Evidence map›Paper›PMID 35586802›Full record

ArticleJournal of health monitoring2018

Ad hoc surveys at the Robert Koch Institute.

Patrick Schmich, Johannes Lemcke, Marie-Luise Zeisler, Anja Müller, Jennifer Allen, Matthias Wetzstein

Abstract read
In one paragraph

Article in Journal of health monitoring, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. [Health reporting as part of public health surveillance: the example of diabetes].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2020
    Review
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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

6 authors.

Patrick SchmichRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.
Johannes LemckeRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.
Marie-Luise ZeislerRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.
Anja MüllerRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.
Jennifer AllenRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.
Matthias WetzsteinRobert Koch Institute, Berlin, Department of Epidemiology and Health Monitoring.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Robert Koch Institute (RKI) regularly conducts nationally representative cross-sectional studies (KiGGS, DEGS and GEDA) as part of the nationwide health monitoring system. In addition to these health surveys, data is collected in telephone interviews either on specific thematic fields (such as diabetes) or specific groups (such as medical staff) that were not or only insufficiently covered by the larger health surveys. As they are flexible and fast, ad hoc surveys conducted via telephone interviews can respond to specific epidemiological and health political questions. This article describes the procedures applied in ad hoc telephone interview surveys, which were newly introduced as a standardised method in 2017 and are applied by the Laboratory for Health Surveys at the RKI. The article presents the stages of project management such as concept development, establishment of a concept for data protection, questionnaire development, pre-test and field phase, calculation of weighting factors and provision of the final data set. The aim is to describe the process and shed light on the standardised procedures, the reported quality indicators and the breadth of possible scenarios of application.

Indexed as

HEALTH MONITORINGMETHODOLOGIESPROJECT MANAGEMENTQUALITY ASSURANCETELEPHONE INTERVIEW

Identifiers

PMID35586802
PMCPMC8848777

What Socratic holds

Textmetadata
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 Socratic graph.