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. 2018 Jun 6;3(Suppl 3):3-21.
doi: 10.17886/RKI-GBE-2018-063. eCollection 2018 Jun.

Selecting and defining indicators for diabetes surveillance in Germany

Lars Gabrys  1 , Christin Heidemann  1 , Christian Schmidt  1 , Jens Baumert  1 , Andrea Teti  2 , Yong Du  1 , Rebecca Paprott  1 , Thomas Ziese  1 , Winfried Banzer  3 , Michael Böhme  4 , Brigitte Borrmann  5 , Reinhard Busse  6 , Michael Freitag  7 , Bernd Hagen  8 , Reinhard Holl  9 , Andrea Icks  10   11   12 , Matthias Kaltheuner  13 , Klaus Koch  14 , Stefanie Kümmel  15 , Joseph Kuhn  16 , Oliver Kuß  17 , Gunter Laux  18 , Ingrid Schubert  19 , Joachim Szecsenyi  18 , Til Uebel  20 , Daniela Zahn  21 , Christa Scheidt-Nave  1
Affiliations

Selecting and defining indicators for diabetes surveillance in Germany

Lars Gabrys et al. J Health Monit. .

Abstract

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.

Keywords: DIABETES MELLITUS; INDICATORS; NCD; PUBLIC HEALTH; SURVEILLANCE.

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Conflict of interest statement

Conflicts of interest Joachim Szecsenyi is CEO and shareholder of the aQua Institute. For the other co-authors and for herself, the Corresponding author declares that there is no conflict of interest.

Figures

Figure 1
Figure 1
Evaluation template on indicator selection and relevance assessment Own diagram
Figure 2
Figure 2
Flowchart diabetes surveillance indicator selection Own diagram
See this image and copyright information in PMC

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