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Ill-defined and multiple causes on death certificates--a study of misclassification in mortality statistics
M D'Amico1, E Agozzino, A Biagino
1Preventive department Local Health Authority (ASL) Naples, Italy.
European Journal of Epidemiology
|April 16, 1999
Summary
Mortality data quality is compromised by biases in cause-of-death coding. Misclassification of ill-defined and multiple causes significantly impacts epidemiological data accuracy, requiring improved physician training and multicausal analysis.
Area of Science:
- Epidemiology
- Public Health
- Medical Statistics
Background:
- Mortality data is a crucial epidemiological resource, but biases can distort its value.
- Accurate cause-of-death assignment is essential for reliable public health surveillance.
- Previous studies highlight potential issues with coding ill-defined and multiple causes.
Purpose of the Study:
- To assess the extent of misclassification in underlying cause of death assignments.
- To identify shortcomings in the International Classification of Diseases, Ninth Revision (ICD-IX) for ill-defined and multiple causes.
- To investigate the impact of physician interviews and clinical records on improving cause-of-death accuracy.
Main Methods:
- A random sample of 372 death certificates from Naples, Italy (1994) reporting ill-defined or multiple causes was analyzed.
- The initially assigned ICD-IX code for the underlying cause was compared with a modified code.
- The modified code was determined through interviews with certifying physicians or review of clinical records.
Main Results:
- Ill-defined causes accounted for 7.0% of death certificates, including cardiovascular diseases, unspecified tumors, and senility.
- Significant disagreement (53.8%) was found between assigned and modified codes for ill-defined causes, particularly when certified by family physicians.
- Multiple causes were present in 23.6% of certificates, with disagreement in 54.5% of these cases; concurrence of causes was noted in 10 instances.
Conclusions:
- Specific training for physicians on certification procedures alone is insufficient; awareness of data's epidemiological importance is needed.
- Evidence-based educational interventions are necessary to improve the quality of mortality data.
- Multicausal analysis may be indicated for deaths resulting from a concurrence of causes to enhance accuracy.