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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Wengler, Annelene Gruhl, Heike Plaß, Dietrich Leddin, Janko Rommel, Alexander von der Lippe, Elena |
| Abstract | Background The cause of death statistics in Germany include a relatively high share (26% in 2017) of ill-defined deaths (IDD). To make use of the cause of death statistics for Burden of Disease calculations we redistribute those IDD to valid causes of death. Methods The process of proportional redistribution is described in detail. It makes use of the distribution of the valid ICD-codes in the cause of death data. We use examples of stroke, diabetes, and heart failure to illustrate how IDD are reallocated. Results The largest increases in the number of deaths for both women and men were found for lower respiratory infections, diabetes mellitus, and stroke. The numbers of deaths for these causes more than doubled after redistribution. Conclusion This is the first comprehensive redistribution of IDD using the German cause of death statistics. Performing a redistribution is necessary for burden of disease analyses, otherwise there would be an underreporting of certain causes of death or large numbers of deaths coded to residual or unspecific codes. |
| Related Links | https://archpublichealth.biomedcentral.com/counter/pdf/10.1186/s13690-021-00535-1.pdf |
| Ending Page | 18 |
| Page Count | 18 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20493258 |
| DOI | 10.1186/s13690-021-00535-1 |
| Journal | Archives of Public Health |
| Issue Number | 1 |
| Volume Number | 79 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2021-03-15 |
| Access Restriction | Open |
| Subject Keyword | Public Health Medicine Health Policy Health Services Research Health Informatics Burden of disease Redistribution Cause of death Ill-defined death Mortality Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Public Health, Environmental and Occupational Health |
| Journal Impact Factor | 3.2/2023 |
| 5-Year Journal Impact Factor | 3.3/2023 |
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