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
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-935430
Responsible library:
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.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Reproducibility of Results
/
Delivery of Health Care
/
Big Data
Aspects:
Social determinants of health
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Epidemiology
Year:
2022
Document type:
Article