2018
DOI: 10.1371/journal.pone.0207183
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Zoster vaccination inequalities: A population based cohort study using linked data from the UK Clinical Practice Research Datalink

Abstract: ObjectiveTo quantify inequalities in zoster vaccine uptake by determining its association with socio-demographic factors: age, gender, ethnicity, immigration status, deprivation (at Lower-layer Super Output Area-level), care home residence and living arrangements.MethodThis population-based cohort study utilised anonymised primary care electronic health records from England (Clinical Practice Research Datalink) linked to deprivation and hospitalisation data. Data from 35,333 individuals from 277 general practi… Show more

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Cited by 17 publications
(25 citation statements)
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“…To our knowledge this manuscript, an update of our January 27th preprint covering only OpenSAFELY-TPP patients (40% of the population), is the first study to describe in detail the demographic and clinical features of those who have been vaccinated by the NHS England COVID-19 vaccination campaign; and the only study to report on variation in vaccination by fine-grained clinical characteristics, because OpenSAFELY can provide detailed information about the demographics and clinical conditions of those vaccinated from each patients’ full pseudonymised EHR, which is not available within NIMS. Our finding of lower vaccination coverage in black and asian groups is concerning: it is also consistent with previous research on variation in vaccine coverage between ethnic groups during other vaccination campaigns historically [2224], and with survey data on intention to accept the COVID-19 vaccine. [25–28].…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…To our knowledge this manuscript, an update of our January 27th preprint covering only OpenSAFELY-TPP patients (40% of the population), is the first study to describe in detail the demographic and clinical features of those who have been vaccinated by the NHS England COVID-19 vaccination campaign; and the only study to report on variation in vaccination by fine-grained clinical characteristics, because OpenSAFELY can provide detailed information about the demographics and clinical conditions of those vaccinated from each patients’ full pseudonymised EHR, which is not available within NIMS. Our finding of lower vaccination coverage in black and asian groups is concerning: it is also consistent with previous research on variation in vaccine coverage between ethnic groups during other vaccination campaigns historically [2224], and with survey data on intention to accept the COVID-19 vaccine. [25–28].…”
Section: Discussionsupporting
confidence: 91%
“…This is because OpenSAFELY-TPP can provide detailed information about the demographics and clinical conditions of those vaccinated which is not available within NIMS. Our finding of discrepancies between ethnic groups is concerning: it requires action, and further investigation; possible drivers include systematic barriers to healthcare access, and vaccine hesitancy amongst certain groups [19,20,21, 2224, 25]; it may also only arise in the very earliest stages of this new vaccination programme.…”
Section: Discussionmentioning
confidence: 99%
“…Our finding of higher rates of declines being recorded in Black and South Asian groups is generally consistent with survey data on intention to accept the COVID-19 vaccine (Parveen, Mohdin, and McIntyre 2021;Robinson, Jones, and Daly 2020;Allington et al 2021;Royal Society of Public Health 2020;Robertson et al 2021), and with previous research on variation in vaccine coverage in other vaccination campaigns historically (Ward et al 2017;Loiacono et al 2020;Jain et al 2018).…”
Section: Findings In Contextsupporting
confidence: 90%
“…For each vaccine, a complete case analysis (excluding women with no ethnicity recorded in the main analysis) using multivariable logistic regression was used to estimate associations between vaccine uptake and social determinants. Our modelling strategy followed a previously adapted version 33 of a conceptual framework to analyse the hierarchical inter-relationships between distal and proximate social determinants with vaccine uptake ( online supplemental file 1 ). 34 We first fitted a ‘minimally adjusted’ model to estimate associations between each social determinant and vaccine uptake adjusted for year (calendar year for pertussis, financial year for influenza to reflect the influenza season) to adjust for secular trends as an a priori confounder.…”
Section: Methodsmentioning
confidence: 99%