :
2023

Abstract

Mobile health (mHealth)-that is, use of mobile devices, such as mobile phones, monitoring devices, personal digital assistants, and other wireless devices, in medical care-is a promising approach to the provision of support services. mHealth may aid in facilitating monitoring of mental health conditions, offering peer support, providing psychoeducation (i.e., information about mental health conditions), and delivering evidence-based practices. However, some groups may fail to benefit from mHealth despite a high need for mental health services, including people from racially and ethnically disadvantaged groups, rural residents, individuals who are socioeconomically disadvantaged, and people with disabilities. A well-designed mHealth ecosystem that considers multiple elements of design, development, and implementation can afford disadvantaged populations the opportunity to address inequities and facilitate access to and uptake of mHealth. This article proposes inclusion of the following principles and standards in the development of an mHealth ecosystem of equity: use a human-centered design, reduce bias in machine-learning analytical techniques, promote inclusivity via mHealth design features, facilitate informed decision making in technology selection, embrace adaptive technology, promote digital literacy through mHealth by teaching patients how to use the technology, and facilitate access to mHealth to improve health outcomes.

Details

Language :
English
ISSN :
1557-9700
Volume :
74
Issue :
4
Database :
MEDLINE
Journal :
Psychiatric services (Washington, D.C.)
Publication Type :
Academic Journal
Accession number :
36377370
Full Text :
https://doi.org/10.1176/appi.ps.202200011