Evidence map›Paper›PMID 33120886›Full record

ArticleInternational journal of environmental research and public health2020

Good Practice Data Linkage (GPD): A Translation of the German Version.

Stefanie March, Silke Andrich, Johannes Drepper, Dirk Horenkamp-Sonntag, Andrea Icks, Peter Ihle, Joachim Kieschke, Bianca Kollhorst, Birga Maier, Ingo Meyer and 13 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

23 authors.

Stefanie MarchInstitute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.
Silke AndrichInstitute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany.
Johannes DrepperTMF-Technology, Methods, and Infrastructure for Networked Medical Research, 10117 Berlin, Germany.
Dirk Horenkamp-SonntagTechniker Krankenkasse, Healthcare Management, 22305 Hamburg, Germany.
Andrea IcksInstitute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany.
Peter IhlePMV Research Group, University of Cologne, 50931 Cologne, Germany.
Joachim KieschkeEpidemiological Cancer Registry of Lower Saxony, Register Center, 26121 Oldenburg, Germany.
Bianca KollhorstLeibniz Institute for Prevention Research and Epidemiology-BIPS Department Biometry and Data Management, 28359 Bremen, Germany.ORCID 0000-0001-5964-954X
Birga MaierBerlin-Brandenburg Myocardial Infarction Registry e. V., 10317 Berlin, Germany.
Ingo MeyerPMV Research Group, University of Cologne, 50931 Cologne, Germany.
Gabriele MüllerCenter for Evidence-Based Healthcare (ZEGV), University Hospital and Faculty of Medicine Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany.
Christoph OhlmeierIGES Institut GmbH, 10117 Berlin, Germany.
Dirk PeschkeInstitute for Public Health and Nursing Research (IPP), University of Bremen, 28359 Bremen, Germany.
Adrian RichterInstitute for Community Medicine, Department SHIP-KEF, Greifswald University Medical Center, 17475 Greifswald, Germany.ORCID 0000-0002-3372-2021
Marie-Luise RosenbuschCentral Research Institute for Ambulatory Healthcare in Germany (Zi), Department of Data Science and Healthcare Analyses, 10587 Berlin, Germany.
Nadine ScholtenInstitute of Medical Sociology, Health Services Research and Rehabilitation Science (IMVR), Faculty of Human Sciences and Faculty of Medicine, University of Cologne, 50933 Cologne, Germany.
Mandy SchulzCentral Research Institute for Ambulatory Healthcare in Germany (Zi), Department of Data Science and Healthcare Analyses, 10587 Berlin, Germany.
Christoph StallmannInstitute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0001-8144-5711
Enno SwartInstitute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany.ORCID 0000-0002-3286-2217
Stefanie Wobbe-RibinskiDAK Gesundheit, Health Services Research and Innovation, 20097 Hamburg, Germany.
Antke WolterDAK Gesundheit, Health Services Research and Innovation, 20097 Hamburg, Germany.
Jan ZeidlerCenter for Health Economics Research Hanover (CHERH), Leibniz University Hanover, 30159 Hanover, Germany.
Falk HoffmannFaculty of Medicine and Health Sciences, Department of Healthcare Research, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany.ORCID 0000-0003-0182-5373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.

Indexed as

Research DesignTranslationsInformation Storage and RetrievalLanguageepidemiologyguidelineshealth services researchpersonal datarecord linkagestandard

Identifiers

PMID33120886
PMCPMC7663300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.