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Methodology progress and challenges on assessing the appropriateness of real-world data / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 578-585, 2022.
Article em Zh | WPRIM | ID: wpr-935430
Biblioteca responsável: WPRO
ABSTRACT
From the perspective of data users, ensuring the relevance and reliability of big data in healthcare and medicine via assessments on data appropriateness is a prerequisite for generating high-quality real-world evidence, which could guarantee good representativeness and generalizability of real-world studies. This review summarized the quality dimensions, definitions, evaluation indexes and calculating methods of assessment on the appropriateness of real-world data (RWD) according to guidance from different countries and international organizations, as well as exploring the opportunities and challenges for better assessing RWD appropriateness.
Assuntos
Texto completo: 1 Índice: WPRIM Assunto principal: Reprodutibilidade dos Testes / Atenção à Saúde / Big Data Limite: Humans Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2022 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Assunto principal: Reprodutibilidade dos Testes / Atenção à Saúde / Big Data Limite: Humans Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2022 Tipo de documento: Article