Cost-of-Illness of Skin Cancer: A Systematic Review.

Background: Skin cancer's rising incidence demands understanding of its economic impact. The current understanding is fragmented because of the various methodological approaches applied in skin cancer cost-of-illness studies.

Objective: This study systematically reviews melanoma and keratinocyte carcinoma cost-of-illness studies to provide an overview of the applied methodological approaches and to identify the main cost drivers.

Methods: This systematic review was conducted adhering to the 2020 PRISMA guidelines. PubMed, Embase, and Web of Science were searched from December 2022 until December 2023 using a search strategy with entry terms related to the concepts of skin cancer and cost of illness. The records were screened on the basis of the title and abstract and subsequently on full text against predetermined eligibility criteria. Articles published before 2012 were excluded. A nine-item checklist adapted for cost-of-illness studies was used to assess the methodological quality of the articles.

Results: This review included a total of 45 studies, together evaluating more than half a million patients. The majority of the studies (n = 36) focused on melanoma skin cancer, a few (n = 3) focused on keratinocyte carcinomas, and 6 studies examined both. Direct costs were estimated in all studies, while indirect costs were only estimated in nine studies. Considerable heterogeneity was observed across studies, mainly owing to disparities in study population, methodological approaches, included cost categories, and differences in healthcare systems. In melanoma skin cancer, both direct and indirect costs increased with progressing tumor stage. In advanced stage melanoma, systemic therapy emerged as the main cost driver. In contrast, for keratinocyte carcinoma no obvious cost drivers were identified.

Conclusions: A homogeneous skin cancer cost-of-illness study design would be beneficial to enhance between-studies comparability, identification of cost drivers, and support evidence-based decision-making for skin cancer.