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A Lot of Action, But Not in the Right Direction: Systematic Review and Content Analysis of Smartphone Applications for the Prevention, Detection, and Management of Cancer
Open accessAbstract
BACKGROUND: Mobile phones have become nearly ubiquitous, offering a promising means to deliver health interventions. However, little is known about smartphone applications (apps) for cancer. OBJECTIVE: The purpose of this study was to characterize the purpose and content of cancer-focused smartphone apps available for use by the general public and the evidence on their utility or effectiveness. METHODS: We conducted a systematic review of the official application stores for the four major smartphone platforms: iPhone, Android, Nokia, and BlackBerry. Apps were included in the review if they were focused on cancer and available for use by the general public. This was complemented by a systematic review of literature from MEDLINE, Embase, and the Cochrane Library to identify evaluations of cancer-related smartphone apps. RESULTS: A total of 295 apps from the smartphone app stores met the inclusion criteria. The majority of apps targeted breast cancer (46.8%, 138/295) or cancer in general (28.5%, 84/295). The reported app purpose was predominantly to raise awareness about cancer (32.2%, 95/295) or to provide educational information about cancer (26.4%, 78/295), followed by apps to support fundraising efforts (12.9%, 38/295), assist in early detection (11.5%, 34/295), promote a charitable organization (10.2%, 30/295), support disease management (3.7%, 11/295), cancer prevention (2.0%, 6/295), or social support (1.0%, 3/295). The majority of the apps did not describe their organizational affiliation (64.1%, 189/295). Apps affiliated with non-profit organizations were more likely to be free of cost (χ(2) 1=16.3, P<.001) and have a fundraising or awareness purpose (χ(2) 2=13.3, P=.001). The review of the health literature yielded 594 articles, none of which reported an evaluation of a cancer-focused smartphone application. CONCLUSIONS: There are hundreds of cancer-focused apps with the potential to enhance efforts to promote behavior change, to monitor a host of symptoms and physiological indicators of disease, and to provide real-time supportive interventions, conveniently and at low cost. However, there is a lack of evidence on their utility, effectiveness, and safety. Future efforts should focus on improving and consolidating the evidence base into a whitelist for public consumption.
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“many experts remain cautious about the utility of the thousands of apps currently available, either free or at a small charge, for the prevention, detection and management of cancer.6,7”
From Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review (2015) · cites this paper as [6]
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“despite the strong evidence suggesting that the provision of information alone is not an effective intervention to improve patient self-management of chronic disease in primary care.6,18”
From Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review (2015) · cites this paper as [6]
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“which together provide more than 90% of cancer-related apps 6”
From Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review (2015) · cites this paper as [6]
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m ‐Health Care Models and Applications
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Metadata
- Authors
- Bender, J. L., Yue, R. Y. K., To, M. J., Deacken, L., & Jadad, A. R.
- Affiliations
- University Health Network (CA)
- Corresponding author
- Bender, Jacqueline Lorene
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2013-12-23
- Volume
- 15
- Issue
- 12
- Pages
- e287
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC3875901
- OpenAlex
- W2164995937
- Cited by
- 346
- References
- 24
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 14 · 2023: 20 · 2022: 29 · 2021: 35 · 2020: 34 · 2019: 41 · 2018: 42 · 2017: 33 · 2016: 33 · 2015: 31 · 2014: 13
- FWCI
- 3.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- cancer, mobile application, mobile health, cancer prevention, early cancer detection, cancer management, breast cancer, app store analysis, app evaluation, nonprofit organizations, cancer awareness, health behavior change, app security and privacy
- MeSH terms
- Female, Health Promotion, Humans, Male, Neoplasms, Telemedicine, Risk Reduction Behavior, Cell Phone, 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 ›
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