The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps
Open accessAbstract
Smartphone-based mental health apps represent a unique opportunity to expand the availability and quality of mental health treatment. The number of mobile health (mHealth) apps focused on mental health has rapidly increased; a 2015 World Health Organization (WHO) survey of 15,000 mHealth apps revealed that 29% focus on mental health diagnosis, treatment, or support (1).
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“Smartphone-delivered interventions also differ in their design, content presentation (e.g., text- or video-based), usability, and other user experience aspects (cf. Chandrashekar, 2018).”
From Smartphone-delivered mental health care interventions for refugees: A systematic review of the literature (2023) · cites this paper as Chandrashekar, 2018
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“When the application was combined with face-to-face or internet-based therapy, the effect was even greater [15].”
From A Review of Current Digital Mental Health Care Applications for Anxiety Symptoms and Future Prospects (2024) · cites this paper as [15]
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“Mobile health (mHealth) technology has been growing in popularity to minimize some barriers to traditional mental healthcare [8,9].”
From Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review (2023) · cites this paper as [9]
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From Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review (2023) · cites this paper as [9]
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“They also found that smartphone-based therapies yield the greatest benefits for individuals with mild to moderate, rather than major, depression (6).”
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Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
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“Using mobile apps to deliver these interventions has thus garnered attention as a supplement to in-person therapy and a mechanism to treat sub-clinical anxiety conditions that may lie below the threshold for anxiety disorder treatment (7).”
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Metadata
- Authors
- Chandrashekar, P.
- Affiliations
- Harvard University (US)
- Corresponding author
- Chandrashekar, Pooja
- ORCID
- Chandrashekar, Pooja
- Venue
- mHealth
- Publisher
- AME Publishing Company
- Published
- 2018-03
- Volume
- 4
- Pages
- 6-6
- ISSN
- 2306-9740 (ISSN-L)
- PMC
- PMC5897664
- OpenAlex
- W2792516940
- Cited by
- 359
- References
- 22
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 53 · 2023: 43 · 2022: 70 · 2021: 58 · 2020: 42 · 2019: 24 · 2018: 1
- FWCI
- 39.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- mHealth (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (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 › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mental health apps, mobile health, mobile application, app efficacy, mobile application design, digital mental health interventions, access to mental health care
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 ›
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