High completeness of the brest stroke registry evidenced by analysis of sources and capture-recapture method
1Service de Neurologie et Unité Neuro-Vasculaire, CHRU Brest, Brest, France.
Insights
The Brest Stroke Registry effectively captures stroke cases using multiple data sources and neurologist verification, achieving over 90% completeness. This reliable data is crucial for understanding stroke burden and conducting epidemiological studies.
Area of Science:
- Neurology
- Epidemiology
- Public Health
Background:
- Population-based stroke registries are essential for accurately assessing the burden of stroke.
- The Brest Stroke Registry's methodology and completeness estimation are detailed.
- Understanding stroke incidence requires robust data collection methods.
Purpose of the Study:
- To describe the methodology of the Brest Stroke Registry.
- To estimate the completeness of the Brest Stroke Registry.
- To provide reliable data for epidemiological studies on stroke.
Main Methods:
- Utilized 'hot pursuit' and 'cold pursuit' strategies for case identification.
- Included five sources: emergency wards, brain imaging, practitioners, death certificates, and electronic hospital records.
- Employed capture-recapture methods to estimate registry completeness, with neurologist certification for all cases meeting WHO stroke criteria or neurological deficits lasting over 1 hour.
Main Results:
- Collected 851, 898, and 823 stroke cases in 2008, 2009, and 2010, respectively.
- Capture-recapture analysis indicated a data completeness exceeding 90%.
- Standardized cumulative first-ever stroke incidence was consistently around 85-87 per 100,000 population.
Conclusions:
- Neurologist-led case ascertainment, combined with multiple data sources and active pursuit strategies, ensures a comprehensive dataset.
- The Brest Stroke Registry demonstrates high completeness, making it suitable for epidemiological research.
- This methodology provides a reliable foundation for future stroke burden and incidence studies.
Background:
Population-based stroke registries are necessary to evaluate the precise burden of stroke. The methodology used in the Brest Stroke Registry and an estimation of its completeness are described.
Methods:
'Hot pursuit' as well as 'cold pursuit' were used, and five sources of identification were included: emergency wards, brain imaging, practitioners, death certificates and hospital-based electronic research. Ascertainment for each case was certified by a neurologist. Inclusion criteria were: (1) age >15 years; (2) a stroke defined by WHO criteria or all neurological deficits lasting at least 1 h. Completeness was estimated using capture-recapture method.
Results:
For 2008, 2009 and 2010, 851, 898, 823 patients were collected, respectively. The number of sources of identification per patient was as follows: one source: 30.8, 24.1 and 18.7%; two sources: 54.5, 42.9 and 31.0%; three sources: 13.4, 30.1 and 46%; four sources: 1.3, 3.0 and 3.8%. Capture-recapture analysis showed data completeness over 90%. Standardized cumulative first-ever stroke incidence using a world standard population was 87 in 2008, 87 in 2009 and 84 in 2010.
Conclusions:
Case ascertainment by a neurologist, numerous sources, as well as 'hot' and 'cold' pursuit can provide a reliably large data set suitable for further epidemiological studies.
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