Evidence map›Paper›PMID 40850925›Full record

ArticleBMJ open2025

Promotion over pixels: a mixed-methods analysis of vaccine communication strategies in Plateau State, Nigeria.

Jerisha Daniel Kakwi, Kabiru Mustapha Yakasai, Josephine Daniel Kakwi, Morufu Olalekan Raimi

Abstract read
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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jerisha Daniel KakwiPublic Health, Maryam Abacha American University, Niger, Niger.
Kabiru Mustapha YakasaiPublic Health, Maryam Abacha American University, Niger, Niger.
Josephine Daniel KakwiPublic Health, Plateau State University, Bokkos, Plateau State, Nigeria.
Morufu Olalekan RaimiNiger-Delta Institute for Emerging and Re-Emerging Infectious Diseases (NDIERID), Federal University Otuoke, Otuoke, Bayelsa State, Nigeria raimimo@fuotuoke.edu.ng.ORCID http://orcid.org/0000-0001-5042-6729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleThe COVID-19 pandemic prompted the implementation of multiple public health strategies to encourage vaccine uptake. Among these, digital media campaigns, community outreach programmes and promotional efforts have been widely used. However, there remains limited understanding of their relative effectiveness in influencing vaccine acceptance, particularly within the Nigerian context.

objectiveThis study aimed to assess the relationship between digital media campaigns, community outreach programmes and promotional efforts and their influence on COVID-19 vaccine acceptance in Plateau State, Nigeria, while identifying which strategy had the most significant impact.

methodsA cross-sectional mixed-methods design was employed. Quantitative data were collected from 300 adult respondents using a structured questionnaire, while qualitative data were obtained through key informant interviews. Descriptive statistics, Spearman's correlation and regression analyses were used to analyse the quantitative data, and thematic analysis was applied to qualitative responses.

resultsPromotion efforts exhibited the strongest positive correlation with vaccine acceptance (Spearman's rho=0.490, p<0.01), followed by community outreach programmes (rho=0.414, p<0.01) and digital media campaigns (rho=0.239, p<0.01). Regression analysis showed that promotional efforts accounted for 24.0% of the variance in vaccine acceptance (R

conclusionsAll three strategies were significantly associated with vaccine acceptance, with promotional efforts being the most impactful. These findings highlight the importance of prioritising community-based promotional campaigns, supported by outreach programmes and digital media, particularly in settings with varying access and trust in health systems.

Indexed as

COVID-19COVID-19 VaccinesHealth PromotionPatient Acceptance of Health CareVaccination HesitancyAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNigeriaSARS-CoV-2Surveys and QuestionnairesVaccinationCOVID-19 VaccinesCommunity child healthEpidemiologyImmunization ProgramsPrimary Health CarePUBLIC HEALTHVaccination

Identifiers

PMID40850925
PMCPMC12382524

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Registered trials

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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.