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Healthcare costs of cutaneous melanoma according to comorbidity patterns

A population-based study from the Regional Cancer Registry of the Veneto Region

Bibliographic Data

ID22069077
AuthorsAlessandra Buja (0000-0003-2216-3807, University of Padua), Fortunato Cassalia (0000-0002-5014-1122, University of Padua), Massimo Rugge (0000-0002-0679-0563, University of Padua), Chiara Trevisiol (0000-0002-6063-7930, Istituto Oncologico Veneto, corresponding author), Manuel Zorzi (0000-0001-6025-5214, Regione del Veneto), Paolo Del Fiore (0000-0002-2862-8014, Istituto Oncologico Veneto), Ilaria Pantaleo (University of Padua), Carlo Riccardo Rossi (0000-0001-7875-5655, University of Padua), Pierfranco Conte (0000-0002-5210-5344, IRCCS San Camillo Hospital), Anna Belloni Fortina (0000-0001-5791-0775, University of Padua), Simone Mocellin (0000-0002-9433-8445, University of Padua)
Year2025
Volume13
Pages1668198-1668198
Publication date2025-10-17
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1668198
PMID41179802
OpenAlexW4415297325
LanguageEN
References cited26

Background: Cutaneous malignant melanoma represents a notable public health issue, characterized by a rapidly increasing incidence, particularly among younger populations. Despite progress in early detection and treatment modalities, this rising trend exacerbates the healthcare system's burden. Limited research has been conducted on the impact of comorbidities on overall and melanoma-specific healthcare costs incurred by patients with melanoma. The objective of this study is to assess how various comorbidity patterns influence healthcare costs in this patient population. Methods: This retrospective cohort study reviewed data from the Regional Cancer Registry of the Veneto Region (RTV) for melanoma diagnoses in 2019 and 2021. Patients were grouped into specific comorbidity clusters using latent class analysis, and the effect of these patterns on melanoma healthcare costs was evaluated from a health system perspective, considering only the direct costs incurred by the regional health care service. Results: The study included 2,978 cases of incident melanoma. The 2,114 patients with comorbidity data available were categorized into three comorbidity clusters: Circulatory-Metabolic-Respiratory, Psychosocial-Pregnancy related, and Multiorgan-Trauma. The mean unadjusted overall and melanoma-specific cumulative expenditure per patient increased with the number of comorbidities: melanoma-specific healthcare resources were € 13,537 (no comorbidity), € 16,828 (one comorbidity), € 20,396 (Multiorgan-Trauma cluster). Hospitalizations were the primary driver of cost escalation, particularly for patients with Multiorgan-Trauma comorbidities. Conclusion: Comorbidity patterns significantly impact melanoma management and related healthcare costs. Understanding these patterns can help optimize resource allocation and improve patient management strategies

Cancer · Cancer registry · Comorbidity · Disease management · Health care · Health professionals · Healthcare system · Cancer survivorship and care · Cutaneous Melanoma Detection and Management · Economic and Financial Impacts of Cancer

  • Thirty-two-year trends of cancer incidence by sex and cancer site in the Veneto Region from 1987 to 2019

    Open Access•Alessandra Buja, Giuseppe De Luca et al.•Frontiers in Public Health•2024

Highly citedNo

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