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Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany
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 red...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958488/ https://www.ncbi.nlm.nih.gov/pubmed/33722272 http://dx.doi.org/10.1186/s13690-021-00535-1 |
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author | Wengler, Annelene Gruhl, Heike Plaß, Dietrich Leddin, Janko Rommel, Alexander von der Lippe, Elena |
author_facet | Wengler, Annelene Gruhl, Heike Plaß, Dietrich Leddin, Janko Rommel, Alexander von der Lippe, Elena |
author_sort | Wengler, Annelene |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7958488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79584882021-03-16 Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany Wengler, Annelene Gruhl, Heike Plaß, Dietrich Leddin, Janko Rommel, Alexander von der Lippe, Elena Arch Public Health Research 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. BioMed Central 2021-03-15 /pmc/articles/PMC7958488/ /pubmed/33722272 http://dx.doi.org/10.1186/s13690-021-00535-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wengler, Annelene Gruhl, Heike Plaß, Dietrich Leddin, Janko Rommel, Alexander von der Lippe, Elena Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title | Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title_full | Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title_fullStr | Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title_full_unstemmed | Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title_short | Redistributing ill-defined causes of death – a case study from the BURDEN 2020-project in Germany |
title_sort | redistributing ill-defined causes of death – a case study from the burden 2020-project in germany |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958488/ https://www.ncbi.nlm.nih.gov/pubmed/33722272 http://dx.doi.org/10.1186/s13690-021-00535-1 |
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