The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Mental health: There’s an app for that
Open accessOverview
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
“the majority of research published in this field are pilot studies with no comparison group or randomized studies [Randomized controled trials (RCTs)] that have not yet been replicated (89).”
From Mobile intervention for individuals with psychosis, dual disorders, and their common comorbidities: A literature review (2019) · cites this paper as [89]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Some authors also link the lack of consistency in the security of applications to the fact that government regulations in this field are sometimes ambiguous—e.g., an application pretending to cure a condition will not be subject to the same level of evaluation as an application designed to “improve mood” (89).”
From Mobile intervention for individuals with psychosis, dual disorders, and their common comorbidities: A literature review (2019) · cites this paper as [89]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Given the rapid penetration of smartphones in Latin America and elsewhere, the integration of app-based interventions may offer the potential to provide more widely distributed mental health care [53].”
In the citing paper
“mental health services do not reach about 55% and 85% of people in developed and developing countries, respectively [9].”
From An overview of the features of chatbots in mental health: A scoping review (2019) · cites this paper as [9]
In the citing paper
“According to the World Health Organization [9], 29% of the 15,000 mobile health apps focused on mental health.”
From An overview of the features of chatbots in mental health: A scoping review (2019) · cites this paper as [9]
In the citing paper
“approximately one-third of all health-related apps are on mental health topics (12).”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
In the citing paper
“there are still a number of challenges to be faced by this rapidly growing industry, in particular those related to the evaluation of these products and interventions affecting countries at all levels of development (12, 13).”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
In the citing paper
“Given the sharp increase in Internet access and the rapid penetration of smartphones in Latin America and elsewhere (12)”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
In the citing paper
“The accumulating evidence shows promising results but with important challenges that are not different to those found elsewhere in the world (11–16).”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
In the citing paper
“Although the penetration of technology and its application to health has been swift in all countries regardless of their level of development (12)”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
In the citing paper
“This is not an issue just affecting Latin America but the field in general (12).”
From Internet-Based Interventions for the Prevention and Treatment of Mental Disorders in Latin America: A Scoping Review (2019) · cites this paper as [12]
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
The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu038 · Cited by 2,846
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136
Martínez-Pérez, B., de la Torre-Díez, I., & López-Coronado, M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2600 · Cited by 550
Espie, C. A., Kyle, S. D., Williams, C., Ong, J. C., Douglas, N. J., Hames, P., & Brown, J. S. L. (2012) · Sleep · doi:10.5665/sleep.1872 · Cited by 550
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
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
Huckvale, K., Prieto, J. T., Tilney, M., Benghozi, P.-J., & Car, J. (2015) · BMC Medicine · doi:10.1186/s12916-015-0444-y · Cited by 376
CBT for depression: a pilot RCT comparing mobile phone vs. computer
Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., & Andrews, G. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-49 · Cited by 329
Preliminary Evaluation of PTSD Coach, a Smartphone App for Post-Traumatic Stress Symptoms
Kuhn, E. R., Greene, C. A., Hoffman, J. E., Nguyen, T., Wald, L., Schmidt, J. A., Ramsey, K. M., & Ruzek, J. I. (2014) · Military Medicine · doi:10.7205/milmed-d-13-00271 · Cited by 288
Gajecki, M., Berman, A. H., Sinadinovic, K., Rosendahl, I., & Andersson, C. (2014) · Addiction Science & Clinical Practice · doi:10.1186/1940-0640-9-11 · Cited by 179
Flagged first, then by citations
Research works printed but not linked: 2
- Beiwinkel, T. et al. J. Med. Internet Res. 3, e23 (2016).
- Birney, A. J., Gunn, R., Russell, J. K. & Ary, D. V. J. Med. Internet Res. 4, e8 (2016).
Cited by
Sorted by citations
Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30168-1 · Cited by 5,715
Objective user engagement with mental health apps: systematic search and panel-based usage analysis
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019) · Journal of Medical Internet Research · doi:10.2196/14567 · Cited by 965
Large-scale physical activity data reveal worldwide activity inequality
Althoff, T., Sosič, R., Hicks, J. L., King, A. C., Delp, S. L., & Leskovec, J. (2017) · Nature · doi:10.1038/nature23018 · Cited by 1,000
An overview of the features of chatbots in mental health: A scoping review
Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.103978 · Cited by 605
The Lancet Psychiatry Commission on psychological treatments research in tomorrow's science
Holmes, E. A., Ghaderi, A., Harmer, C. J., Ramchandani, P. G., Cuijpers, P., Morrison, A. P., Roiser, J. P., Bockting, C. L. H., O'Connor, R. C., Shafran, R., et al. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30513-8 · Cited by 624
Mental Health Mobile Apps for Preadolescents and Adolescents: A Systematic Review.
Grist, R., Porter, J., & Stallard, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7332 · Cited by 518
Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020) · Journal of Medical Internet Research · doi:10.2196/16021 · Cited by 503
“This could be a major factor contributing to the increase in suicidal behavior in recent decades [10].”
Artificially intelligent chatbots in digital mental health interventions: a review
Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.2013200 · Cited by 440
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
Virtual reality exposure therapy for social anxiety disorder: A randomized controlled trial.
Anderson, P. L., Price, M., Edwards, S. M., Obasaju, M. A., Schmertz, S. K., Zimand, E., & Calamaras, M. R. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0033559 · Cited by 371
Chandrashekar, P. (2018) · mHealth · doi:10.21037/mhealth.2018.03.02 · Cited by 359
Perceptions 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
Wang, K., Varma, D. S., & Prosperi, M. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.10.006 · Cited by 308
Responsible AI—two frameworks for ethical design practice
Peters, D., Vold, K., Robinson, D., & Calvo, R. A. (2020) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2020.2974991 · Cited by 293
Usability of Commercially Available Mobile Applications for Diverse Patients
Sarkar, U., Gourley, G. I., Lyles, C. R., Tieu, L., Clarity, C., Newmark, L., Singh, K., & Bates, D. W. (2016) · Journal of General Internal Medicine · doi:10.1007/s11606-016-3771-6 · Cited by 257
A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test
Denecke, K., Vaaheesan, S., & Arulnathan, A. (2020) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2020.2974478 · Cited by 262
To chat or bot to chat: Ethical issues with using chatbots in mental health
Coghlan, S., Leins, K., Sheldrick, S., Cheong, M., Gooding, P., & D'Alfonso, S. (2023) · DIGITAL HEALTH · doi:10.1177/20552076231183542 · Cited by 215
Torous, J., Wisniewski, H., Bird, B., Carpenter, E., David, G., Elejalde, E., Fulford, D., Guimond, S., Hays, R., Henson, P., et al. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00095-w · Cited by 202
Martinez-Martin, N., & Kreitmair, K. (2018) · JMIR Mental Health · doi:10.2196/mental.9423 · Cited by 221
Mantani, A., Kato, T., Furukawa, T. A., Horikoshi, M., Imai, H., Hiroe, T., Chino, B., Funayama, T., Yonemoto, N., Zhou, Q., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8602 · Cited by 192
By the numbers: ratings and utilization of behavioral health mobile applications
Carlo, A. D., Hosseini Ghomi, R., Renn, B. N., & Areán, P. A. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0129-6 · Cited by 164
Batra, S., Baker, R., Wang, T., Forma, F., DiBiasi, F., & Peters-Strickland, T. (2017) · Medical Devices: Evidence and Research · doi:10.2147/mder.s144158 · Cited by 169
Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
Denecke, K., Abd-Alrazaq, A., & Househ, M. (2021) · Lecture Notes in Bioengineering · doi:10.1007/978-3-030-67303-1_10 · Cited by 177
Dogan, E., Sander, C., Wagner, X., Hegerl, U., & Kohls, E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7006 · Cited by 177
Wasil, A. R., Venturo-Conerly, K. E., Shingleton, R. M., & Weisz, J. R. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103498 · Cited by 160
Acheampong, R. A., & Siiba, A. (2019) · Transportation · doi:10.1007/s11116-019-10029-3 · Cited by 161
A Review of the Quality and Impact of Mobile Health Apps
Grundy, Q. (2021) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-052020-103738 · Cited by 167
Psychosocial issues in isolated and confined extreme environments
Palinkas, L. A., & Suedfeld, P. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.032 · Cited by 166
Jungmann, S. M., Klan, T., Kuhn, S., & Jungmann, F. (2019) · JMIR Formative Research · doi:10.2196/13863 · Cited by 127
Baumel, A., Edan, S., & Kane, J. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz147 · Cited by 143
Mapping global variation in human mobility
Kraemer, M. U. G., Sadilek, A., Zhang, Q., Marchal, N., Tuli, G., Cohn, E. L., Hswen, Y., Perkins, T. A., Smith, D. L., Reiner, R. C., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0875-0 · Cited by 137
Ethical perspectives on recommending digital technology for patients with mental illness
Bauer, M., Glenn, T., Monteith, S., Bauer, R., Whybrow, P. C., & Geddes, J. R. (2017) · International Journal of Bipolar Disorders · doi:10.1186/s40345-017-0073-9 · Cited by 137
Faurholt‐Jepsen, M., Frost, M. M., Christensen, E. M., Bardram, J. E., Vinberg, M., & Kessing, L. V. (2019) · Psychological Medicine · doi:10.1017/s0033291719000710 · Cited by 129
Van Daele, T., Karekla, M., Kassianos, A. P., Compare, A., Haddouk, L., Salgado, J., Ebert, D. D., Trebbi, G., Bernaerts, S., Van Assche, E., et al. (2020) · Journal of Psychotherapy Integration · doi:10.1037/int0000218 · Cited by 122
Cooper, M., Reilly, E. E., Siegel, J. A., Coniglio, K., Sadeh-Sharvit, S., Pisetsky, E. M., & Anderson, L. M. (2022) · Eating Disorders · doi:10.1080/10640266.2020.1790271 · Cited by 209
Iorfino, F., Cross, S. P., Davenport, T., Carpenter, J. S., Scott, E., Shiran, S., & Hickie, I. B. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00595 · Cited by 125
The use of commercial computerised cognitive games in older adults: a meta-analysis
Bonnechère, B., Langley, C., & Sahakian, B. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-72281-3 · Cited by 124
McCloud, T. L., Jones, R., Lewis, G., Bell, V., & Tsakanikos, E. (2020) · JMIR mhealth and uhealth · doi:10.2196/15418 · Cited by 133
A review of mobile chatbot apps for anxiety and depression and their self-care features
Ahmed, A., Ali, N., Aziz, S., Abd-alrazaq, A. A., Hassan, A., Khalifa, M., Elhusein, B., Ahmed, M., Ahmed, M. A. S., & Househ, M. (2021) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2021.100012 · Cited by 112
Chan, A. H. Y., & Honey, M. L. L. (2021) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12744 · Cited by 130
Robillard, J. M., Feng, T. L., Sporn, A. B., Lai, J.-A., Lo, C., Ta, M., & Nadler, R. (2019) · Internet Interventions · doi:10.1016/j.invent.2019.100243 · Cited by 111
Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review
Vial, S., Boudhraâ, S., & Dumont, M. (2022) · JMIR Mental Health · doi:10.2196/35591 · Cited by 133
Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review
Denecke, K., Schmid, N., & Nüssli, S. (2022) · Journal of Medical Internet Research · doi:10.2196/27791 · Cited by 107
A Smartphone App (BlueIce) for Young People Who Self-Harm: Open Phase 1 Pre-Post Trial
Stallard, P., Porter, J., & Grist, R. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8917 · Cited by 103
AI-Based and Digital Mental Health Apps: Balancing Need and Risk
Hamdoun, S., Monteleone, R., Bookman, T., & Michael, K. (2023) · IEEE Technology and Society Magazine · doi:10.1109/mts.2023.3241309 · Cited by 104
Grist, R., Porter, J., & Stallard, P. (2018) · JMIR Mental Health · doi:10.2196/mental.8779 · Cited by 86
Smartphone-based objective monitoring in bipolar disorder: status and considerations
Faurholt‐Jepsen, M., Bauer, M., & Kessing, L. V. (2018) · International Journal of Bipolar Disorders · doi:10.1186/s40345-017-0110-8 · Cited by 104
Serrano-Ripoll, M. J., Zamanillo-Campos, R., Fiol-DeRoque, M. A., Castro, A., & Ricci-Cabello, I. (2022) · JMIR mHealth and uHealth · doi:10.2196/29621 · Cited by 96
Designing m-Health interventions for precision mental health support
Bidargaddi, N., Schrader, G., Klasnja, P., Licinio, J., & Murphy, S. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00895-2 · Cited by 92
Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis
Peng, C., He, M., Cutrona, S. L., Kiefe, C. I., Liu, F., & Wang, Z. (2020) · JMIR mhealth and uhealth · doi:10.2196/18212 · Cited by 93
Jiménez-Molina, Á., Franco, P., Martínez, V., Martínez, P., Rojas, G., & Araya, R. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00664 · Cited by 85
Detecting the impact of subject characteristics on machine learning-based diagnostic applications
Chaibub Neto, E., Pratap, A., Perumal, T. M., Tummalacherla, M., Snyder, P., Bot, B. M., Trister, A. D., Friend, S. H., Mangravite, L., & Omberg, L. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0178-x · Cited by 83
The utility of smartphone-based, ecological momentary assessment for depressive symptoms
Yim, S. J., Lui, L. M. W., Lee, Y. L., Rosenblat, J. D., Ragguett, R., Park, C., Subramaniapillai, M., Cao, B., Zhou, A. J., Rong, C., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.116 · Cited by 89
Predicting anxiety state using smartphone-based passive sensing
Fukazawa, Y., Ito, T., Okimura, T., Yamashita, Y., Maeda, T., & Ota, J. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103151 · Cited by 81
Chatbot features for anxiety and depression: a scoping review
Ahmed, A., Hassan, A., Aziz, S., Abd-alrazaq, A. A., Ali, N., Alzubaidi, M., Al-Thani, D., Elhusein, B., Siddig, M. A., Ahmed, M., et al. (2023) · Health Informatics Journal · doi:10.1177/14604582221146719 · Cited by 82
Digital Psychiatry: Risks and Opportunities for Public Health and Wellbeing
Burr, C., Morley, J., Taddeo, M., & Floridi, L. (2020) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2020.2977059 · Cited by 85
Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being
Woodward, K., Kanjo, E., Brown, D. J., McGinnity, T. M., Inkster, B., Macintyre, D. J., & Tsanas, A. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3015018 · Cited by 18
Brooks, S. J., Wiemerslage, L., Burch, K. H., Maiorana, S. A., Cocolas, E., Schiöth, H. B., Kamaloodien, K., & Stein, D. J. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4597-6 · Cited by 79
How Well iPhones Measure Steps in Free-Living Conditions: Cross-Sectional Validation Study
Amagasa, S., Kamada, M., Sasai, H., Fukushima, N., Kikuchi, H., Lee, I.-M. M., & Inoue, S. (2019) · JMIR mhealth and uhealth · doi:10.2196/10418 · Cited by 73
Hoffman, L., Benedetto, E., Huang, H. Y., Grossman, E., Kaluma, D., Mann, Z., & Torous, J. B. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00094 · Cited by 69
Owen, J. E., Kuhn, E. R., Jaworski, B. K., McGee-Vincent, P. A., Juhasz, K. M., Hoffman, J. E., & Rosen, C. S. (2018) · mHealth · doi:10.21037/mhealth.2018.05.07 · Cited by 67
The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews
Khademian, F., Aslani, A., & Bastani, P. (2021) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462320002093 · Cited by 62
Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19
Skorburg, J. A., & Yam, J. (2021) · AJOB Neuroscience · doi:10.1080/21507740.2021.1918284 · Cited by 65
Connolly, S. L., Miller, C. J., Koenig, C. J., Zamora, K. A., Wright, P. B., Stanley, R. L., & Pyne, J. M. (2018) · JMIR mHealth and uHealth · doi:10.2196/10748 · Cited by 63
A digital health industry cohort across the health continuum
Cohen, A. B., Dorsey, E. R., Mathews, S. C., Bates, D. W., & Safavi, K. C. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0276-9 · Cited by 66
Human-Human vs Human-AI Therapy: An Empirical Study
Kuhail, M. A., Alturki, N. M., Thomas, J., Alkhalifa, A. K., & Alshardan, A. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2385001 · Cited by 80
Rojas, G., Martínez, V., Martínez, P., Franco, P., & Jiménez-Molina, Á. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00391 · Cited by 70
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Wang, Z., Xiong, H., Zhang, J., Yang, S., Boukhechba, M., Zhang, D., Barnes, L. E., & Dou, D. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3161046 · Cited by 63
Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data
Scherer, E. A., Ben‐Zeev, D., Li, Z., & Kane, J. M. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6474 · Cited by 61
The Future of Digital Psychiatry
Hariman, K. W., Ventriglio, A., & Bhugra, D. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1074-4 · Cited by 64
López‐Rodriguez, M. M., Fernández-Millan, A., Fernández, M. D. R., Dobarrio‐Sanz, I., & Fernández‐Medina, I. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103563 · Cited by 61
Wild, J., Greenberg, N. L., Moulds, M. L., Sharp, M., Fear, N. T., Harvey, S. B., Wessely, S. C., & Bryant, R. A. (2020) · Psychiatry · doi:10.1080/00332747.2020.1750215 · Cited by 81
Extending the framework for mobile health information systems Research: A content analysis
Miah, S. J., Gammack, J. G., & Hasan, N. (2017) · Information Systems · doi:10.1016/j.is.2017.04.001 · Cited by 61
Davenport, T. A., Cheng, V. W. S., Iorfino, F., Hamilton, B. A., Castaldi, E., Burton, A. L., Scott, E. M., & Hickie, I. B. (2020) · JMIR Mental Health · doi:10.2196/24578 · Cited by 57
Emotion dynamics and tinnitus: Daily life data from the “TrackYourTinnitus” application
Probst, T., Pryss, R. C., Langguth, B., & Schlee, W. (2016) · Scientific Reports · doi:10.1038/srep31166 · Cited by 60
Sweetland, A. C., Pala, A. N., Mootz, J. J., Kao, J. C., Carlson, C., Oquendo, M. A., Cheng, B., Belkin, G. S., & Wainberg, M. L. (2018) · International Journal of Social Psychiatry · doi:10.1177/0020764018814274 · Cited by 54
Apps and Mobile Health Technology in Rehabilitation
Ramey, L. N., Osborne, C. L., Kasitinon, D., & Juengst, S. B. (2019) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2018.12.001 · Cited by 55
Interactive Technologies Designed for Children with Autism
Putnam, C., Hanschke, C., Todd, J., Gemmell, J. F., & Kollia, M. (2019) · ACM Transactions on Accessible Computing · doi:10.1145/3342285 · Cited by 53
Jain, G., Pareek, S., & Carlbring, P. (2024) · Internet Interventions · doi:10.1016/j.invent.2024.100745 · Cited by 61
Zijlmans, J., Teela, L., van Ewijk, H., Klip, H., van der Mheen, M., Ruisch, I. H., Luijten, M. A. J., van Muilekom, M. M., Oostrom, K. J., Buitelaar, J. K., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.692853 · Cited by 49
Jacob, C., Lindeque, J. P., Klein, A., Ivory, C. J., Heuss, S., & Peter, M. K. (2023) · JMIR Human Factors · doi:10.2196/45143 · Cited by 43
Simonato, P., Bersani, F. S., Santacroce, R., Cinosi, E., Schifano, F., Bersani, G., Martinotti, G., & Corazza, O. (2017) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.2580 · Cited by 46
Faurholt‐Jepsen, M., Geddes, J. R., Goodwin, G. M., Bauer, M., Duffy, A. C., Kessing, L. V., & Saunders, K. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0484-8 · Cited by 50
Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps
Stach, M., Kraft, R., Probst, T., Meßner, E.-M., Terhorst, Y., Baumeister, H., Schickler, M., Reichert, M., Sander, L., & Pryss, R. C. (2020) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms49503.2020.00087 · Cited by 45
Faurholt‐Jepsen, M., Tønning, M. L., Fros, M., Martiny, K., Tuxen, N., Rosenberg, N., Busk, J., Winther, O., Thaysen‐Petersen, D., Andreasson, K., et al. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13274 · Cited by 46
Juengst, S. B., Terhorst, L. A., Nabasny, A., Wallace, T. D., Weaver, J., Osborne, C. L., Burns, S. P., Wright, B., Wen, P.-S., Kew, C. L., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18042173 · Cited by 43
Popescu, C., Golden, G. M., Benrimoh, D. A., Tanguay-Sela, M., Slowey, D., Lundrigan, E., Williams, J. D., Desormeau, B., Kardani, D., Pérez, T., et al. (2021) · JMIR Formative Research · doi:10.2196/31862 · Cited by 44
Lin, Y., Wong, B.-Y., Lin, S., Chiu, Y., Pan, Y., & Lee, Y.-H. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.12.012 · Cited by 44
Drydakis, N. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106661 · Cited by 46
Grist, R. M., Cliffe, B., Denne, M., Croker, A., & Stallard, P. N. (2018) · BJPsych Open · doi:10.1192/bjo.2018.43 · Cited by 41
Baumel, A., Torous, J. B., Edan, S., & Kane, J. M. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.011 · Cited by 40
Tønning, M. L., Kessing, L. V., Bardram, J. E., & Faurholt-Jepsen, M. (2019) · Journal of Medical Internet Research · doi:10.2196/15362 · Cited by 40
“Nevertheless, hundreds of apps claiming to help or monitor psychiatric disorders are already available in app stores [11].”
BackgroundWasil, A. R., Patel, R., Cho, J. Y., Shingleton, R. M., Weisz, J. R., & DeRubeis, R. J. (2021) · International Journal of Eating Disorders · doi:10.1002/eat.23478 · Cited by 40
Deep Learning for Mobile Mental Health: Challenges and recent advances
Han, J., Zhang, Z., Mascolo, C., André, E., Tao, J., Zhao, Z., & Schuller, B. W. (2021) · IEEE Signal Processing Magazine · doi:10.1109/msp.2021.3099293 · Cited by 41
Goldsmith, E. S., Koffel, E., Ackland, P. E., Hill, J., Landsteiner, A., Miller, W., Stroebel, B., Ullman, K., Wilt, T. J., & Duan-Porter, W. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08140-4 · Cited by 38
d'Halluin, A., Costa, M., Morgiève, M., & Sebbane, D. (2023) · Journal of Medical Internet Research · doi:10.2196/43102 · Cited by 34
Babiano-Espinosa, L., Wolters, L., Weidle, B., de Beek, V. O., Pedersen, S. A., Compton, S., & Skokauskas, N. (2019) · Systematic Reviews · doi:10.1186/s13643-019-1166-6 · Cited by 33
Gloster, A. T., Miché, M., Wersebe, H., Mikoteit, T., Hoyer, J., Imboden, C., Bader, K., Meyer, A. H., Hatzinger, M., & Lieb, R. (2017) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1578 · Cited by 47
Hennemann, S., Kuhn, S., Witthöft, M., & Jungmann, S. M. (2022) · JMIR Mental Health · doi:10.2196/32832 · Cited by 31
“Mental health topics are among the most popular search queries [1], and it is estimated that approximately one-third of all health apps worldwide target mental health issues [2].”
BackgroundPennou, A., Lecomte, T., Potvin, S., & Khazaal, Y. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00302 · Cited by 34
Metadata
- Authors
- Anthes, E.
- Corresponding author
- Anthes, Emily
- Venue
- Nature
- Published
- 2016-04-06
- Volume
- 532
- Issue
- 7597
- Pages
- 20-23
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2322637108
- Cited by
- 333
- References
- 15
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 14 · 2023: 33 · 2022: 35 · 2021: 48 · 2020: 53 · 2019: 48 · 2018: 29 · 2017: 25 · 2016: 10
- FWCI
- 57.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- mental health apps, mobile application, digital mental health interventions, addiction treatment, schizophrenia, app efficacy, evidence-based assessment
- MeSH terms
- Smartphone, Clinical Trials as Topic, Depression, Developing Countries, Health Services Accessibility, Humans, Mental Health, Pilot Projects, Psychiatry, Public Health, Self Care, Stress Disorders, Post-Traumatic, Telemedicine, Mobile Applications
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
