Evidence map›Paper›PMID 41415852›Full record

ArticleJournal of health monitoring2025

Health monitoring at the Robert Koch Institute - Effects of a change in study design on sample composition and prevalence estimates due to the start of the 'Health in Germany' Panel.

Elvira Mauz, Felicitas Vogelgesang, Stefan Damerow, Anja Schienkiewitz, Niels Michalski, Beate Gaertner, Jennifer Allen, Jens Baumert, Yong Du, Ronny Kuhnert and 3 more

Abstract read
In one paragraph

Article in Journal of health monitoring, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

13 authors.

Elvira MauzRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Felicitas VogelgesangRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Stefan DamerowRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Anja SchienkiewitzRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Niels MichalskiRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Beate GaertnerRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Jennifer AllenRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Jens BaumertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Yong DuRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Ronny KuhnertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Johannes LemckeRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Ramona ScheufeleRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Angelika Schaffrath RosarioRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Robert Koch Institute (RKI) continuously monitors key health indicators in the general population by collecting data repeatedly. As changes in survey design can affect prevalence estimates and thus make interpreting trends difficult, the launch of the RKI Panel 'Health in Germany' was accompanied by a methodological study. Methods: The RKI Panel is based on a random sample drawn from population registers. The survey is self-administered in written format (online or paper). The composition of the sample, prevalence estimates and response behaviour were then compared with data collected in parallel in the GEDA 2024 telephone survey. Data from previous surveys were included in the modelling to quantify method-related differences in prevalence estimates. Results: The RKI Panel 2024 was more successful in representing young adults, the elderly and individuals with low levels of education. The prevalence estimates differ significantly from GEDA 2024 in some cases, particularly for mental health indicators and their associated factors. The RKI Panel includes more older adults with limited physical health, while in young adults more participants with poorer mental health are present. Despite method-related differences in prevalence, modelling can usually be used to assess trends. Conclusions: The RKI Panel provides a more realistic representation of the German population than previous telephone surveys. The differences in prevalence are due to effects of the survey mode, questionnaire design, and changes in sample composition.

Indexed as

BiasChange in methodologyCorrectionPrevalence comparisonRepresentativenessResponse behaviourSurveillanceSurvey design

Identifiers

PMID41415852
PMCPMC12709640

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