TY - JOUR
AU - Delanerolle, Gayathri
AU - Williams, Robert
AU - Stipancic, Ana
AU - Byford, Rachel
AU - Forbes, Anna
AU - Anand, Sneha
AU - Bradley, Declan T.
AU - Tsang, Ruby
AU - Murphy, Siobhán
AU - Akbari, Ashley
AU - Bedston, Stuart
AU - Lyons, Ronan A.
AU - Owen, Rhiannon K.
AU - Beggs, Jillian
AU - Chuter, Antony
AU - Balharry, Domnique
AU - Joy, Mark
AU - Sheikh, Aziz
AU - Hobbs, F.D. Richard
AU - de Lusignan, Simon
PY - 2022
DA - August
TI - 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
JO - JMIR Formative Research
VL - 6
IS - 8
DO - https://doi.org/10.2196/37821
AB - 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.
UR - https://www.research.ed.ac.uk/en/publications/2d3189d4-6b68-45c4-892e-030952509058
KW - Coronavirus (COVID-19)
KW - Immunisation and screening
ER