Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/24086
Title: Identifying people at higher risk of melanoma across the U.K.: a primary-care-based electronic survey
Authors: Usher-Smith, Juliet A. 
Kassianos, Angelos P. 
Emery, Jon David 
Abel, Gary 
Teoh, Z. 
Hall, Susan 
Neal, Richard 
Murchie, Peter 
Walter, Fiona 
Major Field of Science: Medical and Health Sciences
Field Category: Other Medical Sciences
Keywords: Melanoma;Williams self-assessed clinical risk estimation model
Issue Date: Apr-2017
Source: The British Journal of Dermatology, 2017, vol. 176, no. 4, pp. 939–948
Volume: 176
Issue: 4
Start page: 939
End page: 948
Journal: The British Journal of Dermatology 
Abstract: Background: Melanoma incidence is rising rapidly worldwide among white populations. Defining higher-risk populations using risk prediction models may help targeted screening and early detection approaches. Objectives: To assess the feasibility of identifying people at higher risk of melanoma using the Williams self-assessed clinical risk estimation model in U.K. primary care. Methods: We recruited participants from the waiting rooms of 22 general practices covering a total population of > 240 000 in three U.K. regions: Eastern England, North East Scotland and North Wales. Participants completed an electronic questionnaire using tablet computers. The main outcome was the mean melanoma risk score using the Williams melanoma risk model.
URI: https://hdl.handle.net/20.500.14279/24086
ISSN: 00070963
DOI: 10.1111/bjd.15181
Rights: © The Authors.British Journal of Dermatology
Type: Article
Affiliation : University of Cambridge 
University College London 
University of Melbourne 
Betsi Cadwaladr University Health Board 
University of Aberdeen 
Bangor University 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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