@article{Delanerolle_G-2022_94549,
title = {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},
author = {Delanerolle, G. and Williams, R. and Stipancic, A. and Byford, R. and Forbes, A. and Anand, S. and Bradley, D. and Tsang, R. and Murphy, S. and Akbari, A. and Bedston, S. and Lyons, R. and Owen, R. and Beggs, J. and Chuter, A. and Balharry, D. and Joy, M. and Sheikh, A. and Hobbs, F. and de Lusignan, S.},
month = {aug},
year = {2022},
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 United Kingdom uses the Read v2 terminology in primary care. The availability of data sources is not uniform across the United Kingdom.},
volume = {6},
issue = {8},
journal = {JMIR Formative Research},
publisher = {},
url = {https://doi.org/10.2196/37821},
}
