TY - JOUR
T1 - Guidelines to Establish an Equitable Mobile Health Ecosystem
AU - Fortuna, Karen L.
AU - Kadakia, Arya
AU - Cosco, Theodore D.
AU - Rotondi, Armando
AU - Nicholson, Joanne
AU - Mois, George
AU - Myers, Amanda L.
AU - Hamilton, Jennifer
AU - Brewer, La Princess C.
AU - Collins-Pisano, Caroline
AU - Barr, Paul
AU - Hudson, Matthew F.
AU - Joseph, Kalisa
AU - Mullaly, Christa
AU - Booth, Mark
AU - Lebby, Stephanie
AU - Walker, Robert
PY - 2023/4/1
Y1 - 2023/4/1
N2 - 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.
AB - 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.
KW - Inequities
KW - mHealth
KW - Mobile health
KW - Quality improvement
KW - Racial-ethnic disparities
UR - http://www.scopus.com/inward/record.url?scp=85145594680&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85145594680&partnerID=8YFLogxK
U2 - 10.1176/appi.ps.202200011
DO - 10.1176/appi.ps.202200011
M3 - Article
C2 - 36377370
AN - SCOPUS:85145594680
SN - 1075-2730
VL - 74
SP - 393
EP - 400
JO - Hospital and Community Psychiatry
JF - Hospital and Community Psychiatry
IS - 4
ER -