tetano
Editor, Senior Moderator
Vaccine
. 2023 Aug 17;S0264-410X(23)00916-7.
doi: 10.1016/j.vaccine.2023.07.070. Online ahead of print. Predictors of incomplete COVID-19 vaccine schedule among adults in Scotland: Two retrospective cohort analyses of the primary schedule and third dose
Kirsty Morrison[SUP] 1 [/SUP], Lucy Cullen[SUP] 2 [/SUP], Allan B James[SUP] 2 [/SUP], Vera Chua[SUP] 2 [/SUP], Christopher Sullivan[SUP] 2 [/SUP], Chris Robertson[SUP] 3 [/SUP], Jade Carruthers[SUP] 2 [/SUP], Rachael Wood[SUP] 4 [/SUP], Karen Jeffrey[SUP] 5 [/SUP], Calum MacDonald[SUP] 5 [/SUP], Syed Ahmar Shah[SUP] 5 [/SUP], Igor Rudan[SUP] 5 [/SUP], Colin R Simpson[SUP] 6 [/SUP], Colin McCowan[SUP] 7 [/SUP], Srinivasa Vittal Katikireddi[SUP] 8 [/SUP], Zoe Grange[SUP] 2 [/SUP], Lewis Ritchie[SUP] 9 [/SUP], Aziz Sheikh[SUP] 5 [/SUP]
Affiliations
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.
Keywords: COVID-19 vaccination; Incomplete vaccine schedule; Vaccine hesitancy; Vaccine uptake.
. 2023 Aug 17;S0264-410X(23)00916-7.
doi: 10.1016/j.vaccine.2023.07.070. Online ahead of print. Predictors of incomplete COVID-19 vaccine schedule among adults in Scotland: Two retrospective cohort analyses of the primary schedule and third dose
Kirsty Morrison[SUP] 1 [/SUP], Lucy Cullen[SUP] 2 [/SUP], Allan B James[SUP] 2 [/SUP], Vera Chua[SUP] 2 [/SUP], Christopher Sullivan[SUP] 2 [/SUP], Chris Robertson[SUP] 3 [/SUP], Jade Carruthers[SUP] 2 [/SUP], Rachael Wood[SUP] 4 [/SUP], Karen Jeffrey[SUP] 5 [/SUP], Calum MacDonald[SUP] 5 [/SUP], Syed Ahmar Shah[SUP] 5 [/SUP], Igor Rudan[SUP] 5 [/SUP], Colin R Simpson[SUP] 6 [/SUP], Colin McCowan[SUP] 7 [/SUP], Srinivasa Vittal Katikireddi[SUP] 8 [/SUP], Zoe Grange[SUP] 2 [/SUP], Lewis Ritchie[SUP] 9 [/SUP], Aziz Sheikh[SUP] 5 [/SUP]
Affiliations
- PMID: 37598025
- DOI: 10.1016/j.vaccine.2023.07.070
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.
Keywords: COVID-19 vaccination; Incomplete vaccine schedule; Vaccine hesitancy; Vaccine uptake.