Evidence map›Paper›PMID 33861742›Full record

Trial reportPloS one2021

Effects of engaging communities in decision-making and action through traditional and religious leaders on vaccination coverage in Cross River State, Nigeria: A cluster-randomised control trial.

Angela Oyo-Ita, Xavier Bosch-Capblanch, Amanda Ross, Afiong Oku, Ekpereonne Esu, Soter Ameh, Olabisi Oduwole, Dachi Arikpo, Martin Meremikwu

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines 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

9 authors.

Angela Oyo-ItaDepartment of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.ORCID 0000-0002-2583-6934
Xavier Bosch-CapblanchUniversity of Basel, Basel, Switzerland.
Amanda RossUniversity of Basel, Basel, Switzerland.
Afiong OkuDepartment of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
Ekpereonne EsuEffective Health Care Alliance Programme, Institute of Tropical Disease, Research and Prevention, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria.ORCID 0000-0002-9637-0633
Soter AmehDepartment of Community Medicine, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
Olabisi OduwoleEffective Health Care Alliance Programme, Institute of Tropical Disease, Research and Prevention, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria.
Dachi ArikpoEffective Health Care Alliance Programme, Institute of Tropical Disease, Research and Prevention, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria.ORCID 0000-0002-9035-9193
Martin MeremikwuEffective Health Care Alliance Programme, Institute of Tropical Disease, Research and Prevention, University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaccination coverage levels fall short of the Global Vaccine and Action Plan 90% target in low- and middle- income countries (LMICs). Having identified traditional and religious leaders (TRLs) as potential public health change agents, this study aimed at assessing the effect of training them to support routine immunisation for the purpose of improving uptake of childhood vaccines in Cross River State, Nigeria.

methodsA cluster-randomised controlled study was conducted between 2016 and 2019. Of the 18 Local Government Areas (LGA) in Cross River State, eight (four urban and four rural LGAs) were randomized into the intervention and control study arms. A multi-component intervention involving the training of traditional and religious leaders was implemented in the four intervention LGAs. Baseline, midline and endline surveys collected information on children aged 0-23 months. The effect of the intervention on outcomes including the proportion fully up-to-date with vaccination, timely vaccination for pentavalent and measles vaccines, and pentavalent 1-3 dropout rates were estimated using logistic regression models using random effects to account for the clustered data.

resultsA total of 2598 children at baseline, 2570 at midline, and 2550 at endline were included. The intervention was effective in increasing the proportion with at least one vaccine (OR 12.13 95% CI 6.03-24.41p<0.001). However, there was no evidence of an impact on the proportion of children up-to-date with vaccination (p = 0.69). It was effective in improving timeliness of Pentavalent 3 (OR 1.55; 95% CI: 1.14, 2.12; p = 0.005) and Measles (OR 2.81; 96% CI: 1.93-4.1; p<0.001) vaccination. The odds of completing Pentavalent vaccination increased (OR = 1.66 95% CI: 1.08,2.55).

conclusionInformal training to enhance the traditional and religious leaders' knowledge of vaccination and their leadership role can empower them to be good influencers for childhood vaccination. They constitute untapped resources in the community to boost routine immunisation. Pan African Clinical Trial Registry (PACTR) PACTR202008784222254.

Indexed as

AdultFemaleHealth EducationHumansImmunization ProgramsInfantLeadershipMaleMeaslesMeasles VaccineNigeriaParentsPublic HealthReligious PersonnelRural PopulationVaccinationMeasles Vaccine

Identifiers

PMID33861742
PMCPMC8051768

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.