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
Items 301–333 of 333
Mobile Health Application in China: Cross-sectional Study (Preprint)Preprint
Yang, L., Wu, J., Mo, X., Chen, Y., Huang, S., Zhou, L., Dai, J., Xie, L., Chen, S., Shang, H., et al. (2020) · doi:10.2196/preprints.21826
mHealth in the wild: A global examination of a publicly available app for depression (Preprint)Preprint
Su, L., & Anderson, P. L. (2021) · doi:10.2196/preprints.35538
(2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814309-4.09998-5
Barreto, L. D. M., Borkum, D., Gerstel, B., Kanen, R., Kola, A., & Ott, B. D. (2022) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-022-00244-8
Mohammadlou, S. S., Farani, A. R., Shariat, V., & Habibi, M. (2022) · Smart Health · doi:10.1016/j.smhl.2022.100280
ANÁLISE COMPARATIVA DE PLATAFORMAS BASEADAS EM CLOUD PARA O DESENVOLVIMENTO DE APLICAÇÕES IOT
Oliveira, L. C. L. E., & Silva, F. D. O. (2021) · doi:10.22533/at.ed.1252125067
Wilson, M., & Shaw, M. R. (2019) · IGI Global eBooks · doi:10.4018/978-1-7998-1680-5.ch007
Novel Approaches for Treating Anxiety Disorders
Sturman, D. A., Kaufman, M. L., Bigony, C. E., & Ressler, K. J. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0039
dos Santos, N. S., Gonçalves, R. S., Neto, F. A. B. D. S., Benevides, S. C., & Santana, R. S. (2021) · doi:10.22533/at.ed.1252125066
Burbach, F., Lecce, F., Allen, V. M. E., & Porter, C. M. (2022) · doi:10.2196/preprints.40261
計算論的精神医学:精神医学における計算理論と知能モデルの役割と展望
山下, 祐. (2022) · The Brain & Neural Networks · doi:10.3902/jnns.29.37
Mental Health | Atmospheres | Video Games
Aguilar Rodríguez, J. C. 2. J., Igarzábal, F. A., Debus, M. S., Maughan, C. L., Song, S.-J., Vozaru, M., & Zimmermann, F. (2022) · Bild und Bit · doi:10.14361/9783839462645
Mobile Technology for Cognitive Rehabilitation
Rabinowitz, A. R., Juengst, S. B., & Bergquist, T. F. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_24
Smartphone-Based Treatment in Psychiatry: A Systematic Review
Faurholt‐Jepsen, M., Tønning, M. L., & Kessing, L. V. (2023) · Springer eBooks · doi:10.1007/978-3-031-10698-9_5
Use of Technology and Stepped Care
Pedrelli, P., Bentley, K. H., Pittman, M. A., Meyer, A. K., & Fisher, L. B. (2023) · Current clinical psychiatry · doi:10.1007/978-3-031-29368-9_27
Screening Application for Possible Mental Health Issues in Adolescents and PWDs Using Data Science
Gunasundari, S., Nandhithaa, B., Mahalakshmi, L., & Aparna, P. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-9518-9_22
The application and prospects of artificial intelligence in the treatment of anxiety disorders
Wang, Y. C., Hu, M., & Wan, Q. (2023) · International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS) · doi:10.1145/3644116.3644274
Facets of Positive Affect and Risk for Bipolar Disorder: Role of the Behavioral Activation System
Dornbach‐Bender, A. (2017) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc1062834
Pilli, K., Worne, B., Christie, L., & Simpson, G. K. (2025) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2025.2475544
Eyes Don’t Lie: Indifferent to AI-Generated Depression Screenings
Shahsavar, Y., & Choudhury, A. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251357920
Vieira, F. F. P. (2025) · Research Square · doi:10.21203/rs.3.rs-7576884/v1 · Cited by 1
Deng, Y., Yan, J., Xia, Y., Han, J., Li, L., Li, Y., Zhang, J., & Gan, Y. (2025) · Journal of Happiness Studies · doi:10.1007/s10902-025-00966-5
Stratton, E., & Glozier, N. (2026) · Disability and Rehabilitation · doi:10.1080/09638288.2026.2618928
Güleç, H., Šmahel, D., & Huang, Y. (2026) · Journal of Medical Internet Research · doi:10.2196/71363
Exploring service user attitudes towards mental health technologies
Fitzpatrick, P. J., Dhondt, N., Thuery, G., O’Brien, D., Ledden, K., Young, G. W., Gillan, C. M., Harkin, A., & Kelly, J. R. (2026) · Irish Journal of Psychological Medicine · doi:10.1017/ipm.2026.10170
Madigan, A., Fabian, H., Jilka, S., Arroya, B., Larkin, D., Lewin, C. D. C., Zahid, U., Kilcoyne, I., & Wykes, T. (2026) · BMJ Connections Mental Health · doi:10.1136/bmjcment-2025-000033
Telehealth in the Workplace: A Bibliometric Analysis of Trends, Adoption, and Research Directions
Ahmed, A., & Chopra, K. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-19690-3_33
Coelho, P. S., Jesus, L., Machado-Sousa, M., Amorim, L., Ferreira, S., Picó‐Pérez, M., & Morgado, P. F. (2026) · Epidemiologia · doi:10.3390/epidemiologia7020056
eHealth in the management of PTSD in children and adolescents: a scoping review
Ju, L., Zhang, D., Guan, R., Xue, Y., Sun, H., Hu, L., Zhang, B., & Zhao, X. F. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1764838
Chen, Y., & Xie, W. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30083-6_1
Generative AI in Youth Mental Health Apps: Rapid Review
Høgsdal, H., Kyrrestad, H., & Kaiser, S. (2026) · JMIR Mental Health · doi:10.2196/90589
Effect Sizes of Permanently Listed Digital Health Applications (DiGAs) in GermanyPreprint
Fritz, M. S., & Zenner, H. P. (2026) · Research Square · doi:10.21203/rs.3.rs-10879796/v1
Wang, Q., Zhong, J., Qi, K., Bao, H., Wang, Y., Guo, S., & Chen, A. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117459
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