Research Data Leeds Repository

Citation

Wilson, Liz, Nix, Ollie, Janda, Monika, Soyer, Peter, Smith, Samuel G. and Green, Sophie (2026) Development and validation of the Melanoma Cancer Awareness Measure - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1865

Dataset description

The time taken to recognise a melanoma symptom and seek medical attention is the third longest of all cancers in the UK. There is no validated measure to assess public awareness of melanoma. In this study, we aimed to develop and validate a Melanoma Cancer Awareness Measure (M-CAM). We generated items for symptoms and risk factors of melanoma from national cancer guidelines and patient information websites, which were reviewed by an expert panel. We undertook 3 validation studies. To assess internal and test-retest reliability the general public (n=32) completed the M-CAM on two occasions (~14 days apart). Construct validity was assessed by comparing expert (n=35) and general public (n=100) responses to the M-CAM. Sensitivity to change was established by comparing responses of participants randomly allocated to read a control leaflet (n=32) or a melanoma leaflet (n=29).

Keywords:	melanoma, cancer awareness measure, skin cancer
Divisions:	Faculty of Medicine and Health > School of Medicine > Leeds Institute of Health Sciences (LIHS)
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	29 Jun 2026 11:34
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1567
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Wilson, Liz https://orcid.org/0009-0006-4050-8695 University of Leeds https://ror.org/024mrxd33 ror Nix, Ollie University of Leeds https://ror.org/024mrxd33 ror Janda, Monika https://orcid.org/0000-0002-1728-8085 University of Queensland https://ror.org/00rqy9422 ror Soyer, Peter https://orcid.org/0000-0002-4770-561X University of Queensland https://ror.org/00rqy9422 ror Smith, Samuel G. https://orcid.org/0000-0003-1983-4470 University of Leeds https://ror.org/024mrxd33 ror Green, Sophie https://orcid.org/0000-0002-2622-5377 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: NIHR, YCR Grant numbers: NIHR300588, NIHR305132, L389SS, This report is independent research supported by the National Institute for Health Research NIHR Advanced Fellowship, Dr Samuel Smith NIHR300588. SS also acknowledges funding support from a Yorkshire Cancer Research Universi Publication date: 2026 Resource language: English Publisher: University of Leeds Contact email: s.smith1@leeds.ac.uk Last Modified: 29 Jun 2026 11:45

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Documentation

readme_Green_et_al_2026.txt [3kB] readme_Green_et_al_2026.txt [3kB] readme_Green_et_al_2026.txt [3kB] Security: Anyone File name: readme_Green_et_al_2026.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Melanoma_data_cleaned_v1.0_Share.sav [74kB] Melanoma_data_cleaned_v1.0_Share.sav [74kB] Melanoma_data_cleaned_v1.0_Share.sav [74kB] Security: Anyone File name: Melanoma_data_cleaned_v1.0_Share.sav Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 74kB