The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Smartphone Apps as a Source of Cancer Information: Changing Trends in Health Information-Seeking Behavior
Abstract
There is an increased interest in smartphone applications as a tool for delivery of health-care information. There have been no studies which evaluated the availability and content of cancer-related smartphone applications. This study aims to identify and analyze cancer-related applications available on the Apple iTunes platform. The Apple iTunes store was searched for cancer-related smartphone applications on July 29, 2011. The content of the applications was analyzed for cost, type of information, validity, and involvement of health-care agencies. A total of 77 relevant applications were identified. There were 24.6 % apps uploaded by health-care agencies, and 36 % of the apps were aimed at health-care workers. Among the apps, 55.8 % provided scientifically validated data. The difference in scientific validity between the apps aimed at general population versus health-care professionals was statistically significant (P < 0.01). Seventy-nine percent of the apps uploaded by health-care agencies were found to be backed by scientific data. There is lack of cancer-related applications with scientifically backed data. There is a need to improve the accountability and reliability of cancer-related smartphone applications and encourage participation by health-care agencies to ensure patient safety.
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From Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review (2015) · cites this paper as [30]
Citations
Cites
A Systematic Review of Healthcare Applications for Smartphones
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-67 · Cited by 1,184
Boulos, M. N. K., Wheeler, S., Tavares, C., & Jones, R. B. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-24 · Cited by 1,123
Rutten, L. J. F., Arora, N. K., Bakos, A. D., Aziz, N. M., & Rowland, J. H. (2004) · Patient Education and Counseling · doi:10.1016/j.pec.2004.06.006 · Cited by 911
Frost, J. H., & Massagli, M. P. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1053 · Cited by 533
Smartphone App Use Among Medical Providers in ACGME Training Programs
Franko, O. I., & Tirrell, T. F. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9798-7 · Cited by 531
Social Internet Sites as a Source of Public Health Information
Vance, K. K., Howe, W., & Dellavalle, R. P. (2009) · Dermatologic Clinics · doi:10.1016/j.det.2008.11.010 · Cited by 519
Published criteria for evaluating health related web sites: review
Kim, P., Eng, T. R., Deering, M. J., & Maxfield, A. M. (1999) · BMJ · doi:10.1136/bmj.318.7184.647 · Cited by 498
Skinner, H. A., Biscope, S., Poland, B. D., & Goldberg, E. (2003) · Journal of Medical Internet Research · doi:10.2196/jmir.5.4.e32 · Cited by 371
YouTube As a Source of Information on the H1N1 Influenza Pandemic
Pandey, A., Patni, N., Singh, M., Sood, A., & Singh, G. (2010) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.11.007 · Cited by 367
iPhone Apps for Smoking Cessation
Abroms, L. C., Padmanabhan, N., Thaweethai, L., & Phillips, T. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.10.032 · Cited by 365
Smartphone applications for pain management
Rosser, B. A., & Eccleston, C. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2011.101102 · Cited by 364
Reviewing social media use by clinicians: Table 1
von Muhlen, M., & Ohno-Machado, L. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-000990 · Cited by 319
YouTube as a Source of Information on Kidney Stone Disease
Sood, A., Sarangi, S., Pandey, A., & Murugiah, K. (2010) · Urology · doi:10.1016/j.urology.2010.07.536 · Cited by 226
Cohn, A. M., Hunter‐Reel, D., Hagman, B. T., & Mitchell, J. N. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01571.x · Cited by 194
Smartphone Apps for Orthopaedic Surgeons
Franko, O. I. (2011) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999-011-1904-0 · Cited by 171
Colorectal smartphone apps: opportunities and risks
O’Neill, S., & Brady, R. R. W. (2012) · Colorectal Disease · doi:10.1111/j.1463-1318.2012.03088.x · Cited by 165
Evaluation of personal digital assistant software for drug interactions
Barrons, R. (2004) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/61.4.380 · Cited by 122
Kinnane, N. A., & Milne, D. J. (2010) · Supportive Care in Cancer · doi:10.1007/s00520-010-0863-4 · Cited by 121
Medical professional involvement in smartphone ‘apps’ in dermatology: Correspondence
Hamilton, A. D., & Brady, R. R. W. (2012) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2012.10844.x · Cited by 119
Internet and information technology use in treatment of diabetes
Kaufman, N. (2010) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2009.02277.x · Cited by 101
Infectious Diseases Resources for the iPhone
Oehler, R. L., Smith, K., & Toney, J. (2010) · Clinical Infectious Diseases · doi:10.1086/651602 · Cited by 91
Rao, A. V., Hou, P., Golnik, T., Flaherty, J., & Vu, S. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400426 · Cited by 80
Public Health Interventions: Reaching Latino Adolescents via Short Message Service and Social Media
Vyas, A. N., Landry, M., Schnider, M., Rojas, A. M., & Wood, S. F. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2178 · Cited by 72
Kumar, S., Wang, E.-H., Pokabla, M. J., & Noecker, R. J. (2012) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2011.0089 · Cited by 64
Hawkes, C. P., Walsh, B. H., Ryan, C. A., & Dempsey, E. M. (2012) · Resuscitation · doi:10.1016/j.resuscitation.2012.06.025 · Cited by 49
Caution in melanoma risk analysis with smartphone application technology: Correspondence
Robson, Y., Blackford, S., & Roberts, D. (2012) · British Journal of Dermatology · doi:10.1111/j.1365-2133.2012.11046.x · Cited by 39 · cited 1×
“Attempts are being made to utilize them in clinical scenarios with varying degrees of success, particularly in dermatology [2] and ophthalmology [3, 4].”
BackgroundApplication of smartphone cameras for detecting clinically active trachoma: Table 1
Bhosai, S. J., Amza, A., Nassirou, B., Bailey, R. L., Keenan, J. D., Gaynor, B. D., & Lietman, T. M. (2012) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2012-302050 · Cited by 37
Personal Digital Assistant Infectious Diseases Applications for Health Care Professionals
Miller, S. M., Beattie, M. M., & Butt, A. A. (2003) · Clinical Infectious Diseases · doi:10.1086/368198 · Cited by 37
Neurosurgical apps for iPhone, iPod Touch, iPad and Android
Kubben, P. (2010) · Surgical Neurology International · doi:10.4103/2152-7806.74148 · Cited by 31
Smart phones: new clinical tools in oncology?
Senior, K. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70116-4 · Cited by 29
Joshi, A., Bhangoo, R. S., & Kumar, K. M. S. (2011) · Technology and Health Care · doi:10.3233/thc-2011-0643 · Cited by 20
Sahama, T., Liang, J., & Iannella, R. (2012) · Studies in health technology and informatics · doi:10.3233/978-1-61499-101-4-803 · Cited by 16
The Internet as an Information Source for Geriatricians
Glowniak, J. V. (1997) · Drugs & Aging · doi:10.2165/00002512-199710030-00001 · Cited by 8
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Public health and online misinformation: challenges and recommendations
Swire-Thompson, B., & Lazer, D. (2020) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040119-094127 · Cited by 1,170
Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences
Anderson, K., Burford, O., & Emmerton, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0156164 · Cited by 502
Evaluating mobile phone applications for health behaviour change: A systematic review
McKay, F. H., Cheng, C. C., Wright, A., Shill, J., Stephens, H., & Uccellini, M. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x16673538 · Cited by 367
Bender, J. L., Yue, R. Y. K., To, M. J., Deacken, L., & Jadad, A. R. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2661 · Cited by 346
Akbar, S., Coiera, E. W., & Magrabi, F. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz175 · Cited by 246
Metadata
- Authors
- Pandey, A., Hasan, S., Dubey, D., & Sarangi, S.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- University College of Medical Sciences (IN)
- Brigham and Women's Hospital (US)
- Corresponding author
- Pandey, Ambarish
- Venue
- Journal of Cancer Education
- Published
- 2012-12-30
- Volume
- 28
- Issue
- 1
- Pages
- 138-142
- ISSN
- 0885-8195 (ISSN-L)
- 1543-0154
- OpenAlex
- W2061397725
- Cited by
- 213
- References
- 33
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 6 · 2023: 9 · 2022: 15 · 2021: 16 · 2020: 14 · 2019: 28 · 2018: 26 · 2017: 24 · 2016: 27 · 2015: 27 · 2014: 13 · 2013: 5
- FWCI
- 25.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Cancer Education (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Health › Social Media in Health Education
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- health information seeking, health care agencies, healthcare workers, patient safety, health information reliability
- MeSH terms
- Delivery of Health Care, Humans, Medical Informatics Applications, Neoplasms, Software, Health Behavior, Cell Phone, Information Seeking Behavior
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