Evidence map›Paper›PMID 37208208›Full record

ArticleVaccine2023

COVID-19 vaccine decision-making among pregnant and lactating women in Bangladesh.

Rupali J Limaye, Prachi Singh, Alicia Paul, Berhaun Fesshaye, Clarice Lee, Eleonor Zavala, Sydney Wade, Hasmot Ali, Hafizur Rahman, Shirina Akter and 2 more

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 1 institution in 2 countries.

Rupali J LimayeDepartment of International Health, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA; International Vaccine Access Center, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA; Department of Health, Behavior & Society, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: rlimaye@jhu.edu.
Prachi SinghInternational Vaccine Access Center, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: prachi@jhu.edu.
Alicia PaulInternational Vaccine Access Center, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: apaul17@jhu.edu.
Berhaun FesshayeInternational Vaccine Access Center, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: bfessha1@jhu.edu.
Clarice LeeDepartment of International Health, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: clarice.h.lee@gmail.com.
Eleonor ZavalaDepartment of International Health, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: ezavala1@jhu.edu.
Sydney WadeJohns Hopkins School of Medicine, Baltimore, MD, USA. Electronic address: swade9@jhmi.edu.
Hasmot AliJiVitA Project, Johns Hopkins University, Rangpur, Bangladesh.
Hafizur RahmanJiVitA Project, Johns Hopkins University, Rangpur, Bangladesh.
Shirina AkterJiVitA Project, Johns Hopkins University, Rangpur, Bangladesh.
Ruth KarronDepartment of International Health, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: rkarron@jhu.edu.
Towfida Jahan SiddiquaJiVitA Project, Johns Hopkins University, Rangpur, Bangladesh.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant and lactating women's vaccine decision-making process is influenced by many factors. Pregnant women were at increased risk for severe disease and poor health outcomes from COVID-19 at various time points during the pandemic. COVID-19 vaccines have been found to be safe and protective during pregnancy and while breastfeeding. In this study, we sought to examine key factors that informed the decision-making process among pregnant and lactating women in Bangladesh. We conducted 24 in-depth interviews, with 12 pregnant and 12 lactating women. These women were from three communities in Bangladesh: one urban community, and two rural communities. We used a grounded theory approach to identify emerging themes and organized emerging themes using a socio-ecological model. The socio-ecological model suggests that individuals are influenced by many levels, including individual-level influences, interpersonal-level influences, health care system-level influences, and policy-level influences. We found key factors at each socio-ecological level that influenced the decision-making process of pregnant and lactating women, including perceived benefits of vaccines and vaccine safety (individual-level), the influence of husbands and peers (interpersonal-level), health care provider recommendations and vaccine eligibility (health care system-level), and vaccine mandates (policy-level). As vaccination can reduce the effect of COVID-19 disease in mothers, infants, and unborn children, targeting critical factors that inform the decision-making process is paramount for improving vaccine acceptance. We hope the results of this study will inform vaccine acceptance efforts to ensure that pregnant and lactating women take advantage of this life-saving intervention.

Indexed as

COVID-19VaccinesBangladeshCOVID-19 VaccinesFemaleHumansInfantLactationPregnancyPregnant PeopleVaccinationCOVID-19 VaccinesVaccinesBangladeshCOVID-19Pregnant womenVaccine

Identifiers

PMID37208208
PMCPMC10183608
OpenAlexW4376605030

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.