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Selecting and defining indicators for diabetes surveillance in Germany
Mainly because of the large number of people affected and associated significant health policy implications, the Robert Koch Institute (RKI) is developing a public health surveillance system using diabetes as an example. In a first step to ensure long-term and comparable data collection and establis...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Robert Koch Institute
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852787/ https://www.ncbi.nlm.nih.gov/pubmed/35586543 http://dx.doi.org/10.17886/RKI-GBE-2018-063 |
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author | Gabrys, Lars Heidemann, Christin Schmidt, Christian Baumert, Jens Teti, Andrea Du, Yong Paprott, Rebecca Ziese, Thomas Banzer, Winfried Böhme, Michael Borrmann, Brigitte Busse, Reinhard Freitag, Michael Hagen, Bernd Holl, Reinhard Icks, Andrea Kaltheuner, Matthias Koch, Klaus Kümmel, Stefanie Kuhn, Joseph Kuß, Oliver Laux, Gunter Schubert, Ingrid Szecsenyi, Joachim Uebel, Til Zahn, Daniela Scheidt-Nave, Christa |
author_facet | Gabrys, Lars Heidemann, Christin Schmidt, Christian Baumert, Jens Teti, Andrea Du, Yong Paprott, Rebecca Ziese, Thomas Banzer, Winfried Böhme, Michael Borrmann, Brigitte Busse, Reinhard Freitag, Michael Hagen, Bernd Holl, Reinhard Icks, Andrea Kaltheuner, Matthias Koch, Klaus Kümmel, Stefanie Kuhn, Joseph Kuß, Oliver Laux, Gunter Schubert, Ingrid Szecsenyi, Joachim Uebel, Til Zahn, Daniela Scheidt-Nave, Christa |
author_sort | Gabrys, Lars |
collection | PubMed |
description | Mainly because of the large number of people affected and associated significant health policy implications, the Robert Koch Institute (RKI) is developing a public health surveillance system using diabetes as an example. In a first step to ensure long-term and comparable data collection and establish efficient surveillance structures, the RKI has defined a set of relevant indicators for diabetes surveillance. An extensive review of the available literature followed by a structured process of consensus provided the basis for a harmonised set of 30 core and 10 supplementary indicators. They correspond to the following four fields of activity: (1) reducing diabetes risk, (2) improving diabetes early detection and treatment, (3) reducing diabetes complications, (4) reducing the disease burden and overall costs of the disease. In future, in addition to the primary data provided by RKI health monitoring diabetes surveillance needs to also consider the results from secondary data sources. Currently, barriers to accessing this data remain, which will have to be overcome, and gaps in the data closed. The RKI intentends to continuously update this set of indicators and at some point apply it also to further chronic diseases with high public health relevance. |
format | Online Article Text |
id | pubmed-8852787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Robert Koch Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-88527872022-05-17 Selecting and defining indicators for diabetes surveillance in Germany Gabrys, Lars Heidemann, Christin Schmidt, Christian Baumert, Jens Teti, Andrea Du, Yong Paprott, Rebecca Ziese, Thomas Banzer, Winfried Böhme, Michael Borrmann, Brigitte Busse, Reinhard Freitag, Michael Hagen, Bernd Holl, Reinhard Icks, Andrea Kaltheuner, Matthias Koch, Klaus Kümmel, Stefanie Kuhn, Joseph Kuß, Oliver Laux, Gunter Schubert, Ingrid Szecsenyi, Joachim Uebel, Til Zahn, Daniela Scheidt-Nave, Christa J Health Monit Concepts & Methods Mainly because of the large number of people affected and associated significant health policy implications, the Robert Koch Institute (RKI) is developing a public health surveillance system using diabetes as an example. In a first step to ensure long-term and comparable data collection and establish efficient surveillance structures, the RKI has defined a set of relevant indicators for diabetes surveillance. An extensive review of the available literature followed by a structured process of consensus provided the basis for a harmonised set of 30 core and 10 supplementary indicators. They correspond to the following four fields of activity: (1) reducing diabetes risk, (2) improving diabetes early detection and treatment, (3) reducing diabetes complications, (4) reducing the disease burden and overall costs of the disease. In future, in addition to the primary data provided by RKI health monitoring diabetes surveillance needs to also consider the results from secondary data sources. Currently, barriers to accessing this data remain, which will have to be overcome, and gaps in the data closed. The RKI intentends to continuously update this set of indicators and at some point apply it also to further chronic diseases with high public health relevance. Robert Koch Institute 2018-06-06 /pmc/articles/PMC8852787/ /pubmed/35586543 http://dx.doi.org/10.17886/RKI-GBE-2018-063 Text en © Robert Koch Institute. All rights reserved unless explicitly granted. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Concepts & Methods Gabrys, Lars Heidemann, Christin Schmidt, Christian Baumert, Jens Teti, Andrea Du, Yong Paprott, Rebecca Ziese, Thomas Banzer, Winfried Böhme, Michael Borrmann, Brigitte Busse, Reinhard Freitag, Michael Hagen, Bernd Holl, Reinhard Icks, Andrea Kaltheuner, Matthias Koch, Klaus Kümmel, Stefanie Kuhn, Joseph Kuß, Oliver Laux, Gunter Schubert, Ingrid Szecsenyi, Joachim Uebel, Til Zahn, Daniela Scheidt-Nave, Christa Selecting and defining indicators for diabetes surveillance in Germany |
title | Selecting and defining indicators for diabetes surveillance in Germany |
title_full | Selecting and defining indicators for diabetes surveillance in Germany |
title_fullStr | Selecting and defining indicators for diabetes surveillance in Germany |
title_full_unstemmed | Selecting and defining indicators for diabetes surveillance in Germany |
title_short | Selecting and defining indicators for diabetes surveillance in Germany |
title_sort | selecting and defining indicators for diabetes surveillance in germany |
topic | Concepts & Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852787/ https://www.ncbi.nlm.nih.gov/pubmed/35586543 http://dx.doi.org/10.17886/RKI-GBE-2018-063 |
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