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Performance of the Self-Controlled Case Series for Drug Safety Signal Detection: A Multi-Database Study.

Astrid Coste¹, Angel Y S Wong¹, Francois Haguinet²

¹Department of Non-Communicable Diseases Epidemiology, LSHTM, London, UK.

Pharmacoepidemiology and Drug Safety

|February 13, 2026

Summary

Combining multiple health databases significantly improves the Self-Controlled Case Series (SCCS) method for drug safety signal detection. This multi-database approach enhances sensitivity and specificity, leading to more reliable identification of adverse drug events.

Keywords:

claims data electronic health records pharmacoepidemiology pharmacovigilance real‐world data self‐controlled case series signal detection

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Area of Science:

Pharmacovigilance and pharmacoepidemiology
Biostatistics and data science

Background:

The Self-Controlled Case Series (SCCS) method's performance for drug safety signal detection varies across different healthcare databases.
Limited comparative analyses exist, leaving uncertainty about whether combining databases can enhance SCCS performance.

Purpose of the Study:

To compare the diagnostic performance of the SCCS method across multiple data sources for signal detection.
To evaluate if combining databases improves SCCS performance in identifying potential drug-related adverse events.

Main Methods:

Applied the SCCS method to macrolides and fluoroquinolone antibiotics across four diverse databases.
Utilized a reference set of 104 positive and 58 negative drug-outcome controls, validated for SCCS suitability.
Measured diagnostic performance (sensitivity, specificity, AUC) for individual and combined databases.

Main Results:

SCCS sensitivity ranged from 0.57-0.89 and specificity from 0.43-0.77 across individual databases.
Combining all databases yielded maximum sensitivity (0.89-1.0), though specificity varied (0.35-0.41).
The highest Area Under the Curve (AUC) of 0.76 was achieved by combining CPRD and MarketScan Commercial Claims databases.

Conclusions:

SCCS performance for signal detection is highly variable across databases due to population, coding, and prescribing differences.
Multi-database studies demonstrably enhance the performance of the SCCS method for drug safety signal detection.