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Predictors of incomplete COVID-19 vaccine schedule among adults in Scotland: Two retrospective cohort analyses of the primary schedule and third dose.
Morrison, Kirsty; Cullen, Lucy; James, Allan B; Chua, Vera; Sullivan, Christopher; Robertson, Chris; Carruthers, Jade; Wood, Rachael; Jeffrey, Karen; MacDonald, Calum; Shah, Syed Ahmar; Rudan, Igor; Simpson, Colin R; McCowan, Colin; Vittal Katikireddi, Srinivasa; Grange, Zoe; Ritchie, Lewis; Sheikh, Aziz.
Afiliación
  • Morrison K; Public Health Scotland, Glasgow, Scotland, UK. Electronic address: kirsty.morrison6@phs.scot.
  • Cullen L; Public Health Scotland, Glasgow, Scotland, UK.
  • James AB; Public Health Scotland, Glasgow, Scotland, UK.
  • Chua V; Public Health Scotland, Glasgow, Scotland, UK.
  • Sullivan C; Public Health Scotland, Glasgow, Scotland, UK.
  • Robertson C; Public Health Scotland, Glasgow, Scotland, UK; University of Strathclyde, Glasgow, UK.
  • Carruthers J; Public Health Scotland, Glasgow, Scotland, UK.
  • Wood R; Public Health Scotland, Glasgow, Scotland, UK; Usher Institute, University of Edinburgh, Scotland, UK.
  • Jeffrey K; Usher Institute, University of Edinburgh, Scotland, UK.
  • MacDonald C; Usher Institute, University of Edinburgh, Scotland, UK.
  • Shah SA; Usher Institute, University of Edinburgh, Scotland, UK.
  • Rudan I; Usher Institute, University of Edinburgh, Scotland, UK.
  • Simpson CR; Usher Institute, University of Edinburgh, Scotland, UK; School of Health, Victoria University of Wellington, Wellington, New Zealand.
  • McCowan C; School of Medicine, University of St Andrews, St Andrews, UK.
  • Vittal Katikireddi S; Public Health Scotland, Glasgow, Scotland, UK; School of Health and Wellbeing, University of Glasgow, Scotland, UK.
  • Grange Z; Public Health Scotland, Glasgow, Scotland, UK.
  • Ritchie L; School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.
  • Sheikh A; Usher Institute, University of Edinburgh, Scotland, UK.
Vaccine ; 41(40): 5863-5876, 2023 09 15.
Article en En | MEDLINE | ID: mdl-37598025
BACKGROUND: Vaccination continues to be the key public health measure for preventing severe COVID-19 outcomes. Certain groups may be at higher risk of incomplete vaccine schedule, which may leave them vulnerable to COVID-19 hospitalisation and death. AIM: To identify the sociodemographic and clinical predictors for not receiving a scheduled COVID-19 vaccine after previously receiving one. METHODS: We conducted two retrospective cohort studies with ≥3.7 million adults aged ≥18 years in Scotland. Multivariable logistic regression was used to estimate adjusted odds ratios (aOR) of not receiving a second, and separately a third dose between December 2020 and May 2022. Independent variables included sociodemographic and clinical factors. RESULTS: Of 3,826,797 people in the study population who received one dose, 3,732,596 (97.5%) received two doses, and 3,263,153 (86.5%) received all doses available during the study period. The most strongly associated predictors for not receiving the second dose were: being aged 18-29 (reference: 50-59 years; aOR:4.26; 95% confidence interval (CI):4.14-4.37); hospitalisation due to a potential vaccine related adverse event of special interest (AESI) (reference: not having a potential AESI, aOR:3.78; 95%CI: 3.29-4.35); and living in the most deprived quintile (reference: least deprived quintile, aOR:3.24; 95%CI: 3.16-3.32). The most strongly associated predictors for not receiving the third dose were: being 18-29 (reference: 50-59 years aOR:4.44; 95%CI: 4.38-4.49), living in the most deprived quintile (reference: least deprived quintile aOR:2.56; 95%CI: 2.53-2.59), and Black, Caribbean, or African ethnicity (reference: White ethnicity aOR:2.38; 95%CI: 2.30-2.46). Pregnancy, previous vaccination with mRNA-1273, smoking history, individual and household severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity, and having an unvaccinated adult in the household were also associated with incomplete vaccine schedule. CONCLUSION: We observed several risk factors that predict incomplete COVID-19 vaccination schedule. Vaccination programmes must take immediate action to ensure maximum uptake, particularly for populations vulnerable to severe COVID-19 outcomes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Pregnancy País/Región como asunto: Europa Idioma: En Revista: Vaccine Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Female / Humans / Pregnancy País/Región como asunto: Europa Idioma: En Revista: Vaccine Año: 2023 Tipo del documento: Article