The DOI matches its Crossref record; 73 of the 74 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredIn the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Screening for serious mental illness in the general population
Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., Howes, M. J., Normand, S.-L. T., Manderscheid, R. W., Walters, E. E., et al. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.2.184 · Cited by 5,692
The global burden of mental disorders: An update from the WHO World Mental Health (WMH) surveys
Kessler, R. C., Aguilar-Gaxiola, S., Alonso, J., Chatterji, S., Lee, S., Ormel, J., Üstün, T. B., & Wang, P. S. (2009) · Epidemiologia e Psichiatria Sociale · doi:10.1017/s1121189x00001421 · Cited by 1,895
The Effectiveness of Telemental Health: A 2013 Review
Hilty, D. M., Ferrer, D. C., Parish, M. B., Johnston, B., Callahan, E. J., & Yellowlees, P. M. (2013) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0075 · Cited by 1,048
Internet use and stigmatized illness
Berger, M., Wagner, T. H., & Baker, L. C. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.03.025 · Cited by 547
Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia
Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu033 · Cited by 493
Understanding Excess Mortality in Persons With Mental Illness
Druss, B. G., Zhao, L., von Esenwein, S. A., Morrato, E. H., & Marcus, S. C. (2011) · Medical Care · doi:10.1097/mlr.0b013e31820bf86e · Cited by 438
E-Mental Health: A Rapid Review of the Literature
Lal, S., & Adair, C. E. (2014) · Psychiatric Services · doi:10.1176/appi.ps.201300009 · Cited by 417 · cited 1×
“…telehealth interventions involving direct interaction with mental health providers through telepsychiatry, videoconferencing, or other technology-assisted communication tools (Hilty et al., 2013), or they have included articles published only within a limited time frame (Lal & Adair, 2014).”
BackgroundQuality of Preventive Medical Care for Patients With Mental Disorders
Druss, B. G., Rosenheck, R. A., Desai, M. M., & Perlin, J. B. (2002) · Medical Care · doi:10.1097/00005650-200202000-00007 · Cited by 376
Alvarez-Jimenez, M., Alcazar-Corcoles, M. A., González-Blanch, C., Bendall, S., McGorry, P. D., & Gleeson, J. F. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.03.021 · Cited by 351
Naslund, J. A., Grande, S. W., Aschbrenner, K. A., & Elwyn, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110171 · Cited by 331
Self-citation
Research works printed but not linked: 3
- Ainsworth J, 2013, J Med Intern Res, 15, e60
- Dickerson FB, 2003, Med Care, 41, 560
- Pratt SI, 2014, J Ment Health
Cited by
Sorted by citations
Items 301–328 of 328
Khosravi, M., & Azar, G. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.39.pr5
Khosravi, M., & Azar, G. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.39.pr6
Khosravi, M. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.39.pr4
Khosravi, M., & Azar, G. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.39.pr2
Khosravi, M., & Azar, G. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.39.pr3
Ao, S. H., Zhu, Y., Wu, Y., & Zhao, X. (2024) · doi:10.2196/preprints.63518
The Digitalisation of Reinforcement Learning and Token Economy in e-Health
Guarnieri, E., & Cremaschi, M. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-67351-1_29
Evaluating the Potential of Mobile Applications for Mental Health Prediction: A Review
Gupta, S., Vashist, N., Pal, P. K., & Sharma, S. (2024) · Smart innovation, systems and technologies · doi:10.1007/978-981-97-6810-3_4
Support group formation for users with depression in social networks
Yang, X., Li, G., & Noorian, Z. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127107 · Cited by 1
Experiences in Accessing Treatment Among Females with Schizophrenia: A Qualitative Study from Turkey
Aktaş, M. C., & Ayhan, C. H. (2025) · Healthcare · doi:10.3390/healthcare13070721
Interaction in Digital Depression Therapies: A Systematic Review of Treatment ApproachesPreprint
Huang, T., & Liu, W. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5222774
Empowering Patients Through Optimized Wayfinding in Healthcare Environments
Dondapati, A., & Dehury, R. K. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2490394 · Cited by 1
بالي, م. ع. ع. (2025) · مجلة العلوم الاجتماعية والتطبيقية · doi:10.21608/sjst.2025.396289.1065
Lases, M. N., Bruins, J., van Balkom, I. D. C., & Castelein, S. (2025) · doi:10.2196/preprints.83948
Keller-Tuberg, M., Bell, I. H., Wadley, G., Thompson, A. D., & Thomas, N. (2025) · Virtual Worlds · doi:10.3390/virtualworlds4040052
Stentzel, U., van den Berg, N., Moon, K., Schulze, L. N., Schulte, J., Langosch, J. M., Hoffmann, W., & Grabe, H. J. (2021) · Figshare · doi:10.6084/m9.figshare.14880641
Halamová, J., Kanovský, M., & Blaskova, L. J. (2026) · Digital Health · doi:10.1177/20552076251412657
Telemedicine and telehealth on the blockchain
Chatterjee, A., & Das, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-30192-6.00010-0
Al-Ghailani, A., & Simon, M. (2026) · Journal of College Student Mental Health · doi:10.1080/28367138.2026.2637866
Caught in the Act: Predicting Cheating in Unproctored Knowledge AssessmentPreprint
Schroeders, U., Wilhelm, O., & Steger, D. (2020) · OSF Preprints (OSF Preprints)
Tse, S. S.-K., Yuen, W. W. Y., Lo, I. W. K., Johnson, S. L., Michalak, E. E., Clark, L., & Luk, T. S.-K. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-08232-5
Almohammadi, A. A. (2026) · Indian Journal of Psychiatric Nursing · doi:10.4103/iopn.iopn_2_26
Wang, B., Mundal, I. P., Fortuna, K. L., Grønvik, C. K. ., Eines, T. F., & Storm, M. (2026) · Digital Health · doi:10.1177/20552076261469387
Lases, M. N., Bruins, J., van Balkom, I. D. C., & Castelein, S. (2026) · JMIR Formative Research · doi:10.2196/83948
Innovations, implementation, and challenges of mobile health: a narrative review
Li, X., & Huang, Q. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1871930
Koly, K. N., Saba, J., Sarker, F., Rudhsarah, E., Billah, M. A., Muzaffar, R., Mosaddek, N., Mosaddek, A. S. M., & Reidpath, D. D. (2026) · PLOS mental health. · doi:10.1371/journal.pmen.0000715
Larsen, A., Tauscher, J. S., Stemmer, M., Tsai, A., & Ben‐Zeev, D. (2026) · Digital Health · doi:10.1177/20552076261497793
O’Sullivan, C., Coppinger, T. C., Dhanapala, I., Hanrahan, S., Alvey, L., & Merrotsy, A. (2026) · Nutrition Research Reviews · doi:10.1017/s0954422426100559
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 ›
Are you an author, or do you see a problem with this page? Request a review
