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
| ID: wpr-935430
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
Index:
WPRIM (Western Pacific)
Main subject:
Reproducibility of Results
/
Delivery of Health Care
/
Big Data
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Epidemiology
Year:
2022
Type:
Article
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