The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
State of the Field of Mental Health Apps
Open accessAbstract
Mental health apps offer unique opportunities for self-management of mental health and well-being in mobile, cost-effective ways. There is an abundance of apps available to consumers, but selecting a useful one presents a challenge. Most available apps are not supported by empirical evidence and thus consumers have access to a range of unreviewed apps, the benefits of which are not known or supported. While user ratings exist, and are likely to be considered by consumers when selecting an app, they do not actually yield information on app suitability. A possible alternative way for consumers to choose an app would be to use an app review platform. A number of attempts have been made to construct such a platform, and this paper introduces PsyberGuide, which offers a step towards providing objective and actionable information for publicly available mental health apps.
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“The time and resources required for planning and undertaking an RCT are not always appropriate for the assessment of dMH tools due to their rapid development and the accelerating time to the obsolescence of technological innovations [9,22,23].”
From Feasibility and Acceptability of the Aboriginal and Islander Mental Health Initiative for Youth App: Nonrandomized Pilot With First Nations Young People (2023) · cites this paper as [9]
Experimental — accuracy not yet measuredIn the citing paper
“There is currently somewhere between 10,000 and 20,000 mental health apps [23,24], but it is estimated that only about 3% to 4% are actually evidence based.”
From Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses (2020) · cites this paper as [24]
In the citing paper
“There is currently somewhere between 10,000 and 20,000 mental health apps [23,24], but it is estimated that only about 3% to 4% are actually evidence based.”
From Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses (2020) · cites this paper as [24]
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Cites
Mobile app rating scale: a new tool for assessing the quality of health mobile apps
Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D., & Mani, M. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3422 · Cited by 2,233
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017) · World Psychiatry · doi:10.1002/wps.20472 · Cited by 1,097
Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2583 · Cited by 895
Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.046 · Cited by 675
Review and evaluation of mindfulness-based iPhone apps
Mani, M., Kavanagh, D. J., Hides, L., & Stoyanov, S. R. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4328 · Cited by 495
Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality
Nicholas, J., Larsen, M. E., Proudfoot, J., & Christensen, H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4581 · Cited by 438
The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
Arean, P. A., Hallgren, K. A., Jordan, J. T., Gazzaley, A., Atkins, D. C., Heagerty, P. J., & Anguera, J. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.6482 · Cited by 376
Powell, A. C., Landman, A., & Bates, D. W. (2014) · JAMA · doi:10.1001/jama.2014.2564 · Cited by 236
Anxiety: There is an app for that. A systematic review of anxiety apps: SUCALA et al.
Sucala, M., Cuijpers, P., Muench, F., Cardoș, R., Soflau, R., Dobrean, A., Achimas-Cadariu, P., & David, D. (2017) · Depression and Anxiety · doi:10.1002/da.22654 · Cited by 232
Torous, J., Chan, S. R., Yee-Marie Tan, S., Behrens, J., Mathew, I., Conrad, E. J., Hinton, L., Yellowlees, P., & Keshavan, M. (2014) · JMIR Mental Health · doi:10.2196/mental.4004 · Cited by 228
Flagged first, then by citations
1 of the 25 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Ben-Zeev, D., Brian, R. M., Jonathan, G., Razzano, L., Pashka, N., Carpenter-Song, E. A., Drake, R. E., & Schrer, E. A. (in press). Randomized controlled trial of mHealth vs. clinic-based interventions for serious mental illness: Patient engagement, satisfaction, and clinical outcomes. Schizophrenia Bulletin.
Cited by
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Six Human-Centered Artificial Intelligence Grand Challenges
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2153320 · Cited by 501
“AI has been incorporated into digital interventions, particularly web and smartphone apps, to enhance user experience and optimize personalized mental health care (Neary & Schueller, 2018), and has been used to develop prediction/detection models for mental health conditions (Carr, 2020).”
Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses
Lecomte, T., Potvin, S., Corbière, M., Guay, S., Samson, C., Cloutier, B., Francoeur, A., Pennou, A., & Khazaal, Y. (2020) · JMIR mHealth and uHealth · doi:10.2196/17458 · Cited by 336
“There is currently somewhere between 10,000 and 20,000 mental health apps [23,24], but it is estimated that only about 3% to 4% are actually evidence based.”
BackgroundPerceptions and opinions of patients about mental health chatbots: scoping review
Abd-Alrazaq, A. A., Alajlani, M., Ali, N., Denecke, K., Bewick, B. M., & Househ, M. (2021) · Journal of Medical Internet Research · doi:10.2196/17828 · Cited by 301
From promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251
Reviewing the data security and privacy policies of mobile apps for depression
O'Loughlin, K., Neary, M., Adkins, E. C., & Schueller, S. M. (2019) · Internet Interventions · doi:10.1016/j.invent.2018.12.001 · Cited by 179
Self-citation
Metadata
- Authors
- Neary, M., & Schueller, S. M.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Schueller, Stephen M.
- Venue
- Cognitive and Behavioral Practice
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 25
- Issue
- 4
- Pages
- 531-537
- ISSN
- 1077-7229 (ISSN-L)
- PMC
- PMC7584258
- OpenAlex
- W2789479890
- Cited by
- 247
- References
- 25
- Citations by year
- 2026: 19 · 2025: 30 · 2024: 28 · 2023: 44 · 2022: 39 · 2021: 37 · 2020: 24 · 2019: 18 · 2018: 7
- FWCI
- 26.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cognitive and Behavioral Practice (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (K08MH102336)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mental health apps, app selection, user ratings, mobile mental health
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