The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium.
big data
coronavirus
epidemiology
primary health care
Journal
Annals of family medicine
ISSN: 1544-1717
Titre abrégé: Ann Fam Med
Pays: United States
ID NLM: 101167762
Informations de publication
Date de publication:
Historique:
received:
01
05
2020
revised:
07
08
2020
accepted:
31
08
2020
entrez:
9
3
2021
pubmed:
10
3
2021
medline:
18
3
2021
Statut:
ppublish
Résumé
The use of big data containing millions of primary care medical records provides an opportunity for rapid research to help inform patient care and policy decisions during the first and subsequent waves of the coronavirus disease 2019 (COVID-19) pandemic. Routinely collected primary care data have previously been used for national pandemic surveillance, quantifying associations between exposures and outcomes, identifying high risk populations, and examining the effects of interventions at scale, but there is no consensus on how to effectively conduct or report these data for COVID-19 research. A COVID-19 primary care database consortium was established in April 2020 and its researchers have ongoing COVID-19 projects in overlapping data sets with over 40 million primary care records in the United Kingdom that are variously linked to public health, secondary care, and vital status records. This consensus agreement is aimed at facilitating transparency and rigor in methodological approaches, and consistency in defining and reporting cases, exposures, confounders, stratification variables, and outcomes in relation to the pharmacoepidemiology of COVID-19. This will facilitate comparison, validation, and meta-analyses of research during and after the pandemic.
Identifiants
pubmed: 33685875
pii: 19/2/135
doi: 10.1370/afm.2658
pmc: PMC7939714
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
135-140Subventions
Organisme : Medical Research Council
ID : MC_UU_00006/6
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12015/4
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V027778/1
Pays : United Kingdom
Informations de copyright
© 2021 Annals of Family Medicine, Inc.
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