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dc.contributor.authorMorrison, Kirsty
dc.contributor.authorCullen, Lucy
dc.contributor.authorJames, Allan B
dc.contributor.authorChua, Vera
dc.contributor.authorSullivan, Christopher
dc.contributor.authorRobertson, Chris
dc.contributor.authorCarruthers, Jade
dc.contributor.authorWood, Rachael
dc.contributor.authorJeffrey, Karen
dc.contributor.authorMacDonald, Calum
dc.contributor.authorShah, Syed Ahmar
dc.contributor.authorRudan, Igor
dc.contributor.authorSimpson, Colin R
dc.contributor.authorMcCowan, Colin
dc.contributor.authorVittal Katikireddi, Srinivasa
dc.contributor.authorGrange, Zoe
dc.contributor.authorRitchie, Lewis
dc.contributor.authorSheikh, Aziz
dc.date.accessioned2023-09-15T15:30:14Z
dc.date.available2023-09-15T15:30:14Z
dc.date.issued2023-09-15
dc.identifier293904414
dc.identifier25c614a1-d805-41b7-89fb-f989b8b8aed4
dc.identifier37598025
dc.identifier85168508811
dc.identifier.citationMorrison , K , Cullen , L , James , A B , Chua , V , Sullivan , C , Robertson , C , Carruthers , J , Wood , R , Jeffrey , K , MacDonald , C , Shah , S A , Rudan , I , Simpson , C R , McCowan , C , Vittal Katikireddi , S , Grange , Z , Ritchie , L & Sheikh , A 2023 , ' Predictors of incomplete COVID-19 vaccine schedule among adults in Scotland : two retrospective cohort analyses of the primary schedule and third dose ' , Vaccine , vol. 41 , no. 40 . https://doi.org/10.1016/j.vaccine.2023.07.070en
dc.identifier.otherJisc: 1310822
dc.identifier.otherpii: S0264-410X(23)00916-7
dc.identifier.otherORCID: /0000-0002-9466-833X/work/142498946
dc.identifier.urihttps://hdl.handle.net/10023/28405
dc.descriptionFunding: UK Research and Innovation (Medical Research Council); Research and Innovation Industrial Strategy Challenge Fund; Chief Scientist's Office of the Scottish Government; Health Data Research UK; National Core Studies – Data and Connectivity. SVK acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Scottish Government Chief Scientist Office (SPHSU17) and the Medical Research Council (MC_UU_00022/2).en
dc.description.abstractBackground 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.
dc.format.extent1460640
dc.language.isoeng
dc.relation.ispartofVaccineen
dc.subjectVaccine uptakeen
dc.subjectVaccine hesitancyen
dc.subjectCOVID-19 vaccinationen
dc.subjectIncomplete vaccine scheduleen
dc.subjectE-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titlePredictors of incomplete COVID-19 vaccine schedule among adults in Scotland : two retrospective cohort analyses of the primary schedule and third doseen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.identifier.doi10.1016/j.vaccine.2023.07.070
dc.description.statusPeer revieweden


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