Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24117
Title: Smartphone applications for melanoma detection by community, patient and generalist clinician users: A review
Authors: Kassianos, Angelos P. 
Emery, Jon 
Murchie, Peter 
Walter, Fiona M. 
Major Field of Science: Medical and Health Sciences
Field Category: Other Medical Sciences
Keywords: Melanoma;Mobile Applications;Self-Examination;Telemedicine
Issue Date: 1-Jun-2015
Source: British Journal of Dermatology, 2015, vol. 172, no. 6, pp. 1507–1518
Volume: 172
Issue: 6
Start page: 1507
End page: 1518
Journal: The British Journal of Dermatology 
Abstract: Smartphone health applications ('apps') are widely available but experts remain cautious about their utility and safety. We reviewed currently available apps for the detection of melanoma (July 2014), aimed at general community, patient and generalist clinician users. A proforma was used to extract and assess each app that met the inclusion criteria, and we undertook content analysis to evaluate their content and the evidence applied in their development. Thirty-nine apps were identified with the majority available only for Apple users. Over half (n = 22) provided information or education about melanoma, ultraviolet radiation exposure prevention advice, and skin self-examination strategies, mainly using the ABCDE (A, Asymmetry; B, Border; C, Colour; D, Diameter; E, Evolving) method. Half (n = 19) helped users take and store images of their skin lesions either for review by a dermatologist or for self-monitoring to identify change, an important predictor of melanoma; a similar number (n = 18) used reminders to help users monitor their skin lesions. A few (n = 9) offered expert review of images. Four apps provided a risk assessment to patients about the probability that a lesion was malignant or benign, and one app calculated users' future risk of melanoma. None of the apps appeared to have been validated for diagnostic accuracy or utility using established research methods. Smartphone apps for detecting melanoma by nonspecialist users have a range of functions including information, education, classification, risk assessment and monitoring change. Despite their potential usefulness, and while clinicians may choose to use apps that provide information to educate their patients, apps for melanoma detection require further validation of their utility and safety. What's already known about this topic? Earlier detection of melanoma would allow timely treatment and could improve outcomes. Although smartphone applications ('apps') are recognized as having potentially wide use in dermatology and oncology, experts have expressed caution concerning their diagnostic utility and safety. What does this study add? We identified almost 40 smartphone apps available to detect or prevent melanoma by nonspecialist users including previously unaffected individuals, patients previously diagnosed with skin cancer, and generalist clinicians. Most apps gave advice or education about melanoma, ultraviolet radiation exposure preventive advice, and skin self-examination strategies; half of the apps enabled patients to capture and store images of their skin lesions either for review by a dermatologist or for self-monitoring to identify change, an important predictor of melanoma; only four apps provided a risk assessment about a skin lesion. There was little evidence of clinical or research-based input into the design of these apps or of evaluation of their utility, so clinicians should be cautious about supporting the use of such apps to detect melanoma.
URI: https://hdl.handle.net/20.500.14279/24117
ISSN: 00070963
DOI: 10.1111/bjd.13665
Rights: © The Author(s).
Type: Article
Affiliation : University of Cambridge 
University of Melbourne 
University of Aberdeen 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
2015 - Kassianos A88.27 kBUnknownView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

113
checked on Feb 1, 2024

WEB OF SCIENCETM
Citations

86
Last Week
0
Last month
2
checked on Oct 29, 2023

Page view(s)

209
Last Week
1
Last month
2
checked on Dec 22, 2024

Download(s) 20

96
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons