Database and Registry Research in Orthopaedic Surgery: Part I: Claims-Based Data

Area of Science:

• Orthopaedic Surgery
• Health Services Research
• Data Science

Background:

• Observational research in orthopaedic surgery heavily relies on large-scale national databases.
• These datasets are broadly classified into administrative claims and clinical registries.
• Administrative claims data, derived from healthcare service billing records, are extensively used.

Purpose of the Study:

• To review the utilization and characteristics of large-scale national databases in orthopaedic surgery research.
• To highlight the advantages and disadvantages of administrative claims data for studying musculoskeletal conditions and treatments.
• To emphasize the potential impact of these databases on clinical practice and health policy.

Main Methods:

• Analysis of administrative claims data, including Medicare claims and private claims.
• Inclusion of discharge databases like the U.S. National Inpatient Sample.
• Discussion of data characteristics, benefits (large patient numbers, longitudinal analysis), and limitations (coding precision, cost, complexity).

Main Results:

• Administrative claims data, particularly Medicare claims, offer robust insights into temporal trends, geographic variations, disparities, complications, outcomes, and resource utilization.
• These databases enable longitudinal patient tracking across different healthcare institutions.
• Despite challenges like imprecise coding and data manipulation complexity, these datasets are crucial for health policy and practice improvement.

Conclusions:

• Large-scale national databases, especially administrative claims, are indispensable tools for modern orthopaedic surgery research.
• The insights derived from these data have significant potential to influence clinical practice and shape health policy.
• Continued development and sophisticated analysis of these datasets will be critical in the evolving healthcare landscape.