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Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study

Abstract:

Background: The Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) UK-wide collaboration was created to monitor vaccine uptake and effectiveness and provide pharmacovigilance using routine clinical and administrative data. To monitor these, pooled analyses may be needed. However, variation in terminologies present a barrier as, England uses the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), while the rest of the UK uses the Readv2 terminology in primary ca...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Publisher copy:
10.2196/37821

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Role:
Author
ORCID:
0000-0002-9628-9245
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Role:
Author
ORCID:
0000-0002-1370-8898
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Role:
Author
ORCID:
0000-0001-6503-8278
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Role:
Author
ORCID:
0000-0002-4792-8995
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Role:
Author
ORCID:
0000-0001-7860-3782
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Publisher:
JMIR Publications Inc. Publisher's website
Journal:
JMIR Formative Research Journal website
Acceptance date:
2022-05-17
DOI:
EISSN:
2561-326X
Language:
English
Keywords:
Pubs id:
1260818
Local pid:
pubs:1260818
Deposit date:
2022-07-01

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