Evidence map›Paper›PMID 39430738›Full record

ArticleVaccine: X2024

Exploring the landscape of routine immunization in Nigeria: A scoping review of barriers and facilitators.

Yahaya Mohammed, Heidi W Reynolds, Hyelshilni Waziri, Adam Attahiru, Ahmed Olowo-Okere, Moreen Kamateeka, Ndadilnasiya Endie Waziri, Aminu Magashi Garba, Gustavo C Corrêa, Rufai Garba and 2 more

Abstract readScoping Review
In one paragraph

Article in Vaccine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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.

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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.

Yahaya MohammedAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.
Heidi W ReynoldsGavi, The Vaccine Alliance, Chemin du Pommier 40, Le Grand Saconnex, 1218 Geneva, Switzerland.
Hyelshilni WaziriAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.
Adam AttahiruAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.
Ahmed Olowo-OkereUsmanu Danfodiyo University, Abdullahi Fodio Road, 234 Sokoto, Nigeria.
Moreen KamateekaAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.
Ndadilnasiya Endie WaziriAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.
Aminu Magashi GarbaAfrica Health Budget Network (AHBN), 9 Berbera Street, 1st Flour Off Yaounde Street, Wuse Zone 6, Abuja, Nigeria.
Gustavo C CorrêaGavi, The Vaccine Alliance, Chemin du Pommier 40, Le Grand Saconnex, 1218 Geneva, Switzerland.
Rufai GarbaNational Primary Health Care Development Agency, 681/682 Port Harcourt Cres, Garki, Abuja, Nigeria.
Nancy VollmerJSI Research & Training Institute, Inc. (JSI), 2080 Addison Street Suite 4, Berkeley, CA 94704-1692, USA.
Patrick NgukuAfrican Field Epidemiology Network (AFENET), Nigeria, 50 Haile Selassie St, Asokoro, Abuja 900103, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite global efforts to improve vaccination coverage, the number of zero-dose and under-immunized children has increased in Africa, particularly in Nigeria, which has over 2.1 million unvaccinated (zero dose) children, the highest in the continent. This scoping review systematically maps and summarizes existing literature on the barriers and facilitators of immunization in Nigeria, focusing on regional inequalities. Methods: A comprehensive search of electronic databases was conducted, encompassing all data from their inception to October 2023, to identify articles on the determinants of routine immunization uptake in Nigeria. Eligible studies were evaluated using predefined criteria, and the data were analyzed and visualized. Results: The results revealed distinct regional variations in factors influencing immunization practices across Nigeria's six geopolitical zones. Identified barriers include logistical issues, socio-economic factors, cultural influences, and systemic healthcare deficiencies. Key facilitators across multiple zones are health literacy, maternal education, and community leader influence. However, unique regional differences were also identified. In the North-East, significant factors included peer influence, robust reminder systems, provision of additional security, and financial incentives for health facilities. In the North-West, perceived vaccine benefits, fear of non-immunization consequences, urban residence, health literacy, and antenatal care visits were reported as crucial. Perceived benefits of vaccines and trust in healthcare providers were identified as predominant factors in the North-Central zone In the South-East, maternal autonomy, health literacy, and fear of non-immunization consequences were important. In the South-South, peer influence and reminder systems like WhatsApp and SMS were notable, alongside higher maternal education levels. The South-West highlighted maternal autonomy, peer influence, health card usage, high maternal education, and supportive government policies as critical factors. Conclusion: Our findings underscore the need for region-specific interventions that address these unique barriers to improve immunization coverage across Nigeria. Tailored approaches that consider the socio-economic, cultural, and logistical challenges specific to each region are essential to bridge the immunization gap.

Indexed as

BarriersFacilitatorsImmunizationNigeriaScoping review

Identifiers

PMID39430738
PMCPMC11488437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.