Core data set para la generación de datos de la vida real en esclerosis múltiple: adaptación de una iniciativa global para América Latina
; Abad Herrera, Patricio ; Carnero Contentti, Edgar ; Carrá, Adriana ; Correa Díaz, Edgar P. ; Correale, Jorge ; Cristiano, Edgardo ; Flores, Jose ; Fruns Quintana, Manuel ; Galleguillos, Lorna ; Garcea, Orlando ; Hamuy Díaz de Bedolla, Fernando ; Lana Peixoto, Marco ; Navas, Carlos ; Pappais Alvarenga, Regina ; Patrucco, Liliana ; Rivera, Victor ; Tenembaum, Sílvia ; Ysrraelit, María C. ; Peeters, Liesbet M. Otros responsables
Fecha
04/2024
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Revista de Neurologia
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Revista de Neurología
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0210-0010
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Español
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Introduction: The primary objective of the core data set is to reduce heterogeneity and promote harmonization among data sources in EM, thereby reducing the time needed to execute real life data collection efforts. Recently, a group led by the Multiple Sclerosis Data Alliance has developed a core data set for collecting real-world data on multiple sclerosis (MS) globally. Our objective was to adapt this global data set to the needs of Latin America, so that it can be implemented by the registries already developed and in the process of development in the region.Material and methods: A working group was formed regionally, the core data set created globally was adapted (translation process into Spanish, incorporation of regional variables and consensus on variables to be used). Consensus was obtained through the remote Delphi methodology of a round of questionnaires and remote discussion of the core data set variables.Results: A total of 25 professionals from Latin America carried out the adaptation process between November 2022 and July 2023. Agreement was established on a core data set of nine categories and 45 variables, version 2023 to suggest its implementation in developed or developing registries, and MS cohorts in the region.Conclusion: The core data set seeks to harmonize the variables collected by registries and cohorts in MS in Latin America in order to facilitate said collection and allow collaboration between sources. Its implementation will facilitate real life data collection and collaboration in the region.
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