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Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature
Open accessAbstract
BACKGROUND: Serious mental illness (SMI) is one of the leading causes of disability worldwide. Emerging mobile health (mHealth) and eHealth interventions may afford opportunities for reaching this at-risk group. AIM: To review the evidence on using emerging mHealth and eHealth technologies among people with SMI. METHODS: We searched MEDLINE, PsychINFO, CINAHL, Scopus, Cochrane Central, and Web of Science through July 2014. Only studies which reported outcomes for mHealth or eHealth interventions, defined as remotely delivered using mobile, online, or other devices, targeting people with schizophrenia, schizoaffective disorder, or bipolar disorder, were included. RESULTS: Forty-six studies spanning 12 countries were included. Interventions were grouped into four categories: (1) illness self-management and relapse prevention; (2) promoting adherence to medications and/or treatment; (3) psychoeducation, supporting recovery, and promoting health and wellness; and (4) symptom monitoring. The interventions were consistently found to be highly feasible and acceptable, though clinical outcomes were variable but offered insight regarding potential effectiveness. CONCLUSIONS: Our findings confirm the feasibility and acceptability of emerging mHealth and eHealth interventions among people with SMI; however, it is not possible to draw conclusions regarding effectiveness. Further rigorous investigation is warranted to establish effectiveness and cost benefit in this population.
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“Many studies, largely from higher income countries, have demonstrated the acceptability and early effectiveness of digital technologies, such as mobile phones, telepsychiatry applications, online programs or remote sensors, for improving the quality, reach and impact of mental health care.17”
From Digital Technology for Building Capacity of Nonspecialist Health Workers for Task Sharing and Scaling Up Mental Health Care Globally (2019) · cites this paper as [17]
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“Ecological Momentary Interventions (EMIs) (Heron and Smyth, 2010) and mental health (mHealth) applications (Naslund et al., 2015) are innovative approaches to provide psychological support through mobile devices in everyday life, without necessarily involving the presence of a real therapist or a face-to-face clinical setting.”
From New Technologies for the Understanding, Assessment, and Intervention of Emotion Regulation (2019) · cites this paper as Naslund et al., 2015
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Metadata
- Authors
- Naslund, J. A., Marsch, L. A., McHugo, G. J., & Bartels, S. J.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Naslund, John A.
- Venue
- Journal of Mental Health
- Publisher
- Informa UK Limited
- Published
- 2015-05-28
- Volume
- 24
- Issue
- 5
- Pages
- 321-332
- ISSN
- 0963-8237 (ISSN-L)
- 1360-0567
- PMC
- PMC4924808
- OpenAlex
- W1771428564
- Semantic Scholar
- c8fe2f882a6b2e11a4b4c37bff2a15849392b7d1
- Cited by
- 327
- References
- 74
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 23 · 2023: 25 · 2022: 26 · 2021: 32 · 2020: 54 · 2019: 39 · 2018: 41 · 2017: 30 · 2016: 21 · 2015: 4
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Mental Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH104555)
- National Center for Chronic Disease Prevention and Health Promotion (U48DP005018)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- severe mental illness, mobile health, digital health interventions, schizophrenia, schizoaffective disorder, bipolar disorder, illness self-management, relapse prevention, medication adherence, psychoeducation, recovery, symptom monitoring, feasibility and acceptability, digital mental health
- MeSH terms
- Mental Disorders, Bipolar Disorder, Feasibility Studies, Health Promotion, Humans, Health Knowledge, Attitudes, Practice, Mental Health Services, Psychotic Disorders, Schizophrenia, Telemedicine, Medication Adherence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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