Evidence map›Paper›PMID 37168685›Full record

ArticleJournal of health monitoring2017

Diabetes Surveillance in Germany - Background, concept and prospects.

Lars Gabrys, Christian Schmidt, Christin Heidemann, Jens Baumert, Yong Du, Rebecca Paprott, Andrea Teti, Ingrid-Katharina Wolf, Thomas Ziese, Christa Scheidt-Nave

Abstract read
In one paragraph

Article in Journal of health monitoring, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lars GabrysDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Christian SchmidtDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Christin HeidemannDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Jens BaumertDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Yong DuDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Rebecca PaprottDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Andrea TetiDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Ingrid-Katharina WolfDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Thomas ZieseDepartment for Epidemiology and Health Monitoring, Berlin, Germany.
Christa Scheidt-NaveDepartment for Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a chronic disease that is associated with serious health problems and high costs. According to estimates gained from nationally representative health surveys conducted by the Robert Koch Institute (RKI), 4.6 million adults aged 18 to 79 suffer from diabetes in Germany. In addition, around 1.3 million adults have undetected diabetes. A surveillance system is currently being established at the RKI in order to gather the data sources available on diabetes in Germany and to provide reliable and comparable findings on time trends covering the frequency, progress of treatment, prevention and care of the disease. Next to identifying trends, diabetes surveillance also needs to detect differences in epidemiology that are related to social status or geographic region. Diabetes surveillance at the RKI is being undertaken in close cooperation with stakeholders involved in science, health-care provision, health policy and health-system self-governance. Furthermore, its progress is accompanied by an interdisciplinary scientific advisory board. Diabetes surveillance involves the following key elements: 1) the development of a research-based conceptual framework that uses indicators to appropriately measure developments in the disease; 2) the establishment of standards for the use of existing data sources and the identification of barriers to data usage and gaps in the data; and 3) the implementation of focused health reporting that is geared towards the target group. In addition to policy consultations, diabetes surveillance must guarantee the provision of timely and continuous information to the public together with the Federal Agency for Health Education. The implementation of a diabetes surveillance in Germany should act as a model and serve as a basis with which to establish the surveillance of other non-communicable diseases. In principle, indicator-based diabetes monitoring at the population level can be viewed as providing the body for evidence-based policy consultation and focused health policy. In turn, this should enable the implementation of effective disease prevention measures and high-quality care for all groups within the population.

Indexed as

DIABETES MELLITUSDIABETES SURVEILLANCEHEALTH MONITORINGHEALTH REPORTINGPREVENTION

Identifiers

PMID37168685
PMCPMC10165556

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.