Evidence map›Paper›PMID 32208952›Full record

ArticleHuman vaccines & immunotherapeutics2020

Drivers and barriers of vaccine acceptance among pregnant women in Kenya.

Nancy A Otieno, Fredrick Otiato, Bryan Nyawanda, Maxwel Adero, Winnie N Wairimu, Dominic Ouma, Raphael Atito, Andrew Wilson, Ines Gonzalez-Casanova, Fauzia A Malik and 4 more

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
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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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Nancy A OtienoCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.ORCID 0000-0002-7083-4735
Fredrick OtiatoCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.ORCID 0000-0002-0245-6680
Bryan NyawandaCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.ORCID 0000-0003-0069-1473
Maxwel AderoCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.
Winnie N WairimuCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.
Dominic OumaCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.
Raphael AtitoCenter for Global Health Research, Kenya Medical Research Institute , Kisumu, Kenya.
Andrew WilsonRollins School of Public Health, Hubert Department of Global Health, Emory University , Atlanta, GA, USA.
Ines Gonzalez-CasanovaRollins School of Public Health, Hubert Department of Global Health, Emory University , Atlanta, GA, USA.
Fauzia A MalikRollins School of Public Health, Hubert Department of Global Health, Emory University , Atlanta, GA, USA.
Marc-Alain WiddowsonDivision of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention , Nairobi, Kenya.ORCID 0000-0002-0682-6933
Saad B OmerYale Institute for Global Health.
Sandra S ChavesInfluenza Program, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID 0000-0002-9453-7057
Jennifer R VeraniDivision of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention , Nairobi, Kenya.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Maternal vaccination coverage remains suboptimal globally and is lowest in low- and middle-income countries. Attitudes toward maternal vaccines have been characterized in middle-high income settings, however data from African countries are limited. We assessed drivers and barriers of vaccine acceptance among pregnant women in Kenya. We conducted a cross-sectional survey among pregnant women aged 15-49 y. We enrolled a convenience sample of women presenting for antenatal care at seven health-care facilities in four diverse counties (Nairobi, Mombasa, Marsabit, Siaya) of Kenya and from the community in two counties (Nairobi, Siaya). We described frequencies of socio-demographic characteristics of participants and their knowledge, attitudes, and beliefs regarding maternal vaccination. We enrolled 604 pregnant women with a median age of 26.5 y, of whom 48.2% had primary education or less. More than 95% agreed that maternal vaccines are "important for my health" and that getting vaccinated is "a good way to protect myself from disease". The most commonly cited reason in favor of maternal vaccination was disease prevention (53.2%). Fear of side effects to mother/baby (15.1%) was the most frequently reported potential barrier. Influenza vaccine is not in routine use in Kenya; however, 77.8% reported willingness to accept influenza vaccination during pregnancy. Maternal vaccination is well accepted among Kenyan pregnant women. We identified the provision of adequate vaccine information and addressing safety concerns as opportunities to improve maternal vaccine uptake. The expressed willingness to receive a vaccine not currently in routine use bodes well for implementation of new maternal vaccines in Kenya.

Indexed as

Influenza, HumanInfluenza VaccinesCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansKenyaPatient Acceptance of Health CarePregnancyPregnant PeopleSurveys and QuestionnairesVaccinationInfluenza Vaccinesbarriersdriverspregnant womenuptakevaccine acceptance

Identifiers

PMID32208952
PMCPMC7644175

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.