Assessment of the Quality of Cause-of-Death Data in Serbia for 2005-2019 Vital Statistics Performance Index Estimation

Marija Anđelković  Apostolović; Miodrag  Stojanović; Dragan  Bogdanović; Branislav  Apostolović; Marija  Topalović; Zoran  Milošević; Roberta  Marković; Aleksandra  Ignjatović

doi:10.18502/ijph.v53i7.16047

Marija Anđelković Apostolović Department of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia
Miodrag Stojanović Department of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia
Dragan Bogdanović Center for Informatics and Biostatistics in Health Care, Institute of Public Health Niš, Niš, Serbia
Branislav Apostolović Department of Nephrology, University Clinical Center Niš, Niš, Serbia
Marija Topalović Department of Pulmonology, University Clinical Center Niš, Niš, Serbia
Zoran Milošević Department of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia
Roberta Marković Department of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia
Aleksandra Ignjatović Department of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia

DOI: https://doi.org/10.18502/ijph.v53i7.16047

Keywords: Cause of death; Data quality; Garbage codes; Vital statistics performance index for quality; Serbia

Abstract

Background: We aimed to evaluate the quality of the cause of death (COD) concerning mortality patterns and completeness of death registration to identify areas for improvement in Serbia.

Methods: COD data collected from the mortality register in Serbia from 2005 to 2019 (1540615 deaths) were analyzed with the software Analysis of National Causes of Death for Action. The Vital Statistics Performance Index for Quality (VSPI(Q)) is estimated for the overall COD data quality.

Results: The completeness of death certification was higher than 98%. Usable underlying COD was registered in 57%, 24.1% with an unusable and 18.6% with insufficiently specified COD. The VSPI(Q) was 67.2%, denoting medium quality. The typical error was using intermediate COD (24.7% of all deaths), while 13.2% and 8.5% of all garbage codes (GC) belonged to the Very High and High Severity classes. The leading underlying COD is unspecified cardiomyopathy. The analysis revealed that 39.1% of GC has been redistributed to non-communicable diseases, 2.5% to external causes and 1.1% to communicable diseases.

Conclusion: In the 15 years' worth of data analyzed, the true underlying COD, in many cases, was ill-defined, indicating that COD data at the national level could be distorted. The additional and continuous professional education of medical students as well as physicians is needed. It should focus on the most common GC among the leading COD and acquiring skills in certifying external causes of death.