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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