Related Experiment Video
Updated: Nov 17, 2025

07:43
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
3.3K
Real-World Evidence: A Review of Real-World Data Sources Used in Orthopaedic Research
David J Hak1, John I Mackowiak2, Debra E Irwin3
1Hughston Orthopaedic Trauma Surgeons, Central Florida Regional Hospital, Sanford, FL.
Journal of Orthopaedic Trauma
|February 15, 2021
Summary
Real-world data (RWD) is crucial in orthopaedics, with linked datasets offering enhanced research value. Understanding data source strengths, weaknesses, and quality is vital for valid studies.
Area of Science:
- Orthopaedic research utilizing real-world data (RWD).
- Health informatics and data science applications in orthopaedics.
Background:
- Real-world data (RWD) is increasingly utilized in orthopaedic research.
- Publications using registry, administrative, and other databases are rapidly growing.
- Each RWD source possesses unique strengths and limitations.
Purpose of the Study:
- To describe the main types of RWD employed in orthopaedics.
- To provide an overview of selected key RWD sources and their publications.
- To highlight the importance of considering data source qualities and linkages.
Main Methods:
- Review and description of common RWD sources in orthopaedics.
- Analysis of the utility and value of linked RWD sets.
- Emphasis on data quality assessment and appropriate analytical techniques.
Main Results:
- Identification of various RWD types used in orthopaedic studies.
- Demonstration of increased research utility through data linkages.
- Discussion of considerations for selecting and using RWD sources.
Conclusions:
- RWD is a valuable asset in orthopaedic research, enhancing study scope and impact.
- Careful consideration of data source characteristics and linkage utility is essential.
- Rigorous attention to data quality and analytical methods ensures the validity of RWD-based orthopaedic studies.

