Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A multilevel analysis of individual and community-level factors associated with childhood immunisation in Bangladesh: Evidence from a pooled cross-sectional survey
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). (Swedish Winter Sports Research Centre)ORCID iD: 0000-0001-5577-0940
Show others and affiliations
2023 (English)In: Vaccine: X, E-ISSN 2590-1362, Vol. 14, article id 100285Article in journal (Refereed) Published
Abstract [en]

Introduction: Previous studies on childhood vaccinations in Bangladesh relied on single-level analyses and ignored the clustering and hierarchical structure of data collected from people living in different geographical units. This study, therefore, aimed to investigate the association between individual and community-level factors of full childhood immunisation with an improved analytical approach. Methods: Participants were 13,752 children aged 12–59 months. Data were extracted from the Bangladesh Demographic and Health Survey (BDHS) conducted in 2007, 2011, 2014, and 2017–18. A two-level multilevel logistic regression method was used to analyse the data. Results: Approximately 87% of the children were fully immunised. In the fully adjusted model, at the individual level, mothers who had primary and above education (Adjusted odds ratio [AOR] = 1.78; 95% Confidence Interval [CI]: 1.57, 2.01), mass media exposure (AOR = 1.14; 95% CI: 1.00, 1.30), having vaccination cards (AOR = 3.65; 95% CI: 3.23, 4.14), and having at least 4 antenatal care (ANC) visits (AOR = 1.24; 95% CI: 1.06, 1.44) were strongly associated with full childhood immunisation. At community-level, rural residency (AOR = 1.25; 95% CI: 1.08, 1.44), community women's education (AOR = 1.24; 95% CI: 1.07, 1.43), and community ANC utilisation (AOR = 1.38; 95% CI: 1.19, 1.61) were significantly associated with full childhood immunisation. Conclusion: Along with individual-level factors, community-level factors have a significant effect on childhood immunisation. Policymakers should target improving community-level characteristics, such as community poverty, education levels, and the number of community-level ANC visits, to increase the national level of childhood immunisation. Public health intervention programs aiming at increasing awareness of childhood immunisation should include elements at both individual and community levels. © 2023 The Author(s)

Place, publisher, year, edition, pages
2023. Vol. 14, article id 100285
Keywords [en]
Bangladesh, Childhood immunisation, Community-level factors, Individual-level factors, Multilevel modelling
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:miun:diva-48117DOI: 10.1016/j.jvacx.2023.100285ISI: 000972393800001Scopus ID: 2-s2.0-85151276009OAI: oai:DiVA.org:miun-48117DiVA, id: diva2:1750158
Available from: 2023-04-12 Created: 2023-04-12 Last updated: 2024-05-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Lee, Ka Yiu

Search in DiVA

By author/editor
Lee, Ka Yiu
By organisation
Department of Health Sciences (HOV)
In the same journal
Vaccine: X
Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 52 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf