Italian Melanoma Intergroup tele-genetic counseling project for melanoma predisposition syndromes: five-year evaluation of effectiveness and outcomes

This study assessed the implementation of a tele-genetic counseling (TGC) pathway for hereditary melanoma risk using the culturally adapted Italian Melanoma Intergroup Tele-Genomics Outcome Scale (IMI-TGOS) questionnaire. Among 278 eligible patients, 177 (64%) completed the survey across three Italian centers. Responses showed high comprehension and perceived utility: 88% of participants reported understanding the information received, 96% recognized familial implications, and over 85% felt confident in managing risk and making decisions. While emotional responses were more varied, most respondents expressed confidence in future planning. These findings confirm the feasibility, acceptability, and informativeness of the IMI-TGOS in a remote counseling setting. The study supports the comparability of tele-genetic and in-person counseling in terms of understanding, retention, and decision-making. Moreover, the IMI-TGOS emerged as a promising tool for evaluating real-world genetic services. Broader adoption may help monitor outcomes and improve quality and equity in the expanding landscape of digital genetic care.

Authors

Institutions

Publication Details

Journal
Dermatology Reports
Published
2025-09-03
DOI
https://doi.org/10.4081/dr.2025.10510
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Italian Melanoma Intergroup tele-genetic counseling project for melanoma predisposition syndromes: five-year evaluation of effectiveness and outcomes

Emanuela Passoni, Giovanna Pogliaghi, Elena Maccaroni, Lorenza Pastorino et al.
Dermatology Reports
BRCA gene mutations in cancer
article

Italian Melanoma Intergroup tele-genetic counseling project for melanoma predisposition syndromes: five-year evaluation of effectiveness and outcomes

Emanuela Passoni, Giovanna Pogliaghi, Elena Maccaroni, Lorenza Pastorino, Paola Ghiorzo, William Bruno, Bruna Dalmasso, Andrea Carugno, Francesca Morgese, Monica Barile
article en

Abstract

This study assessed the implementation of a tele-genetic counseling (TGC) pathway for hereditary melanoma risk using the culturally adapted Italian Melanoma Intergroup Tele-Genomics Outcome Scale (IMI-TGOS) questionnaire. Among 278 eligible patients, 177 (64%) completed the survey across three Italian centers. Responses showed high comprehension and perceived utility: 88% of participants reported understanding the information received, 96% recognized familial implications, and over 85% felt confident in managing risk and making decisions. While emotional responses were more varied, most respondents expressed confidence in future planning. These findings confirm the feasibility, acceptability, and informativeness of the IMI-TGOS in a remote counseling setting. The study supports the comparability of tele-genetic and in-person counseling in terms of understanding, retention, and decision-making. Moreover, the IMI-TGOS emerged as a promising tool for evaluating real-world genetic services. Broader adoption may help monitor outcomes and improve quality and equity in the expanding landscape of digital genetic care.

Dermatology Reports
University of Insubria (IT), Marche Polytechnic University (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Surgical Specialties (United States) (US), Ospedale Policlinico San Martino (IT)
European Commission, Ministero della Salute
Openalex Percentile: Top 75%
BRCA gene mutations in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.