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Guidelines to Establish an Equitable Mobile Health Ecosystem
Karen L Fortuna1, Arya Kadakia1, Theodore D Cosco1
1Department of Psychiatry (Fortuna) and Center for Technology and Behavioral Health (Barr), Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; BRITE Center, University of Washington, Seattle (Kadakia); Gerontology Research Centre, Simon Fraser University, Vancouver, and Oxford Institute of Population Ageing, University of Oxford, Oxford (Cosco); Center for Health Equity Research and Promotion, Mental Illness Research, Education and Clinical Center, Department of Veterans Affairs Pittsburgh Health Care System, and Center for Behavioral Health, Media, and Technology, University of Pittsburgh, Pittsburgh (Rotondi); Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts (Nicholson, Myers); School of Social Work, University of Illinois, Urbana (Mois); College of Applied Health Sciences Human Factors and Aging Laboratory, University of Illinois, Champaign (Mois); College of Social Work, University of Kentucky, Lexington (Hamilton); Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, and Center for Health Equity and Community Engagement Research, Mayo Clinic, Rochester, Minnesota (Brewer); Psychology Department, University of Colorado, Colorado Springs (Collins-Pisano); Department of Medicine, University of South Carolina School of Medicine, and Prisma Health, Greenville (Hudson); Centre for Mental Health, University of Rwanda, Kigali (Joseph); Psychiatric Rehabilitation Division, Vinfen, Cambridge, Massachusetts (Mullaly); Clarity Health, Nashua, New Hampshire (Booth); College of Nursing and Health Sciences, University of Vermont, Burlington (Lebby); Office of Recovery and Empowerment, Massachusetts Department of Mental Health, Boston (Walker).
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.
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