Evidence map›Paper›PMID 35610604›Full record

ArticleBMC public health2022

Living standard and access to tetanus toxoid immunization among women in Bangladesh.

Ummay Nayeema Islam, Kanchan Kumar Sen, Wasimul Bari

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ummay Nayeema IslamDepartment of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh. nayeemaislam39@gmail.com.
Kanchan Kumar SenDepartment of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.
Wasimul BariDepartment of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough Bangladesh has an impressive track record in the reduction of maternal and child mortality, tetanus, a dreadful disease, impedes the way to achieve Sustainable Development Goal (SDG) in this respect. Sufficient doses of tetanus toxoid containing vaccine during pregnancy ensure immunity against tetanus to mothers as well as newborns. Since inequalities persist across vaccination programs globally, in this paper, an attempt has been made to examine whether tetanus toxoid immunization (TTI) status among the women of reproductive age in Bangladesh for their most recent live birth born preceding 2 years of the survey changes with their living standard index (LSI).

methodsFive domains of deprivation such as energy use, improved sanitation, drinking water, housing and assets ownership were used to compute the LSI using a approach proposed by Alkire and Foster. The adjusted association between LSI and TTI was established by using logistic regression model. For the purpose of statistical analysis, a nationally representative cross-sectional data extracted from Bangladesh Multiple Indicator Cluster Survey (BMICS), 2019 have been used.

resultThe bivariate analysis revealed that 79.5% (95% CI 78.0-81.0) of women with low and 83.1% (95% CI 81.3-84.9) with moderate living standards had sufficient vaccination coverage for their most recent pregnancies while this percentage was higher for the women who belonged to high living standard (85.2, 95% CI = 84.2-86.2). A strong evidence for greater odds of sufficient immunization with TT among the women maintaining a high standard of living (AOR = 1.24, 95% CI = 1.08-1.42, p < 0.01) was found from regression analysis.

conclusionThe results depict existing living standard disparity with respect to TT vaccination coverage among women in Bangladesh. Present research suggests that immunization campaigns need to be conducted especially for the disadvantaged people to improve their health care and immunization service utilization among women within the age bracket of 15 to 49. This study proposed a scientific way to enhance TT vaccination among Bangladeshi women, which could help Bangladesh attain a widespread tetanus protection and thus, meet the SDGs for maternal and child mortality reduction.

Indexed as

TetanusTetanus ToxoidBangladeshChildChild, PreschoolCross-Sectional StudiesFemaleHumansImmunizationInfant, NewbornPregnancySocioeconomic FactorsVaccinationTetanus ToxoidAlkire andFoster methodologyBangladeshLiving standardMICSTetanusTetanus toxoid

Identifiers

PMID35610604
PMCPMC9128149

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.