Popular Smartphone Apps to Improve Wellness and Reduce Stress: Science or Snake Oil? (RP402)
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Only a small proportion of commercially developed mental health apps have established efficacy.
“only a small proportion of commercially developed mental health apps have established efficacy [18,19]”
From Feasibility and Preliminary Efficacy of Digital Interventions for Depressive Symptoms in Working Adults: Multiarm Randomized Controlled Trial (2023) · cites this paper as [19]
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Taylor, R. W., Male, R., Economides, M., Bolton, H., & Cavanagh, K. (2023) · JMIR Formative Research · doi:10.2196/41590 · Cited by 15 · see citing works
“However, evidence regarding their impact is still emerging [17], and only a small proportion of commercially developed mental health apps have established efficacy [18,19], suggesting the need for more methodologically robust trials.”
- Authors
- Lau, N., O'Daffer, A., Colt, S., Yi-Frazier, J., Palermo, T., & Rosenberg, A.
- Affiliations
- Seattle Children's Hospital (US)
- Seattle Children's Research Institute (US)
- University of Washington (US)
- Venue
- Journal of Pain and Symptom Management
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 60
- Issue
- 1
- Pages
- 214-215
- ISSN
- 0885-3924 (ISSN-L)
- OpenAlex
- W3001930102
- Cited by
- 1
- References
- 0
- Citations by year
- 2023: 1
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Pain and Symptom Management (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Keywords
- mobile application, mental health apps, stress reduction, wellness, app efficacy, user popularity
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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.
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