Evidence map›Paper›PMID 39806631›Full record

ArticleBMJ open2024

Determining the feasibility of linked claims and vaccination data for a COVID-19 vaccine pharmacoepidemiological study in Germany-RiCO feasibility study protocol.

Nina Timmesfeld, Peter Ihle, Robin Denz, Katherina Meiszl, Katrin Scholz, Doris Oberle, Ursula Drechsel-Bäuerle, Brigitte Keller-Stanislawski, Hans H Diebner, Ingo Meyer

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nina TimmesfeldDepartment of Medical Informatics, Biometry & Epidemiology, Ruhr University Bochum, Bochum, Germany.
Peter IhlePMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Koln, Germany.
Robin DenzDepartment of Medical Informatics, Biometry & Epidemiology, Ruhr University Bochum, Bochum, Germany.
Katherina MeiszlDepartment of Medical Informatics, Biometry & Epidemiology, Ruhr University Bochum, Bochum, Germany.
Katrin ScholzPMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Koln, Germany.
Doris OberlePaul-Ehrlich-Institut, Langen, Germany.
Ursula Drechsel-BäuerlePaul-Ehrlich-Institut, Langen, Germany.
Brigitte Keller-StanislawskiPaul-Ehrlich-Institut, Langen, Germany.
Hans H DiebnerDepartment of Medical Informatics, Biometry & Epidemiology, Ruhr University Bochum, Bochum, Germany.
Ingo MeyerPMV Research Group, Medical Faculty and University Hospital Cologne, University of Cologne, Koln, Germany ingo.meyer@uk-koeln.de.ORCID http://orcid.org/0000-0001-8515-8285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn Germany, there has been no population-level pharmacoepidemiological study on the safety of the COVID-19 vaccines. One factor preventing such a study so far relates to challenges combining the different relevant data bodies on vaccination with suitable outcome data, specifically statutory health insurance claims data. Individual identifiers used across these data bodies are of unknown quality and reliability for data linkage. METHODS AND ANALYSIS: As part of a larger pharmacovigilance study on the COVID-19 vaccines, called RiCO (German 'Risikoevaluation der COVID-19-Impfstoffe', Englisch 'Risk assessment of COVID-19 vaccines'), a feasibility study is being conducted to determine the overall confidence level with which existing data can be analysed in relation to the safety of the COVID-19 vaccine. This RiCO feasibility study will establish a data flow combining claims data and vaccination data for a subsample of the total German population, describe data quality for each dataset from the various sources, estimate the proportion of the different linkage errors and will develop various approaches for linking the data in addition to the simple form of linkage using a common identifier in order to reduce possible linkage errors. These last three points are the core objective of the feasibility study. A secondary objective is to test the viability of the required data flow involving multiple stakeholders from different parts of the healthcare system. ETHICS AND DISSEMINATION: Results will be published and used to plan the actual pharmacovigilance study on the COVID-19 vaccines for Germany, as well as future research on the role of COVID-19 vaccines as risk or protective factors for long-term COVID-19 effects. In accordance with national legal requirements, permission to use of the statutory health insurance claims data was requested and granted by the national regulatory authority for statutory health insurances. The vaccination data will be used in accordance with the requirements of the national regulation on COVID-19 vaccinations. Ethical approval was not required for this secondary data study and was therefore not sought. The results of the feasibility study will be published in a suitable, peer-reviewed scientific journal. Results will also be presented to stakeholders from German statutory health insurances and government organisations.

Indexed as

COVID-19COVID-19 VaccinesPharmacoepidemiologyVaccinationFeasibility StudiesGermanyHumansPharmacovigilanceResearch DesignSARS-CoV-2COVID-19 VaccinesCOVID-19EPIDEMIOLOGIC STUDIESFeasibility StudiesInformation Storage and RetrievalSTATISTICS & RESEARCH METHODSVaccination

Identifiers

PMID39806631
PMCPMC11664364

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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.