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
en Zh
| WPRIM
| ID: wpr-935430
Biblioteca responsable:
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
Base de datos:
WPRIM
Asunto principal:
Reproducibilidad de los Resultados
/
Atención a la Salud
/
Macrodatos
Aspecto:
Determinantes_sociais_saude
Límite:
Humans
Idioma:
Zh
Revista:
Chinese Journal of Epidemiology
Año:
2022
Tipo del documento:
Article