Commercial Claims Data Sources: PearlDiver and Individual Payer Databases

Area of Science:

• Health Services Research
• Biostatistics
• Orthopaedic Surgery

Background:

• Commercial claims databases, including IBM MarketScan and PearlDiver, capture deidentified health-care encounter data from individuals with participating insurance plans.
• These datasets include demographics, enrollment periods, procedures, diagnoses, service dates, settings, and dispensed medications.

Purpose of the Study:

• To evaluate the utility of commercial claims data for orthopaedic research.
• To identify the strengths and limitations of these data sources for clinical studies.

Main Methods:

• Analysis of data structure and content within commercial claims databases.
• Assessment of data suitability for specific research questions in orthopaedics.

Main Results:

• Claims data provide comprehensive information on healthcare utilization, diagnoses, and procedures.
• Limitations include potential for over/under-recording of diagnoses and confounders, and restricted long-term follow-up due to coverage continuity issues.

Conclusions:

• Commercial claims data are valuable resources for orthopaedic studies, particularly for investigating short-term outcomes.
• Researchers must be aware of data limitations, such as potential biases and restricted follow-up periods, when utilizing these sources.