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.
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