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This study evaluates how multiple data sources enhance case ascertainment of stroke in a population-based registry.

Abstract Number: Esoc2026a1772 Why Population-Based Registries Are Essential for Comprehensive Stroke Case Ascertainment

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Randomized trial assesses data source contributions to stroke case identification in Lille, highlighting improved monitoring.

This study evaluates how multiple data sources enhance case ascertainment of stroke in a population-based registry.
Recorded stroke events among residents of Lille from 2015 to 2023.
Utilized various local data sources including hospitals, clinics, and emergency services for case identification.
Analyzed the proportion of cases identified through multiple and complementary data sources.
2928 stroke cases were recorded in total, with 96.0% identified from more than one source.
On average, each case utilized 3.6 sources, with major contributions from the Hospital Discharge Database (89.5%) and discharge summaries (89.0%).
Without multiple sources, significant cases would be missed, as non-hospital data identified an additional 4.3% of cases.

Moustafiades et al. (2026) studied this question.

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