Real-world evaluation of the use of melanoma risk prediction tools by clinicians in Australia: a mixed-methods study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Melanoma risk prediction tools have been developed to assist with estimating a person’s risk of developing a primary melanoma, yet their integration into clinical practice and their influence on decision making remains poorly understood. Using a mixed-methods approach, we aimed to evaluate the use of two online melanoma risk prediction tools – one for estimating risk of a first primary melanoma and the other for estimating risk of a subsequent primary melanoma – by clinicians in Australia. We found that the first primary and subsequent primary melanoma risk prediction tools were accepted by clinicians for use in routine practice; however, variability in their use and challenges in interpreting and applying risk results may hinder their full potential.
Source: British Journal of Dermatology
DOI: 10.1093/bjd/ljag003
Authors: Gillian Reyes-Marcelino, Rehana A Salam, David Espinoza, Caroline G Watts, Julia Steinberg, Yoon-Jung Kang, Linda K Martin, Pascale Guitera, Serigne N Lo, Alexander H R Varey, Richard A Scolyer, Georgina V Long, Amelia K Smit, Anne E Cust
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,920
OpenAlex ID: W7119582004
