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Updated: Sep 26, 2025
11:21
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
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[Methodology progress and challenges on assessing the appropriateness of real-world data]
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Summary
Ensuring real-world data (RWD) appropriateness is crucial for high-quality evidence. This review details RWD quality dimensions, evaluation methods, and future challenges for reliable healthcare research.
Area of Science:
- Healthcare Data Science
- Real-World Evidence Research
- Biomedical Informatics
Background:
- High-quality real-world evidence (RWE) relies on appropriate healthcare data.
- Assessing the relevance and reliability of big data is essential for data users.
- Real-world studies require representative and generalizable data.
Purpose of the Study:
- To review quality dimensions for assessing real-world data (RWD) appropriateness.
- To summarize definitions, evaluation indexes, and calculation methods for RWD appropriateness.
- To explore opportunities and challenges in RWD appropriateness assessment.
Main Methods:
- Systematic literature review of international guidelines and organizational recommendations.
- Analysis of quality dimensions, definitions, and evaluation metrics for RWD appropriateness.
- Exploration of current practices and future directions in RWD assessment.
Main Results:
- Identified key quality dimensions for evaluating RWD appropriateness.
- Detailed various evaluation indexes and calculation methods used globally.
- Highlighted the importance of standardized assessment frameworks for RWD.
Conclusions:
- Robust assessment of RWD appropriateness is fundamental for generating trustworthy RWE.
- Addressing identified challenges will enhance the utility and reliability of RWD in medical research.
- Standardized approaches are needed to improve the generalizability and representativeness of real-world studies.
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