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Policy Challenges in Ultra-Rare Cancers: Ethical, Social, and Legal Implications of Melanoma Prevention and Diagnosis in Children, Adolescents, and Young Adults

  • Pietro Refolo*
  • , Costanza Raimondi
  • , Livio Battaglia
  • , Josep M Borràs
  • , Paula Closa
  • , Alessandra Lo Scalzo
  • , Marco Marchetti
  • , Sonia Muñoz López
  • , Joan Prades Perez
  • , Laura Sampietro-Colom
  • , Dario Sacchini*
  • *Corresponding author
  • Agenzia Nazionale per i Servizi Sanitari Regionali
  • August Pi i Sunyer Biomedical Research Institute
  • University of Barcelona

Research output: Contribution to journalArticle

Abstract

Background: The ultra-rare nature of melanoma in children, adolescents, and young adults poses significant challenges to the development and implementation of effective prevention and diagnostic strategies. This article delves into the ELSIs surrounding these strategies, placing particular emphasis on the transformative potential of AI-driven tools and applications. Methods: Using an exploratory sequential mixed methods approach, this study integrated a PICO-guided literature review and qualitative insights from two focus groups. The review included 26 peer-reviewed articles published in English from January 2019 to January 2024, addressing ELSIs in melanoma, rare diseases, and AI in dermatology. Focus groups included a March 2024 session in Berlin with 15 stakeholders (patients, caregivers, advocates, healthcare professionals) and a November 2024 online session with 5 interdisciplinary experts. Results: Six key priorities for healthcare policies emerged: addressing cultural factors, such as the glorification of tanned skin; enhancing professional training for accurate diagnosis; balancing the risks of overdiagnosis and underdiagnosis; promoting patient autonomy through transparent communication; reducing inequalities to ensure equitable access to care; and making ethical and legal use of AI in healthcare. Conclusion: These priorities provide a comprehensive framework for advancing the prevention and diagnosis of melanoma in children, adolescents, and young adults, leveraging AI technologies while prioritizing equitable and patient-centered healthcare delivery.
Original languageEnglish
Pages (from-to)321-N/A
JournalHEALTHCARE
Volume13
Issue number3
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Leadership and Management
  • Health Policy
  • Health Informatics
  • Health Information Management

Keywords

  • artificial intelligence (AI)
  • childhood melanoma (CHM)
  • early diagnosis
  • ethical
  • legal and social implications (ELSIs)
  • prevention
  • ultra-rare cancer

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