TY  - JOUR
A1  - Fihel, Agnieszka
A1  - Muszyńska-Spielauer, Magdalena
T1  - Using multiple cause of death information to eliminate garbage codes
Y1  - 2021/07/28
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 345
EP  - 360
DO  - 10.4054/DemRes.2021.45.11
VL  - 45
IS  - 11
UR  - https://www.demographic-research.org/volumes/vol45/11/
L1  - https://www.demographic-research.org/volumes/vol45/11/45-11.pdf
L2  - https://www.demographic-research.org/volumes/vol45/11/45-11.pdf
N2  - Background: International comparisons of mortality largely depend on the quality of data. With more than 20% of deaths annually assigned to ill-defined cardiovascular conditions, the mortality level due to well-defined causes of death is under-registered in Poland. 

Objective: We aim to reclassify cardiovascular garbage codes (GCs) into well-defined causes based on multiple causes of death (MCoD) data and to approximate mortality levels due to well-defined causes of death in Poland. We examine the usefulness of the MCoD approach for correcting low-quality data on causes of death. 

Methods: Based on the unique MCoD dataset for Poland, death counts due to cardiovascular GCs were reassigned to well-defined underlying causes in two steps: (1) manually for death records that included MCoD information constituting a logical chain of conditions leading to death and (2) with coarsened exact matching for the remaining death records. Age-specific and age-standardised death rates for large groups of causes were calculated before and after redistribution and compared to those of other Eastern European countries with relatively good data quality. 

Results: Of deaths originally assigned to cardiovascular GCs, 86,856 were reclassified, mostly to well-defined cardiovascular diseases, cancers, endocrine, nutritional and metabolic diseases, and respiratory diseases. The age-standardised death rate due to well-defined ischaemic heart diseases increased by 43%, and the rate due to cerebrovascular diseases by 22%. Cardiovascular mortality structure by large groups of causes became similar to the structure registered in other Eastern European countries characterised by a low prevalence of GCs. 

Conclusions: Coarsened exact matching performs relatively well when abundant MCoD information is available and enhances the comparability of cause-of-death data between countries. 

Contribution: Redistribution of GCs improves the quality of cause-of-death data and enhances their comparability between countries.  

ER  -