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Using science to sell apps: Evaluation of mental health app store quality claims
Open accessAbstract
Despite the emergence of curated app libraries for mental health apps, personal searches by consumers remain a common method for discovering apps. App store descriptions therefore represent a key channel to inform consumer choice. This study examined the claims invoked through these app store descriptions, the extent to which scientific language is used to support such claims, and the corresponding evidence in the literature. Google Play and iTunes were searched for apps related to depression, self-harm, substance use, anxiety, and schizophrenia. The descriptions of the top-ranking, consumer-focused apps were coded to identify claims of acceptability and effectiveness, and forms of supporting statement. For apps which invoked ostensibly scientific principles, a literature search was conducted to assess their credibility. Seventy-three apps were coded, and the majority (64%) claimed effectiveness at diagnosing a mental health condition, or improving symptoms, mood or self-management. Scientific language was most frequently used to support these effectiveness claims (44%), although this included techniques not validated by literature searches (8/24 = 33%). Two apps described low-quality, primary evidence to support the use of the app. Only one app included a citation to published literature. A minority of apps (14%) described design or development involving lived experience, and none referenced certification or accreditation processes such as app libraries. Scientific language was the most frequently invoked form of support for use of mental health apps; however, high-quality evidence is not commonly described. Improved knowledge translation strategies may improve the adoption of other strategies, such as certification or lived experience co-design.
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“Other reviews have evaluated mental health apps more broadly, concluding that the quality of evidence supporting their efficacy is insufficient (Larsen et al. 2019; Wisniewski et al. 2019)”
From Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management (2022) · cites this paper as Larsen et al. 2019
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.
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“Whilst reviews of the broader BD app landscape report very low incidence of scientific evidence for available apps (Larsen et al. 2019), 55% of the apps most commonly used by individuals with BD have published evidence (albeit, with the limitations discussed above).”
From Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management (2022) · cites this paper as Larsen et al. 2019
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“Although many of these apps were evidence informed and were inspired by scientifically validated techniques and methods, very few were evidence based (ie, the subject of rigorous scientific studies demonstrating their effectiveness and reliability [10,11]).”
Gasteiger, N., Dowding, D., Norman, G., McGarrigle, L., Eost‐Telling, C., Jones, D. J., Vercell, A., Ali, S. M., & O’Connor, S. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-073283 · Cited by 37
Satre, D. D., Meacham, M. C., Asarnow, L. D., Fisher, W. S., Fortuna, L. R., & Iturralde, E. (2021) · American Journal of Health Promotion · doi:10.1177/08901171211055314 · Cited by 37
“Providers and health systemsmust contendwith a shifting landscape of available apps.(68) The generally unregulated status of mental health apps(69) and the unclear value of app store user reviews have sparked new approaches for endorsing apps and cataloguing recommendations.”
BackgroundHrynyschyn, R., & Dockweiler, C. (2021) · JMIR mHealth and uHealth · doi:10.2196/24703 · Cited by 35
“Currently, thousands of mental health apps are available in the market, and these apps are designed for a brief frequent use throughout the day [24].”
BackgroundGenerating value with mental health apps
Powell, A. C., Torous, J. B., Firth, J., & Kaufman, K. R. (2020) · BJPsych Open · doi:10.1192/bjo.2019.98 · Cited by 34
Self-citationCOVID-19 has inspired global healthcare innovation
Palanica, A., & Fossat, Y. (2020) · Canadian Journal of Public Health · doi:10.17269/s41997-020-00406-2 · Cited by 33
Digital technology for addressing cognitive impairment in recent-onset psychosis: A perspective
Bell, I., Pot-Kolder, R., Wood, S. J., Nelson, B., Acevedo, N., Stainton, A., Nicol, K., Kean, J. D., Bryce, S., Bartholomeusz, C. F., et al. (2022) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2022.100247 · Cited by 34
“doscience and scientific jargon to make unsubstantiated claims of effectiveness (Larsen et al., 2019).”
Self-citationCaiani, E. G., Kemps, H., Hoogendoorn, P., Asteggiano, R., Böhm, A., Borregaard, B., Boriani, G., Rocca, H. B., Casado-Arroyo, R., Castelletti, S., et al. (2024) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztae042 · Cited by 32
“17,18 Access to mHealth solutions, including wearables such as smart-watches, is further complicated by the fact that they can assume the role of a lifestyle gadget and/or that of an MD, depending on the model and the country in which they are sold.”
BackgroundLeong, Q. Y., Sridhar, S., Blasiak, A., Tadeo, X., Yeo, G., Remus, A., & Ho, D. (2021) · Journal of Medical Internet Research · doi:10.2196/27388 · Cited by 39
“Instead of objectively informing about the evidence, the function of the app description is to appeal to consumers and drive the number of app downloads, independent of the platform’s objective quality [187].”
BackgroundBowie-DaBreo, D., Sas, C., Iles‐Smith, H., & Sünram‐Lea, S. I. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517498 · Cited by 36
“There is therefore need for more evidence on the use of apps for depression in the wild to better understand user experiences and implications for design to improve the quality and acceptance of these apps.”
Schick, A., Paetzold, I., Rauschenberg, C., Hirjak, D., Banaschewski, T., Meyer-Lindenberg, A., Boehnke, J. R., Boecking, B., & Reininghaus, U. (2021) · JMIR Research Protocols · doi:10.2196/27462 · Cited by 30
“However, most mHealth apps that are currently available in major app stores are not evidence-based, often use problematic data sharing and privacy practices, and sometimes contain harmful content [34-36].”
Critical review of self‐diagnosis of mental health conditions using artificial intelligence
Wimbarti, S., Kairupan, B. H. R., & Tallei, T. E. (2024) · International Journal of Mental Health Nursing · doi:10.1111/inm.13303 · Cited by 36
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Haaf, R., Vock, P., Wächtershäuser, N., Correll, C. U., Köhler, S., & Klein, J. P. (2024) · Der Nervenarzt · doi:10.1007/s00115-023-01587-0 · Cited by 30
Koch, E. D., Moukhtarian, T. R., Skirrow, C., Bozhilova, N. S., Asherson, P. J., & Ebner‐Priemer, U. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.002 · Cited by 34
Is the world ready for ChatGPT therapists?
Graber-Stiehl, I. (2023) · Nature · doi:10.1038/d41586-023-01473-4 · Cited by 32
Building Better Schools with Evidence-based Policy
Allen, K., Reupert, A., & Oades, L. G. (2021) · Routledge eBooks · doi:10.4324/9781003025955 · Cited by 35
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“It is worrisome that so few of these commercially available apps are supported with reliable or high-quality scientific evidence, and in the most egregious examples even report false or misleading claims of clinical effectiveness (Larsen et al., 2019; Lau et al., 2020).”
Bautista, J., & Schueller, S. M. (2022) · JMIR Mental Health · doi:10.2196/43942 · Cited by 28
“Although there are mental health apps that are effective, many mental health apps are not evidence based [38].”
Tong, A. C. Y., Wong, K. T. Y., Chung, W. W. T., & Mak, W. W. S. (2025) · Journal of Medical Internet Research · doi:10.2196/70436 · Cited by 43
“Many of these tools are not empirically tested or are misinformed [59-61].”
Recommendations for Successful Development and Implementation of Digital Health Technology Tools
Loo, R. T. J., Nasta, F., Macchi, M., Baudot, A., Burstein, F., Bove, R. M., Greve, M., Fröhlich, H., Khalid, S., Küderle, A., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/56747 · Cited by 28
“Larsen et al [70] found that among 73 top-ranked mental health apps, only 2 provided primary evidence, 1 cited published literature, and 14% described development with lived experience.”
Self-citationBarnett, S., Huckvale, K., Christensen, H. M., Venkatesh, S., Mouzakis, K., & Vasa, R. (2019) · Journal of Medical Internet Research · doi:10.2196/16399 · Cited by 29
“…efforts to build sensing and intervention apps, many appear to have limited potential for clinical translation because they are not backed by evidence of efficacy [28], or do not clearly satisfy clinical quality [29] and safety expectations (such as those concerning diagnostic accuracy [30]).”
BackgroundSelf-citationBowie-DaBreo, D., Sünram‐Lea, S. I., Sas, C., & Iles‐Smith, H. (2020) · JMIR Formative Research · doi:10.2196/14988 · Cited by 26
“…authors commented that although some apps seemed to be evidence informed, reflecting some theoretical principles and strategies, the apps did not demonstrate high fidelity to evidence-based treatments such as CBT or BT [25,32] and generally lacked evidence supporting use and efficacy [21,23,25,27].”
BackgroundResultInfluentialWang, M., Chen, H., Yang, F., Xu, X., & Li, J. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.06.057 · Cited by 25
The use of eHealth interventions among persons experiencing homelessness: A systematic review
Polillo, A., Gran-Ruaz, S., Sylvestre, J. C., & Kerman, N. (2021) · Digital Health · doi:10.1177/2055207620987066 · Cited by 25
Simon, L., Reimann, J., Steubl, L., Stach, M., Spiegelhalder, K., Sander, L., Baumeister, H., Meßner, E.-M., & Terhorst, Y. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13642 · Cited by 24
Publication Trends in Psychotherapy: Bibliometric Analysis of the Past 5 Decades
Soares, E. E., Thrall, J., Stephens, T. N., Biglieri, R. R., Consoli, A. J., & Bunge, E. L. (2020) · American Journal of Psychotherapy · doi:10.1176/appi.psychotherapy.20190045 · Cited by 27
“Additionally, a growing number of publications have addressed the utilization of behavioral intervention technologies (52), such as smartphone applications (53, 54), artificial intelligence (55), virtual reality (56), chatbots (57, 58), and even video games utilizing CBT for depression (59) and anxiety (60).”
BackgroundMercurio, M., Larsen, M. E., Wisniewski, H., Henson, P., Lagan, S., & Torous, J. B. (2020) · Evidence-Based Mental Health · doi:10.1136/ebmental-2019-300137 · Cited by 23
Self-citationCan mental health apps be effective for depression, anxiety, and stress during a pandemic?
Longyear, R. L., & Kushlev, K. (2021) · Practice Innovations · doi:10.1037/pri0000142 · Cited by 21
Digital Health Literacy in Bipolar Disorder: International Web-Based Survey
Morton, E. E., Ho, K., Barnes, S. J., & Michalak, E. E. (2021) · JMIR Mental Health · doi:10.2196/29764 · Cited by 24
“…10,000 publicly available offerings [51], app store search algorithms lack transparency and may be influenced by paid advertising [52], turnover in apps is high [53], and app descriptions often make scientific claims regarding effectiveness despite lack of appropriate high-quality evidence [54,55].”
Kheirinejad, S., Visuri, A., Suryanarayana, S. A., & Hosio, S. J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16586 · Cited by 24
Lin, X., Martinengo, L., Jabir, A. I., Ho, A. H. Y., Car, J., Atun, R. A., & Car, L. T. (2023) · Journal of Medical Internet Research · doi:10.2196/45984 · Cited by 24
“This could imply that some app developers might be using scientific terminology to attract users [63].”
Digital Technology to Enhance Clinical Care of Early Psychosis
Bell, I., & Álvarez‐Jiménez, M. (2019) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-019-00182-y · Cited by 27
Digital health & low-value care
O’Reilly-Jacob, M., Mohr, P. E., Ellen, M., Petersen, C. C., Sarkisian, C. A., Attipoe, S., & Rich, E. C. (2021) · Healthcare · doi:10.1016/j.hjdsi.2021.100533 · Cited by 23
Kang, R. M., & Reynolds, T. L. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642178 · Cited by 27
“In a study conducted by Larsen and colleagues [38], researchers investigated app store description pages for mental health apps, fnding that 64% of apps included in their study claimed efcacy in reducing symptoms of mental illness or diagnosing a mental illness, and 44% of apps used “scientifc…”
BackgroundKadirvelu, B., Bel, T. B., Freccero, A., Simplicio, M. C. D., Nicholls, D., & Faisal, A. A. (2025) · Journal of Medical Internet Research · doi:10.2196/72501 · Cited by 32
“The proliferation of smartphones has enabled a new class of digital mental health interventions that leverage their unique data collection capabilities [12-14].”
Metadata
- Authors
- Larsen, M. E., Huckvale, K., Nicholas, J., Torous, J., Birrell, L., Li, E., & Reda, B.
- Affiliations
- Black Dog Institute (AU)
- Northwestern University (US)
- Beth Israel Deaconess Medical Center (US)
- UNSW Sydney (AU)
- Corresponding author
- Larsen, Mark Erik
- Venue
- npj Digital Medicine
- Published
- 2019-03-22
- Volume
- 2
- Issue
- 1
- Pages
- 18-18
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC6550255
- OpenAlex
- W2925166053
- Cited by
- 334
- References
- 23
- Citations by year
- 2026: 16 · 2025: 53 · 2024: 42 · 2023: 48 · 2022: 47 · 2021: 60 · 2020: 54 · 2019: 14
- FWCI
- 49.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- 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, scientific language, quality of evidence, consumer choice, knowledge translation, depression, anxiety, schizophrenia, substance use, self-harm, Google Play Store, iTunes
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