[Hospitalisations for acute myocardial infarction--comparing data from three different sources]
T G Grobe1, A Gerhardus, O A'Walelu
1Institut für Sozialmedizin, Epidemiologie und Gesundheitssystemforschung (ISEG), Hannover. grobe@iseg.org
Comparing hospitalisation data for acute myocardial infarction (AMI) from national statistics, sickness funds, and registries revealed inconsistencies. Merging sickness fund data may improve future AMI research accuracy.
Area of Science:
- Cardiology
- Health Services Research
- Biostatistics
Background:
- Hospitalisation data for acute myocardial infarction (AMI) are crucial for understanding disease burden and outcomes.
- Existing data sources, including national discharge statistics, sickness fund claims, and disease registries, have limitations in scope, detail, and representativeness.
- Comparing these sources is essential to identify optimal data collection methods for AMI surveillance.
Purpose of the Study:
- To compare the quality and consistency of hospitalisation data for acute myocardial infarction (AMI) from three distinct sources in Germany.
- To evaluate the strengths and weaknesses of national hospital discharge statistics, sickness fund claims data, and registry data for AMI research.
- To inform future strategies for improving the accuracy and utility of AMI data collection.
Main Methods:
- Analysis of hospital discharge statistics (Germany-wide, limited characteristics).
- Analysis of longitudinal claims data from sickness funds (more characteristics, single funds).
- Comparison with data from a specific disease registry (Augsburg, non-representative).
Main Results:
- Sickness fund data showed good consistency with national statistics for most AMI outcomes.
- Discrepancies were observed when comparing sickness fund data with registry data, particularly for case fatality rates and technology utilisation.
- No single data source was found to be ideal for comprehensive AMI analysis.
Conclusions:
- Methodological and regional variations contribute to observed differences in AMI data across sources.
- Individual-level data comparison is recommended for deeper insights into AMI incidence and treatment.
- The prospective merging of data from all statutory sickness funds holds promise for more valid AMI research and public health surveillance.
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