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Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK.
Lench, Alex; Perry, Malorie; Johnson, Rhodri D; Fry, Richard; Richardson, Gill; Lyons, Ronan A; Akbari, Ashley; Edwards, Adrian; Collins, Brendan; Joseph-Williams, Natalie; Cooper, Alison; Cottrell, Simon.
  • Lench A; Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, UK.
  • Perry M; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Johnson RD; Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, UK.
  • Fry R; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Richardson G; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Lyons RA; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Akbari A; Policy, Research and International Development, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, UK.
  • Edwards A; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Collins B; Population Data Science, Health Data Research UK, Swansea University Medical School, Swansea SA2 8PP, UK.
  • Joseph-Williams N; Wales COVID-19 Evidence Centre, PRIME Centre Wales, Division of Population Medicine, School of Medicine, Cardiff University, 8th floor, Neuadd Meirionnydd, Heath Park, Cardiff CF14 4XN, UK.
  • Cooper A; Health and Social Services Group, Finance Directorate, Welsh Government, Cardiff CF10 3NQ, UK.
  • Cottrell S; Wales COVID-19 Evidence Centre, PRIME Centre Wales, Division of Population Medicine, School of Medicine, Cardiff University, 8th floor, Neuadd Meirionnydd, Heath Park, Cardiff CF14 4XN, UK.
Vaccines (Basel) ; 11(3)2023 Mar 07.
Article in English | MEDLINE | ID: covidwho-2268453
ABSTRACT
The uptake of COVID-19 vaccination in Wales is high at a population level but many inequalities exist. Household composition may be an important factor in COVID-19 vaccination uptake due to the practical, social, and psychological implications associated with different living arrangements. In this study, the role of household composition in the uptake of COVID-19 vaccination in Wales was examined with the aim of identifying areas for intervention to address inequalities. Records within the Wales Immunisation System (WIS) COVID-19 vaccination register were linked to the Welsh Demographic Service Dataset (WDSD; a population register for Wales) held within the Secure Anonymised Information Linkage (SAIL) databank. Eight household types were defined based on household size, the presence or absence of children, and the presence of single or multiple generations. Uptake of the second dose of any COVID-19 vaccine was analysed using logistic regression. Gender, age group, health board, rural/urban residential classification, ethnic group, and deprivation quintile were included as covariates for multivariable regression. Compared to two-adult households, all other household types were associated with lower uptake. The most significantly reduced uptake was observed for large, multigenerational, adult group households (aOR 0.45, 95%CI 0.43-0.46). Comparing multivariable regression with and without incorporation of household composition as a variable produced significant differences in odds of vaccination for health board, age group, and ethnic group categories. These results indicate that household composition is an important factor for the uptake of COVID-19 vaccination and consideration of differences in household composition is necessary to mitigate vaccination inequalities.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Vaccines11030604

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Year: 2023 Document Type: Article Affiliation country: Vaccines11030604