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Identifying potential differences in cause-of-death coding practices across Russian regions.
Inna Danilova1, Vladimir M Shkolnikov2, Dmitri A Jdanov2
1Max Planck Institute for Demographic Research, Konrad-Zuse-Strasse 1, 18057 Rostock, Germany ; National Research University Higher School of Economics, Myasnitskaya St. 20, 101000 Moscow, Russia.
Population Health Metrics
|March 24, 2016
Summary
Cause of death coding varies significantly across Russian regions, impacting public health data reliability. Inconsistent coding for certain conditions like mental disorders suggests practices, not epidemiology, influence statistics.
Area of Science:
- Public Health
- Epidemiology
- Biostatistics
Background:
- Reliable cause-of-death data is vital for public health.
- Decentralized systems, like Russia's, risk inconsistent cause-of-death coding.
- Non-standardized coding hinders data comparability across regions and time.
Purpose of the Study:
- To evaluate the uniformity of cause-of-death coding practices across Russian regions.
- To identify specific causes of death with inconsistent coding.
- To assess spatial and temporal variations in coding practices.
Main Methods:
- Analyzed 2002-2012 mortality data from 52 Russian regions.
- Estimated prevalence of 70 major causes of death.
- Used deviation from inter-regional averages, heat maps, and regression models to assess coding consistency.
Main Results:
- High consistency observed for transport accidents, neoplasms, congenital malformations, and perinatal conditions.
- Significant inconsistency found for mental disorders, nervous system diseases, endocrine disorders, ill-defined causes, and some cardiovascular diseases.
- Broader diagnostic categories showed improved consistency.
Conclusions:
- Cause-of-death coding quality varies by region in Russia.
- Coding practices, not just epidemiology, influence mortality statistics for certain causes.
- Addressing coding inconsistencies is crucial for accurate public health analysis.
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