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Cost-Effectiveness Analysis of a Skin Awareness Intervention for Early Detection of Skin Cancer Targeting Men Older Than 50 Years
Authors:Louisa G. Gordon  Joshua Brynes  Peter D. Baade  Rachel E. Neale  David C. Whiteman  Philippa H. Youl  Joanne F. Aitken  Monika Janda
Affiliation:1. Population Health Department, QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia;2. NHMRC Centre for Research Excellence in Sun and Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia;3. Centre for Applied Health Economics, Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, Australia;4. Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Queensland, Australia;5. Cancer Council Queensland, Spring Hill, Queensland, Australia;6. School of Public Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia
Abstract:

Objectives

To assess the cost-effectiveness of an educational intervention encouraging self-skin examinations for early detection of skin cancers among men older than 50 years.

Methods

A lifetime Markov model was constructed to combine data from the Skin Awareness Trial and other published sources. The model incorporated a health system perspective and the cost and health outcomes for melanoma, squamous and basal cell carcinomas, and benign skin lesions. Key model outcomes included Australian costs (2015), quality-adjusted life-years (QALYs), life-years, and counts of skin cancers. Univariate and probabilistic sensitivity analyses were undertaken to address parameter uncertainty.

Results

The mean cost of the intervention was A$5,298 compared with A$4,684 for usual care, whereas mean QALYs were 7.58 for the intervention group and 7.77 for the usual care group. The intervention was thus inferior to usual care. When only survival gain is considered, the model predicted the intervention would cost A$1,059 per life-year saved. The likelihood that the intervention was cost-effective up to A$50,000 per QALY gained was 43.9%. The model was stable to most data estimates; nevertheless, it relies on the specificity of clinical diagnosis of skin cancers and is subject to limited health utility data for people with skin lesions.

Conclusions

Although the intervention improved skin checking behaviors and encouraged men to seek medical advice about suspicious lesions, the overall costs and effects from also detecting more squamous and basal cell carcinomas and benign lesions outweighed the positive health gains from detecting more thin melanomas.
Keywords:benign skin lesions  cost-effectiveness  early detection  keratinocyte skin cancer  melanoma  skin examinations
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