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Trends and clinical characteristics of COVID-19 vaccine recipients: a federated analysis of 57.9 million patients' primary care records in situ using OpenSAFELY.
Curtis, Helen J; Inglesby, Peter; Morton, Caroline E; MacKenna, Brian; Green, Amelia; Hulme, William; Walker, Alex J; Morley, Jessica; Mehrkar, Amir; Bacon, Seb; Hickman, George; Bates, Chris; Croker, Richard; Evans, David; Ward, Tom; Cockburn, Jonathan; Davy, Simon; Bhaskaran, Krishnan; Schultze, Anna; Rentsch, Christopher T; Williamson, Elizabeth J; Rowan, Anna; Fisher, Louis; McDonald, Helen I; Tomlinson, Laurie; Mathur, Rohini; Drysdale, Henry; Eggo, Rosalind M; Wing, Kevin; Wong, Angel Ys; Forbes, Harriet; Parry, John; Hester, Frank; Harper, Sam; O'Hanlon, Shaun; Eavis, Alex; Jarvis, Richard; Avramov, Dima; Griffiths, Paul; Fowles, Aaron; Parkes, Nasreen; Douglas, Ian J; Evans, Stephen Jw; Smeeth, Liam; Goldacre, Ben.
  • Curtis HJ; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Inglesby P; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Morton CE; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • MacKenna B; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Green A; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Hulme W; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Walker AJ; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Morley J; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Mehrkar A; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Bacon S; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Hickman G; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Bates C; London School of Hygiene and Tropical Medicine, London.
  • Croker R; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Evans D; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Ward T; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Cockburn J; London School of Hygiene and Tropical Medicine, London.
  • Davy S; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Bhaskaran K; London School of Hygiene and Tropical Medicine, London.
  • Schultze A; London School of Hygiene and Tropical Medicine, London.
  • Rentsch CT; London School of Hygiene and Tropical Medicine, London.
  • Williamson EJ; London School of Hygiene and Tropical Medicine, London.
  • Rowan A; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Fisher L; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • McDonald HI; London School of Hygiene and Tropical Medicine, London.
  • Tomlinson L; London School of Hygiene and Tropical Medicine, London.
  • Mathur R; London School of Hygiene and Tropical Medicine, London.
  • Drysdale H; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
  • Eggo RM; London School of Hygiene and Tropical Medicine, London.
  • Wing K; London School of Hygiene and Tropical Medicine, London.
  • Wong AY; London School of Hygiene and Tropical Medicine, London.
  • Forbes H; London School of Hygiene and Tropical Medicine, London.
  • Parry J; London School of Hygiene and Tropical Medicine, London.
  • Hester F; London School of Hygiene and Tropical Medicine, London.
  • Harper S; TPP, Leeds, London School of Hygiene and Tropical Medicine, London.
  • O'Hanlon S; EMIS Health, Leeds.
  • Eavis A; EMIS Health, Leeds.
  • Jarvis R; EMIS Health, Leeds.
  • Avramov D; EMIS Health, Leeds.
  • Griffiths P; EMIS Health, Leeds.
  • Fowles A; EMIS Health, Leeds.
  • Parkes N; EMIS Health, Leeds.
  • Douglas IJ; London School of Hygiene and Tropical Medicine, London.
  • Evans SJ; London School of Hygiene and Tropical Medicine, London.
  • Smeeth L; London School of Hygiene and Tropical Medicine, London.
  • Goldacre B; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
Br J Gen Pract ; 72(714): e51-e62, 2022 01.
Article in English | MEDLINE | ID: covidwho-1592597
ABSTRACT

BACKGROUND:

On 8 December 2020 NHS England administered the first COVID-19 vaccination.

AIM:

To describe trends and variation in vaccine coverage in different clinical and demographic groups in the first 100 days of the vaccine rollout. DESIGN AND

SETTING:

With the approval of NHS England, a cohort study was conducted of 57.9 million patient records in general practice in England, in situ and within the infrastructure of the electronic health record software vendors EMIS and TPP using OpenSAFELY.

METHOD:

Vaccine coverage across various subgroups of Joint Committee on Vaccination and Immunisation (JCVI) priority cohorts is described.

RESULTS:

A total of 20 852 692 patients (36.0%) received a vaccine between 8 December 2020 and 17 March 2021. Of patients aged ≥80 years not in a care home (JCVI group 2) 94.7% received a vaccine, but with substantial variation by ethnicity (White 96.2%, Black 68.3%) and deprivation (least deprived 96.6%, most deprived 90.7%). Patients with pre-existing medical conditions were more likely to be vaccinated with two exceptions severe mental illness (89.5%) and learning disability (91.4%). There were 275 205 vaccine recipients who were identified as care home residents (JCVI group 1; 91.2% coverage). By 17 March, 1 257 914 (6.0%) recipients had a second dose.

CONCLUSION:

The NHS rapidly delivered mass vaccination. In this study a data-monitoring framework was deployed using publicly auditable methods and a secure in situ processing model, using linked but pseudonymised patient-level NHS data for 57.9 million patients. Targeted activity may be needed to address lower vaccination coverage observed among certain key groups.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Etiology study / Incidence study / Observational study / Prognostic study / Randomized controlled trials / Risk factors Topics: Vaccines Limits: Humans Language: English Journal: Br J Gen Pract Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Etiology study / Incidence study / Observational study / Prognostic study / Randomized controlled trials / Risk factors Topics: Vaccines Limits: Humans Language: English Journal: Br J Gen Pract Year: 2022 Document Type: Article