TY - JOUR
T1 - I registri come importante fonte di real world data
T2 - l’esperienza del Registro Italiano Sclerosi Multipla e Patologie Correlate
AU - Comitato scientifico del Registro Italiano Sclerosi Multipla e Patologie Correlate
AU - Rete dei Centri del Registro Italiano Sclerosi Multipla e Patologie Correlate
AU - Rete degli assistenti di ricerca del Registro Italiano Sclerosi Multipla e Patologie Correlate
AU - Ponzio, Michela
AU - Battaglia, Mario Alberto
AU - Trojano, Maria
AU - Salivetto, Marco
AU - D’ettorre, Antonio
AU - Corrado, Donatella
AU - Paletta, Pasquale
AU - Lepore, Vito
AU - Mosconi, Paola
AU - Trojano, Maria
AU - Battaglia, Mario Alberto
AU - Mosconi, Paola
AU - Gasperini, Claudio
AU - Cocco, Eleonora
AU - Inglese, Matilde
AU - Tortorella, Carla
AU - Capobianco, Marco
AU - Amato, Maria Pia
AU - Comi, Giancarlo
AU - Filippi, Massimo
AU - Passantino, Francesco
AU - Danni, Maura Chiara
AU - Totaro, Rocco
AU - Scarano, Valentina
AU - Gatto, Maurizia
AU - Iaffaldano, Pietro
AU - Margari, Lucia
AU - Bonaventura, Ardito
AU - Barcella, Valeria
AU - Capone, Lorenzo
AU - Lugaresi, Alessandra
AU - Rini, Augusto
AU - Merello, Maria
AU - Bianchi, Marta
AU - Cocco, Eleonora
AU - Cerullo, Giovanni
AU - Luca, Giovanna De
AU - Capobianco, Marco
AU - Turano, Gabriella
AU - Clerici, Raffaella
AU - Mascoli, Nerina
AU - Ferrò, Maria Teresa
AU - Patti, Francesco
AU - Matta, Francesca
AU - Valentino, Paola
AU - Strumia, Silvia
AU - Avolio, Carlo
AU - Crociani, Paola
AU - Amato, Maria Pia
AU - Massacesi, Luca
N1 - Publisher Copyright:
© 2024, Inferenze Scarl. All rights reserved.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - Registers collecting data from clinical practice (real world data) have gained increasing interest in recent years in the scientific, administrative, and regulatory fields. The value of longitudinal data collection in deepening knowledge about a specific pathology and its healthcare complexity is increasingly recognized. This article describes the development, organizational structure, and technical characteristics of the Italian Multiple Sclerosis and Related Disorders Register (RISM). This multicentre and prospective study gathers demographic, clinical, and epidemiological data from the Italian population with multiple sclerosis and related diseases. The study, officially launched in 2015, but containing data collected since the 1990’s, currently involves the active participation of 136 specialized clinical centres and more than 80,000 enrolled patients. The analysis of data in RISM allows for a detailed description of the characteristics of multiple sclerosis and related diseases, providing new insights useful for healthcare planning, cost evaluation, treatment efficacy and safety assessment, and scientific research studies. The main demographic and clinical data of enrolled patients are reported, with a focus on specific study cohorts. In a continuous effort to improve data quality, RISM has implemented specific quality indicators. Starting from the RISM experience, crucial aspects such as the institutional recognition of the disease register, the contribution that register can provide in pharmacovigilance studies, the organizational and management challenges, and privacy issues are discussed.
AB - Registers collecting data from clinical practice (real world data) have gained increasing interest in recent years in the scientific, administrative, and regulatory fields. The value of longitudinal data collection in deepening knowledge about a specific pathology and its healthcare complexity is increasingly recognized. This article describes the development, organizational structure, and technical characteristics of the Italian Multiple Sclerosis and Related Disorders Register (RISM). This multicentre and prospective study gathers demographic, clinical, and epidemiological data from the Italian population with multiple sclerosis and related diseases. The study, officially launched in 2015, but containing data collected since the 1990’s, currently involves the active participation of 136 specialized clinical centres and more than 80,000 enrolled patients. The analysis of data in RISM allows for a detailed description of the characteristics of multiple sclerosis and related diseases, providing new insights useful for healthcare planning, cost evaluation, treatment efficacy and safety assessment, and scientific research studies. The main demographic and clinical data of enrolled patients are reported, with a focus on specific study cohorts. In a continuous effort to improve data quality, RISM has implemented specific quality indicators. Starting from the RISM experience, crucial aspects such as the institutional recognition of the disease register, the contribution that register can provide in pharmacovigilance studies, the organizational and management challenges, and privacy issues are discussed.
KW - database
KW - disease register
KW - multiple sclerosis
KW - real world data
UR - http://www.scopus.com/inward/record.url?scp=85205151774&partnerID=8YFLogxK
U2 - 10.19191/EP24.4-5.A795.100
DO - 10.19191/EP24.4-5.A795.100
M3 - Article
C2 - 39329242
AN - SCOPUS:85205151774
SN - 1120-9763
VL - 48
SP - 361
EP - 374
JO - Epidemiologia e prevenzione
JF - Epidemiologia e prevenzione
IS - 4-5
ER -