1
|
Hubin P, Van den Borre L, Braeye T, Cavillot L, Billuart M, Stouten V, Nasiadka L, Vermeiren E, Van Evercooren I, Devleesschauwer B, Catteau L, van Loenhout JA. Area and individual level analyses of demographic and socio-economic disparities in COVID-19 vaccination uptake in Belgium. Vaccine X 2024; 18:100496. [PMID: 38779406 PMCID: PMC11108972 DOI: 10.1016/j.jvacx.2024.100496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/27/2024] [Accepted: 05/02/2024] [Indexed: 05/25/2024] Open
Abstract
Vaccination has played a major role in overcoming the COVID-19 pandemic. However, vaccination status can be influenced by demographic and socio-economic factors at individual and area level. In the context of the LINK-VACC project, the Belgian vaccine register for the COVID-19 vaccination campaign was linked at individual level with other registers, notably the COVID-19 laboratory test results and demographic and socio-economic variables from the DEMOBEL database. The present article aims at investigating to which extent COVID-19 vaccination status is associated with area level and/or individual level demographic and socio-economic factors. From a sample of all individuals tested for SARS-CoV-2 (LINK-VACC sample) demographic and socio-economic indicators are derived and their impact on vaccination coverages at an aggregated geographical level (municipality) is quantified. The same indicators are calculated for the full Belgian population, allowing to assess the representativeness of the LINK-VACC sample with respect to the impact of demographic and socio-economic disparities on vaccination uptake. In a second step, hierarchical models are fitted to the individual level LINK-VACC data to disentangle the individual and municipality effects allowing to evaluate the added value of the availability of individual level data in this context. The most important effects observed at the individual level are reflected in the aggregated data at the municipality level. Multilevel analyses show that most of the demographic and socio-economic impacts on vaccination are captured at the individual level, although accounting for area level in individual level analyses improve the overall description.
Collapse
Affiliation(s)
- Pierre Hubin
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Laura Van den Borre
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Toon Braeye
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Lisa Cavillot
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Research Institute of Health and Society, University of Louvain, Brussels, Belgium
| | - Matthieu Billuart
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Veerle Stouten
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Léonore Nasiadka
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Elias Vermeiren
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | | | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | - Lucy Catteau
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | | |
Collapse
|
2
|
Cavillot L, van Loenhout JAF, Devleesschauwer B, Wyndham-Thomas C, Van Oyen H, Ghattas J, Blot K, Van den Borre L, Billuart M, Speybroeck N, De Pauw R, Stouten V, Catteau L, Hubin P. Sociodemographic and socioeconomic disparities in COVID-19 vaccine uptake in Belgium: a nationwide record linkage study. J Epidemiol Community Health 2023; 78:jech-2023-220751. [PMID: 38148149 PMCID: PMC11045363 DOI: 10.1136/jech-2023-220751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 12/04/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Recent studies have identified important social inequalities in SARS-CoV-2 infections and related COVID-19 outcomes in the Belgian population. The aim of our study was to investigate the sociodemographic and socioeconomic characteristics associated with the uptake of COVID-19 vaccine in Belgium. METHODS We conducted a cross-sectional analysis of the uptake of a first COVID-19 vaccine dose among 5 342 110 adults (≥18 years) in Belgium on 31 August 2021. We integrated data from four national data sources: the Belgian vaccine register (vaccination status), COVID-19 Healthdata (laboratory test results), DEMOBEL (sociodemographic/socioeconomic data) and the Common Base Register for HealthCare Actors (individuals licensed to practice a healthcare profession in Belgium). We used multivariable logistic regression analysis for identifying characteristics associated with not having obtained a first COVID-19 vaccine dose in Belgium and for each of its three regions (Flanders, Brussels and Wallonia). RESULTS During the study period, 10% (536 716/5 342 110) of the Belgian adult population included in our study sample was not vaccinated with a first COVID-19 vaccine dose. A lower COVID-19 vaccine uptake was found among young individuals, men, migrants, single parents, one-person households and disadvantaged socioeconomic groups (with lower levels of income and education, unemployed). Overall, the sociodemographic and socioeconomic disparities were comparable for all regions. CONCLUSIONS The identification of sociodemographic and socioeconomic disparities in COVID-19 vaccination uptake is critical to develop strategies guaranteeing a more equitable vaccination coverage of the Belgian adult population.
Collapse
Affiliation(s)
- Lisa Cavillot
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Health and Society Research Institute, Université Catholique de Louvain, Brussels, Belgium
| | | | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University, Merelbeke, Belgium
| | | | - Herman Van Oyen
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Jinane Ghattas
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Health and Society Research Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Koen Blot
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Laura Van den Borre
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Matthieu Billuart
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Niko Speybroeck
- Health and Society Research Institute, Université Catholique de Louvain, Brussels, Belgium
| | - Robby De Pauw
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Veerle Stouten
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Lucy Catteau
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Pierre Hubin
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| |
Collapse
|
3
|
Jones G, Perry M, Bailey R, Arumugam S, Edwards A, Lench A, Cooper A, Akbari A, Collins B, Harris C, Richardson G, Barry M, Harris P, Fry R, Lyons RA, Cottrell S. Dimensions of equality in uptake of COVID-19 vaccination in Wales, UK: A multivariable linked data population analysis. Vaccine 2023; 41:7333-7341. [PMID: 37932133 DOI: 10.1016/j.vaccine.2023.10.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/12/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023]
Abstract
Vaccination has proven to be effective at preventing severe outcomes of COVID-19 infection, and uptake in the population has been high in Wales. However, there is a risk that high-level vaccination coverage statistics may mask hidden inequalities in under-served populations, many of whom may be at increased risk of severe outcomes of COVID-19 infection. The study population included 1,436,229 individuals aged 18 years and over, alive and residence in Wales as at 31st July 2022, and excluded immunosuppressed or care home residents. We compared people who had received one or more vaccinations to those with no vaccination using linked data from nine datasets within the Secure Anonymised Information Linkage (SAIL) databank. Multivariable analysis was undertaken to determine the impact of a range of sociodemographic characteristics on vaccination uptake, including ethnicity, country of birth, severe mental illness, homelessness and substance use. We found that overall uptake of first dose of COVID-19 vaccination was high in Wales (92.1 %), with the highest among those aged 80 years and over and females. Those aged under 40 years, household composition (aOR 0.38 95 %CI 0.35-0.41 for 10+ size household compared to two adult household) and being born outside the UK (aOR 0.44 95 %CI 0.43-0.46) had the strongest negative associations with vaccination uptake. This was followed by a history of substance misuse (aOR 0.45 95 %CI 0.44-0.46). Despite high-level population coverage in Wales, significant inequalities remain across several underserved groups. Factors associated with vaccination uptake should not be considered in isolation, to avoid drawing incorrect conclusions. Ensuring equitable access to vaccination is essential to protecting under-served groups from COVID-19 and further work needs to be done to address these gaps in coverage, with focus on tailored vaccination pathways and advocacy, using trusted partners and communities.
Collapse
Affiliation(s)
- Gethin Jones
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Malorie Perry
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Rowena Bailey
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Sudha Arumugam
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Adrian Edwards
- 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, Wales, UK.
| | - Alex Lench
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Alison Cooper
- 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, Wales, UK.
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Brendan Collins
- Health and Social Services Group, Health Protection, Welsh Government, Cardiff, UK; Department of Public Health, Policy and Systems, University of Liverpool, UK.
| | - Caroline Harris
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Gill Richardson
- Policy, Research and International Development, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Mai Barry
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Phillippa Harris
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| | - Richard Fry
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Ronan A Lyons
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University Swansea, SA2 8PP Wales, UK.
| | - Simon Cottrell
- Vaccine Preventable Disease Programme and Communicable Disease Surveillance Centre, Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff CF10 4BZ, Wales, UK.
| |
Collapse
|
4
|
Klaesson J, Lobo J, Mellander C. Social interactions and COVID-19 vaccine hesitancy: Evidence from a full population study in Sweden. PLoS One 2023; 18:e0289309. [PMID: 37983227 PMCID: PMC10659190 DOI: 10.1371/journal.pone.0289309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 07/14/2023] [Indexed: 11/22/2023] Open
Abstract
We investigate whether an individual's information milieu-an individual's residential neighborhood and co-workers-affects the decision to get a COVID-19 vaccine. The decision to accept or refuse a vaccine is intensely personal and involves the processing of information about phenomena likely to be unfamiliar to most individuals. One can thus expect an interplay between an individual's level of education and skills and the information processing of others whom with whom she can interact and whose decision she can probe and observe. Using individual-level data for adults in Sweden, we can identify the proportion of an individual's neighborhood and workplace who are unvaccinated as indicators of possible peer effects. We find that individuals with low levels of educational attainment and occupational skills are more likely to be unvaccinated when exposed to other unvaccinated individuals at work and in the residential neighborhood. The peer effects in each of these information milieus further increases the likelihood of not getting vaccinated-with the two acting as information channels that reinforce one another.
Collapse
Affiliation(s)
- Johan Klaesson
- Jönköping International Business School, Jönköping University, Jönköping, Sweden
- Institute of Retail Economics (HFI), Stockholm, Sweden
| | - José Lobo
- Arizona State University, Tempe, AZ, United States of America
| | - Charlotta Mellander
- Jönköping International Business School, Jönköping University, Jönköping, Sweden
| |
Collapse
|
5
|
Hedberg P, Sotoodeh A, Askling HH, Nauclér P. Sociodemographic disparities affect COVID-19 vaccine uptake in non-elderly adults with increased risk of severe COVID-19. J Intern Med 2023; 294:640-652. [PMID: 37424218 DOI: 10.1111/joim.13700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
BACKGROUND There is limited information about sociodemographic disparities in COVID-19 vaccine uptake among non-elderly adults with an increased risk of severe COVID-19. We investigated the COVID-19 vaccine uptake in individuals aged 18-64 years with an increased risk of severe COVID-19 (non-elderly risk group) in Stockholm County, Sweden. METHOD We used population-based health and sociodemographic registries with high coverage to perform a cohort study of COVID-19 vaccine uptake of one to four doses up until 21 November 2022. The vaccine uptake in the non-elderly risk group was compared with non-risk groups aged 18-64 years (non-elderly non-risk group) and individuals aged ≥65 years (elderly). RESULTS The uptake of ≥3 vaccine doses was 55%, 64% and 87% in the non-elderly non-risk group (n = 1,005,182), non-elderly risk group (n = 308,904) and elderly (n = 422,604), respectively. Among non-elderly risk group conditions, Down syndrome showed the strongest positive association with receiving three doses (adjusted risk ratio [aRR] 1.62, 95% confidence interval [CI] 1.54-1.71), whereas chronic liver disease showed the strongest negative association (aRR 0.90, 95% CI 0.88-0.92). Higher vaccine uptake among the non-elderly risk group was associated with increasing age, being born in Sweden, higher education, higher income and living in a household where other adults had been vaccinated. Similar trends were observed for the first, second, third and fourth doses. CONCLUSION These results call for measures to tackle sociodemographic disparities in vaccination programmes during and beyond the COVID-19 pandemic.
Collapse
Affiliation(s)
- Pontus Hedberg
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Adonis Sotoodeh
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Helena H Askling
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Academic Specialist Centre, Stockholm Health Care Services, Stockholm, Sweden
| | - Pontus Nauclér
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
6
|
Morrison K, Cullen L, James AB, Chua V, Sullivan C, Robertson C, Carruthers J, Wood R, Jeffrey K, MacDonald C, Shah SA, Rudan I, Simpson CR, McCowan C, Vittal Katikireddi S, Grange Z, Ritchie L, Sheikh A. Predictors of incomplete COVID-19 vaccine schedule among adults in Scotland: Two retrospective cohort analyses of the primary schedule and third dose. Vaccine 2023; 41:5863-5876. [PMID: 37598025 DOI: 10.1016/j.vaccine.2023.07.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/19/2023] [Accepted: 07/29/2023] [Indexed: 08/21/2023]
Abstract
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.
Collapse
Affiliation(s)
| | - Lucy Cullen
- Public Health Scotland, Glasgow, Scotland, UK
| | | | - Vera Chua
- Public Health Scotland, Glasgow, Scotland, UK
| | | | - Chris Robertson
- Public Health Scotland, Glasgow, Scotland, UK; University of Strathclyde, Glasgow, UK
| | | | - Rachael Wood
- Public Health Scotland, Glasgow, Scotland, UK; Usher Institute, University of Edinburgh, Scotland, UK
| | - Karen Jeffrey
- Usher Institute, University of Edinburgh, Scotland, UK
| | | | | | - Igor Rudan
- Usher Institute, University of Edinburgh, Scotland, UK
| | - Colin R Simpson
- Usher Institute, University of Edinburgh, Scotland, UK; School of Health, Victoria University of Wellington, Wellington, New Zealand
| | - Colin McCowan
- School of Medicine, University of St Andrews, St Andrews, UK
| | - Srinivasa Vittal Katikireddi
- Public Health Scotland, Glasgow, Scotland, UK; School of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Zoe Grange
- Public Health Scotland, Glasgow, Scotland, UK
| | - Lewis Ritchie
- School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, Scotland, UK
| |
Collapse
|
7
|
Hansen BT, Labberton AS, Kour P, Kraft KB. Coverage of primary and booster vaccination against COVID-19 by socioeconomic level: A nationwide cross-sectional registry study. Hum Vaccin Immunother 2023; 19:2188857. [PMID: 36941785 PMCID: PMC10072069 DOI: 10.1080/21645515.2023.2188857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
High and equitable COVID-19 vaccination coverage is important for pandemic control and prevention of health inequity. However, little is known about socioeconomic correlates of booster vaccination coverage. In this cross-sectional study of all Norwegian adults in the national vaccination program (N = 4,190,655), we use individual-level registry data to examine coverage by levels of household income and education of primary (≥2 doses) and booster (≥3 doses) vaccination against COVID-19. We stratify the analyses by age groups with different booster recommendations and report relative risk ratios (RR) for vaccination by 25 August 2022. In the 18-44 y group, individuals with highest vs. lowest education had 94% vs. 79% primary coverage (adjusted RR (adjRR) 1.15, 95%CI 1.14-1.15) and 67% vs. 38% booster coverage (adjRR 1.55, 95% CI 1.55-1.56), while individuals with highest vs. lowest income had 94% vs. 81% primary coverage (adjRR 1.10, 95%CI 1.10-1.10) and 60% vs. 43% booster coverage (adjRR 1.23, 95%CI 1.22-1.24). In the ≥45 y group, individuals with highest vs. lowest education had 96% vs. 92% primary coverage (adjRR 1.02, 95%CI 1.02-1.02) and 88% vs. 80% booster coverage (adjRR 1.09, 95%CI 1.09-1.09), while individuals with highest vs. lowest income had 98% vs. 82% primary coverage (adjRR 1.16, 95%CI 1.16-1.16) and 92% vs. 64% booster coverage (adjRR 1.33, 95%CI 1.33-1.34). In conclusion, we document large socioeconomic inequalities in COVID-19 vaccination coverage, especially for booster vaccination, even though all vaccination was free-of-charge. The results highlight the need to tailor information and to target underserved groups for booster vaccination.
Collapse
Affiliation(s)
- Bo T Hansen
- Department of Infection Control and Vaccine, Norwegian Institute of Public Health, Oslo, Norway
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Angela S Labberton
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Prabhjot Kour
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Kristian B Kraft
- Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway
| |
Collapse
|
8
|
Gram MA, Moustsen-Helms IR, Valentiner-Branth P, Emborg HD. Sociodemographic differences in Covid-19 vaccine uptake in Denmark: a nationwide register-based cohort study. BMC Public Health 2023; 23:391. [PMID: 36829138 PMCID: PMC9955526 DOI: 10.1186/s12889-023-15301-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 02/21/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Covid-19 vaccination is the main strategy to reduce SARS-CoV-2 transmission, mortality and morbidity. This study aimed to examine sociodemographic differences in Covid-19 vaccine uptake among all individuals invited for Covid-19 vaccination in Denmark. METHODS This study was designed as a nationwide register-based cohort study. The study population included all Danish residents aged 12 years or above in Denmark between December 27, 2020 and October 20, 2021. Individuals who died during the study period before receiving an invitation for Covid-19 vaccination were excluded. Associations between sociodemographic factors and Covid-19 vaccination uptake were analyzed using logistic regression models adjusting for age, sex, immigration status, educational level, disposable income and history of SARS-CoV-2 infection. RESULTS The study population included 5,164,558 individuals. The overall vaccination coverage was 87.1% by October 20, 2021. In the full adjusted logistic regression models, the highest ORs for non-vaccination were observed among individuals aged 12-24 years (OR: 8.99 (95% CI: 8.76-9.23)), descendants of non-western immigrants (OR: 5.26 (95% CI: 5.18-5.33)), individuals who never had a PCR-test performed (OR: 2.93 (95% CI: 2.90-2.96)), individuals with primary school as highest completed educational level (OR: 2.87 (95% CI: 2.83-2.91)) and individuals with disposable income < 33,605 EUR (OR: 3.72 (95% CI: 3.52-3.93)). CONCLUSION Overall, the Covid-19 vaccine uptake was high in Denmark. However, large sociodemographic differences in the vaccine uptake exist. The youngest age groups had the lowest vaccination coverage. Furthermore, the impact of the sociodemographic factors was more pronounced in the youngest age groups. The identified determinants may be used to design policies to help maximize the vaccination coverage.
Collapse
Affiliation(s)
- Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, 2300, Copenhagen S, Denmark.
| | - Ida Rask Moustsen-Helms
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, 2300, Copenhagen S, Denmark
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, 2300, Copenhagen S, Denmark
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, 5 Artillerivej, 2300, Copenhagen S, Denmark
| |
Collapse
|
9
|
Bergen N, Johns NE, Chang Blanc D, Hosseinpoor AR. Within-Country Inequality in COVID-19 Vaccination Coverage: A Scoping Review of Academic Literature. Vaccines (Basel) 2023; 11:517. [PMID: 36992101 PMCID: PMC10058740 DOI: 10.3390/vaccines11030517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Since December 2020, COVID-19 vaccines have become increasingly available to populations around the globe. A growing body of research has characterised inequalities in COVID-19 vaccination coverage. This scoping review aims to locate, select and assess research articles that report on within-country inequalities in COVID-19 vaccination coverage, and to provide a preliminary overview of inequality trends for selected dimensions of inequality. We applied a systematic search strategy across electronic databases with no language or date restrictions. Our inclusion criteria specified research articles or reports that analysed inequality in COVID-19 vaccination coverage according to one or more socioeconomic, demographic or geographic dimension of inequality. We developed a data extraction template to compile findings. The scoping review was carried out using the PRISMA-ScR checklist. A total of 167 articles met our inclusion criteria, of which half (n = 83) were conducted in the United States. Articles focused on vaccine initiation, full vaccination and/or receipt of booster. Diverse dimensions of inequality were explored, most frequently relating to age (n = 127 articles), race/ethnicity (n = 117 articles) and sex/gender (n = 103 articles). Preliminary assessments of inequality trends showed higher coverage among older population groups, with mixed findings for sex/gender. Global research efforts should be expanded across settings to understand patterns of inequality and strengthen equity in vaccine policies, planning and implementation.
Collapse
Affiliation(s)
- Nicole Bergen
- Department of Data and Analytics, World Health Organization, 20 Avenue Appia, 1211 Geneva, Switzerland
| | - Nicole E. Johns
- Department of Data and Analytics, World Health Organization, 20 Avenue Appia, 1211 Geneva, Switzerland
| | - Diana Chang Blanc
- Department of Immunization, Vaccines and Biologicals, World Health Organization, 20 Avenue Appia, 1211 Geneva, Switzerland
| | - Ahmad Reza Hosseinpoor
- Department of Data and Analytics, World Health Organization, 20 Avenue Appia, 1211 Geneva, Switzerland
| |
Collapse
|
10
|
Powis M, Sutradhar R, Patrikar A, Cheung M, Gong I, Vijenthira A, Hicks LK, Wilton D, Krzyzanowska MK, Singh S. Factors associated with timely COVID-19 vaccination in a population-based cohort of patients with cancer. J Natl Cancer Inst 2023; 115:146-154. [PMID: 36321960 PMCID: PMC9905967 DOI: 10.1093/jnci/djac204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 09/21/2022] [Accepted: 10/31/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND In many jurisdictions, cancer patients were prioritized for COVID-19 vaccination because of increased risk of infection and death. To understand sociodemographic disparities that affected timely receipt of COVID-19 vaccination among cancer patients, we undertook a population-based study in Ontario, Canada. METHODS Patients older than 18 years and diagnosed with cancer January 2010 to September 2020 were identified using administrative data; vaccination administration was captured between approval (December 2020) up to February 2022. Factors associated with time to vaccination were evaluated using multivariable Cox proportional hazards regression. RESULTS The cohort consisted of 356 535 patients, the majority of whom had solid tumor cancers (85.9%) and were not on active treatment (74.1%); 86.8% had received at least 2 doses. The rate of vaccination was 25% lower in recent (hazard ratio [HR] = 0.74, 95% confidence interval [CI] = 0.72 to 0.76) and nonrecent immigrants (HR = 0.80, 95% CI = 0.79 to 0.81). A greater proportion of unvaccinated patients were from neighborhoods with a high concentration of new immigrants or self-reported members of racialized groups (26.0% vs 21.3%, standardized difference = 0.111, P < .001), residential instability (27.1% vs 23.0%, standardized difference = 0.094, P < .001), or material deprivation (22.1% vs 16.8%, standardized difference = 0.134, P < .001) and low socioeconomic status (20.9% vs 16.0%, standardized difference = 0.041, P < .001). The rate of vaccination was 20% lower in patients from neighborhoods with the lowest socioeconomic status (HR = 0.82, 95% CI = 0.81 to 0.84) and highest material deprivation (HR = 0.80, 95% CI = 0.78 to 0.81) relative to those in more advantaged neighborhoods. CONCLUSIONS Despite funding of vaccines and prioritization of high-risk populations, marginalized patients were less likely to be vaccinated. Differences are likely due to the interplay between systemic barriers to access and cultural or social influences affecting uptake.
Collapse
Affiliation(s)
- Melanie Powis
- Cancer Quality Lab (CQuaL), Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
| | - Rinku Sutradhar
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Aditi Patrikar
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - Matthew Cheung
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Inna Gong
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Abi Vijenthira
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lisa K Hicks
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Hematology/Oncology, St. Michael’s Hospital—Unity Health, Toronto, ON, Canada
| | - Drew Wilton
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - Monika K Krzyzanowska
- Cancer Quality Lab (CQuaL), Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Simron Singh
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
11
|
Xu K, Wang Z, Qin M, Gao Y, Luo N, Xie W, Zou Y, Wang J, Ma X. A systematic review and meta-analysis of the effectiveness and safety of COVID-19 vaccination in older adults. Front Immunol 2023; 14:1113156. [PMID: 36936964 PMCID: PMC10020204 DOI: 10.3389/fimmu.2023.1113156] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/10/2023] [Indexed: 03/06/2023] Open
Abstract
In the coronavirus disease 2019 (COVID-19) pandemic, vaccinations were essential in preventing COVID-19 infections and related mortality in older adults. The objectives of this study were to evaluate the effectiveness and safety of the COVID-19 vaccines in older adults. We systematically searched the electronic bibliographic databases of PubMed, Web of Science, Embase, Cochrane Library, ClinicalTrials.gov, Research Square, and OpenGrey, as well as other sources of gray literature, for studies published between January 1, 2020, and October 1, 2022. We retrieved 22 randomized controlled trials (RCTs), with a total of 3,404,696 older adults (aged over 60 years) participating, that were included in the meta-analysis. No significant publication bias was found. In the cumulative meta-analysis, we found that the COVID-19 vaccines were effective in preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (OR = 0.38, 95% CI = 0.23-0.65, p = 0.0004) and in reducing the number of COVID-19-related deaths (OR = 0.16, 95% CI = 0.10-0.25, p < 0.00001) in elderly people. Antibody seroconversion (AS) and geometric mean titer (GMT) levels significantly increased in vaccinated older adults [OR = 24.42, 95% CI = 19.29-30.92; standardized mean difference (SMD) = 0.92, 95% CI = 0.64-1.20, respectively]. However, local and systemic adverse events after COVID-19 vaccine administration were found in older adults (OR = 2.57, 95% CI = 1.83-3.62, p < 0.00001). Although vaccination might induce certain adverse reactions in the elderly population, the available evidence showed that the COVID-19 vaccines are effective and tolerated, as shown by the decrease in COVID-19-related deaths in older adults. It needs to be made abundantly clear to elderly people that the advantages of vaccination far outweigh any potential risks. Therefore, COVID-19 vaccination should be considered as the recommended strategy for the control of this disease by preventing SARS-CoV-2 infection and related deaths in older adults. More RCTs are needed to increase the certainty of the evidence and to verify our conclusions. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022319698, identifier CRD42022319698.
Collapse
Affiliation(s)
- Kun Xu
- School of Health Management, Xihua University, Chengdu, China
| | - Zihan Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
| | - Maorong Qin
- School of Health Management, Xihua University, Chengdu, China
| | - Yangyu Gao
- School of Health Management, Xihua University, Chengdu, China
| | - Na Luo
- School of Health Management, Xihua University, Chengdu, China
| | - Wanting Xie
- School of Health Management, Xihua University, Chengdu, China
| | - Yihan Zou
- School of Health Management, Xihua University, Chengdu, China
| | - Jie Wang
- School of Food and Biological Engineering, Xihua University, Chengdu, China
| | - Xingming Ma
- School of Health Management, Xihua University, Chengdu, China
- Health Promotion Center, Xihua University, Chengdu, China
- *Correspondence: Xingming Ma,
| |
Collapse
|
12
|
Giannakou K, Fakonti G, Kyprianidou M. Determinants of COVID-19 vaccine uptake among healthcare professionals and the general population in Cyprus: A web-based cross-sectional survey. J Eval Clin Pract 2022; 28:959-969. [PMID: 36115011 PMCID: PMC9538130 DOI: 10.1111/jep.13764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/24/2022] [Accepted: 08/27/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE This study aims to examine the factors influencing COVID-19 vaccine uptake among healthcare professionals (HCPs) and the general population in Cyprus. METHODS A web-based cross-sectional study was conducted (November 2021-January 2022), using a self-administered, anonymous questionnaire to collect information covering a wide range of potential determinants including sociodemographic and health-related characteristics, trust in the healthcare system, satisfaction with it, utilization of preventive healthcare services, COVID-19 vaccination information and general vaccination knowledge. RESULTS A total of 2582 participants completed the survey. Overall, 53.5% of participants representing the general population, and 70.0% of the HCPs received the COVID-19 vaccination. We found that as the age increases by 1 year among the general population, the odds of being vaccinated against COVID-19 increase by 1.02 units (95% 1.00, 1.03, p= 0.035). In addition, participants among the general population with increased trust in national healthcare authorities' guidelines (OR = 3.96, 95% CI: 3.41, 4.61), and increased vaccination knowledge scores (OR = 1.11, 95% CI: 1.05, 1.18) were significantly more likely to be vaccinated, while those who had underage children living in the household were significantly less likely to be vaccinated against COVID-19 (OR = 0.68, 95% CI: 0.50, 0.91). Furthermore, male HCPs (OR = 1.91, 95% CI: 1.01, 3.59), and those who reported increased trust in national healthcare authorities' guidelines (OR = 5.38, 95% CI: 3.65, 7.95) were significantly more likely to be vaccinated. CONCLUSION Public health policymakers can use national campaigns and long-term planning to build public trust in national healthcare authorities and raise awareness about the benefits of vaccination. Such strategies could pave the way for adequate vaccine uptake and prepare the public for unfavourable scenarios, such as future pandemics.
Collapse
Affiliation(s)
- Konstantinos Giannakou
- Department of Health Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| | - Georgia Fakonti
- Department of Health Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| | - Maria Kyprianidou
- Department of Health Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| |
Collapse
|
13
|
Recio-Vivas AM, Mansilla-Domíngez JM, Belzunegui-Eraso Á, Peña-Otero D, Díaz-Pérez D, Lorenzo-Allegue L, Font-Jiménez I. Compliance with COVID-19 Prevention Measures in the Spanish Population during the New Normal: Will the Need for Greater Community Involvement Be One of the Lessons Learned? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15983. [PMID: 36498056 PMCID: PMC9737321 DOI: 10.3390/ijerph192315983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/16/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
Throughout the pandemic, national and international health authorities have called on the population to collaborate and contribute with their behavior to control the problem. The aim of this study is to analyze the implementation of the protective measures against COVID-19 and to determine the factors involved in their compliance. To respond to the objectives, a cross-sectional study was performed involving a total of 5560 individuals. An ad hoc online questionnaire was created and shared through social networks, scientific societies, and various health institutions. The probability of high or total compliance with the protective measures was higher in women (OR = 1.401) and as age increases, with an OR = 2.524 in the interval between 31 and 64 years old and an OR = 2.896 in the oldest interval (65 and over). This study shows the characteristics of the population that considers it more likely to be infected by SARS-CoV-2, thus adopting greater adherence to prevention measures. Knowing which factors are associated with adherence to protective measures is essential for establishing effective pandemic control measures. Our findings may be useful for designing future awareness campaigns adapted to different socio-demographic characteristics in settings affected by COVID-19.
Collapse
Affiliation(s)
- Ana María Recio-Vivas
- Department of Nursing, Faculty of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
| | | | - Ángel Belzunegui-Eraso
- Medical Anthropology Research Center, Faculty of Nursing, Rovira i Virgili University, 43002 Tarragona, Spain
| | - David Peña-Otero
- Sub-Directorate of Caring, Cantabrian Health Service, Material Resources Unit, Management of Products, Equipment and Health Technology, Hospital Universitario Marqués de Valdecilla, 39011 Cantabria, Spain
- Nursing Area, IDIVAL Research Institutes Valdecilla, 39011 Cantabria, Spain
- Respiratory Nursing Department at Sociedad Española de Neumología y Cirugía Torácica (SEPAR), 08029 Barcelona, Spain
| | - David Díaz-Pérez
- Respiratory Nursing Department at Sociedad Española de Neumología y Cirugía Torácica (SEPAR), 08029 Barcelona, Spain
- Pneumology and Thoracic Surgery Service of the Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain
| | - Laura Lorenzo-Allegue
- Department of Nursing, Faculty of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
| | - Isabel Font-Jiménez
- Department of Nursing, Faculty of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
| |
Collapse
|
14
|
Siani A, Tranter A. Is vaccine confidence an unexpected victim of the COVID-19 pandemic? Vaccine 2022; 40:7262-7269. [PMID: 36333226 PMCID: PMC9618445 DOI: 10.1016/j.vaccine.2022.10.061] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/16/2022] [Accepted: 10/24/2022] [Indexed: 11/12/2022]
Abstract
Vaccines are among the safest and most effective primary prevention measures. Thanks to the synergistic global efforts of research institutions, pharmaceutical companies and national health services, COVID-19 vaccination campaigns were successfully rolled out less than a year after the start of the pandemic. While the unprecedented speed of development and approval of COVID-19 vaccines has been applauded as a public health success story, it also spurred considerable controversy and hesitancy even amongst individuals that did not previously hold anti-vaccination stances. This study aimed to compare pre- and post-pandemic vaccine confidence trends in different demographic groups by analysing the outcomes of two online surveys run respectively in November 2019 and January 2022 involving a total of 1009 participants. Non-parametric tests highlighted a statistically significant decline in vaccine confidence in the 2022 cohort compared to the 2019 cohort, with median Vaccine Confidence Score dropping from 22 to 20 and 23.8% of participants reporting that their confidence in vaccines had declined since the onset of the pandemic. While the majority of internal trends were comparable between the two surveys with regards to gender, graduate status and religious belief, vaccine confidence patterns showed considerable alterations with regards to age and ethnicity. Middle-aged participants were considerably more hesitant than younger groups in the 2019 cohort, however this was not the case in the 2022 survey. In both surveys White participants showed significantly higher vaccine confidence than those from Black backgrounds; in the 2022 cohort, unlike the pre-pandemic group, Asian participants showed significantly lower confidence than White ones. This study suggests that paradoxically, despite the success of COVID-19 vaccination campaigns, vaccine confidence has significantly declined since the onset of the pandemic; the comparison of a pre- and post-pandemic cohort sheds light on the differential effect that the pandemic had on vaccine confidence in different demographic groups.
Collapse
Affiliation(s)
- Alessandro Siani
- Corresponding author at: University of Portsmouth, King Henry Building, King Henry 1st Street, PO1 2DY Portsmouth, UK
| | | |
Collapse
|
15
|
Kour P, Gele A, Aambø A, Qureshi SA, Sheikh NS, Vedaa Ø, Indseth T. Lowering COVID-19 vaccine hesitancy among immigrants in Norway: Opinions and suggestions by immigrants. Front Public Health 2022; 10:994125. [PMID: 36466508 PMCID: PMC9709441 DOI: 10.3389/fpubh.2022.994125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/01/2022] [Indexed: 11/17/2022] Open
Abstract
Even though COVID-19 vaccine has been proved effective, vaccine uptake and coverage has been and still is a great concern across different immigrant groups. Vaccine hesitancy remains a barrier to accept the vaccine among immigrants across the globe-including Norway-despite higher rates of hospitalizations and deaths. This study aimed to explore the opinions and suggestions of immigrants on how to lower the COVID-19 vaccine hesitancy among immigrants in Norway. Qualitative interviews were conducted with 88 persons with different immigrant background. Data was analyzed using framework analysis, utilizing "3Cs model of vaccine hesitancy" as a theoretical framework. The analysis yielded five main themes related to factors that may lower the vaccine hesitancy among immigrants in Norway: (1) Effective cultural communication, (2) Vaccine advocacy through community engagement, (3) Motivating factors, (4) Collaborative efforts via government and healthcare, and (5) Incentives for vaccination. This study enhanced our understanding of factors that according to immigrants themselves may lower the vaccine hesitancy. The insights obtained in this study can contribute to a better understanding of the current status of vaccine uptake among immigrants and can further give directions on how to improve vaccine uptake in these groups in Norway.
Collapse
Affiliation(s)
- Prabhjot Kour
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway,*Correspondence: Prabhjot Kour
| | - Abdi Gele
- Unit for Migration and Health, Department of Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Arild Aambø
- Unit for Migration and Health, Department of Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Samera A. Qureshi
- Unit for Migration and Health, Department of Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Naima Said Sheikh
- Unit for Migration and Health, Department of Health Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Øystein Vedaa
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway,Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Thor Indseth
- Unit for Migration and Health, Department of Health Services, Norwegian Institute of Public Health, Oslo, Norway
| |
Collapse
|
16
|
Geographic and Socioeconomic Inequalities in Delays in COVID-19 Vaccinations: A Cross-Sectional Study in Indonesia. Vaccines (Basel) 2022; 10:vaccines10111857. [DOI: 10.3390/vaccines10111857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/21/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022] Open
Abstract
Background: Previous studies have provided evidence of inequalities in the coverage of COVID-19 vaccination. However, evidence of such inequalities in delays in vaccinations is lacking. Our study examined the socioeconomic and geographic disparities in terms of days to get the first and second dose of COVID-19 vaccinations in Indonesia. Methods: We conducted a cross-sectional study using the WhatsApp messaging app and social media platforms during December 2021–February 2022. We distributed the questionnaire through our university network to reach all regions. We included 3592 adults aged 15+ years in our analysis. We used two main dependent variables: days to receive the first dose (after national vaccine rollout) and days to receive the second dose (after receiving the first dose). We examined a range of socioeconomic and geographic indicators, including education level, income level, formal employment, working in health facilities, being a health worker, and region. We controlled for sex, age, religion, and urbanicity. We performed multivariate logistic regressions in STATA 15. Results: Our findings show considerable delays in getting the first dose among participants (160.7 days or about 5.4 months on average) from Indonesia’s national COVID-19 vaccination rollout on 13 January 2021. However, we found a shorter period to receive the second dose after receiving the first dose (41.1 days on average). Moreover, we found significant socioeconomic (i.e., education, income, formal employment, working in health facilities, and being a health worker) and geographic (i.e., in and out of the Java region) inequalities in terms of delays in getting the first dose. However, we did not find significant inequalities in getting the second dose for most inequality indicators, except for working in health facilities. By region, we found that participants living in more deprived areas (out of the Java region) received the second dose 4.9 days earlier. One of the study’s key limitations is that there may be an inherent bias with respect to socioeconomics factors since it was conducted online (web-based). Conclusions: While there were considerable delays in getting the first dose, especially among those of a lower socioeconomic status and those in more deprived areas, the waiting time for the second dose was relatively similar for everyone once they were in the system. Effective efforts to address inequalities are essential to ensuring the effectiveness of the national COVID-19 vaccination rollout.
Collapse
|
17
|
Spetz M, Lundberg L, Nwaru C, Li H, Santosa A, Ng N, Leach S, Gisslén M, Hammar N, Nyberg F, Rosvall M. An intersectional analysis of sociodemographic disparities in Covid-19 vaccination: A nationwide register-based study in Sweden. Vaccine 2022; 40:6640-6648. [PMID: 36210254 PMCID: PMC9515344 DOI: 10.1016/j.vaccine.2022.09.065] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Studies on sociodemographic disparities in Covid-19 vaccination uptake in the general population are still limited and mostly focused on older adults. This study examined sociodemographic differences in Covid-19 vaccination uptake in the total Swedish population aged 18-64 years. METHODS National Swedish register data within the SCIFI-PEARL project were used to cross-sectionally investigate sociodemographic differences in Covid-19 vaccination among Swedish adults aged 18-64 years (n = 5,987,189) by 12 October 2021. Using logistic regression models, analyses were adjusted for sociodemographic factors, region of residence, history of Covid-19, and comorbidities. An intersectional analysis approach including several cross-classified subgroups was used to further address the complexity of sociodemographic disparities in vaccination uptake. FINDINGS By 12 October 2021, 76·0% of the Swedish population 18-64 years old had received at least two doses of Covid-19 vaccine, an additional 5·5% had received only one dose, and 18·5% were non-vaccinated. Non-vaccinated individuals were, compared to vaccinated, more often younger, male, had a lower income, were not gainfully employed, and/or were born outside Sweden. The social patterning for vaccine dose two was similar, but weaker, than for dose one. After multivariable adjustments, findings remained but were attenuated indicating the need to consider different sociodemographic factors simultaneously. The intersectional analysis showed a large variation in vaccine uptake ranging from 32% to 96% in cross-classified subgroups, reflecting considerable sociodemographic heterogeneity in vaccination coverage. INTERPRETATION Our study, addressing the entire Swedish population aged 18-64 years, showed broad sociodemographic disparities in Covid-19 vaccine uptake but also wide heterogeneities in coverage. The intersectional analysis approach indicates that focusing on specific sociodemographic factors in isolation and group average risks without considering the heterogeneity within such groups will risk missing the full variability of vaccine coverage. FUNDING SciLifeLab / Knut & Alice Wallenberg Foundation, Swedish Research Council, Swedish government ALF agreement, FORMAS.
Collapse
Affiliation(s)
- M. Spetz
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden,Department of Clinical Microbiology, Sahlgrenska University Hospital, Region Västra Gotaland, Gothenburg, Sweden,Corresponding author at: School of Public health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Box 463, 405 30 Gothenburg, Sweden
| | - L. Lundberg
- Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Department of Clinical Pharmacology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - C. Nwaru
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - H. Li
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - A. Santosa
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - N. Ng
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - S. Leach
- Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Department of Clinical Pharmacology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - M. Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden,Department of Infectious Diseases, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - N. Hammar
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - F. Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - M. Rosvall
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden,Department of Social Medicine, Regionhälsan, Region Västra Götaland, Gothenburg, Sweden
| |
Collapse
|