Evidence map›Paper›PMID 38054505›Full record

SynthesisThe Cochrane database of systematic reviews2023

Interventions for improving coverage of childhood immunisation in low- and middle-income countries.

Angela Oyo-Ita, Olabisi Oduwole, Dachi Arikpo, Emmanuel E Effa, Ekpereonne B Esu, Yusentha Balakrishna, Moriam T Chibuzor, Chioma M Oringanje, Chukwuemeka E Nwachukwu, Charles S Wiysonge and 1 more

Registry-linked trialOpen access · greenAbstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07592260 (OptiMAx), which is not on this map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
12.7field-weighted citation impact, top 1% 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.

NCT07592260 narecruitingnot on this mapstarted 2025, after this paper: background citation

OptiMAx: Incentivizing EPI Vaccination Via Distribution of SQ-LNS Nutritional Supplementation to Children From Age 6-11 Months Until 18 Months of Age in Rural Chad and Niger, With a Cost Effectiveness Analysis Protocol for a Research Study Nested in the OptiMA Research Study in Ngouri Health District, Lake Region, Chad and Mirriah Health District, Zinder Region, Niger

TypeinterventionalSponsorAlliance for International Medical ActionRan2025 to 2026Enrolled20,000ConditionsMalnutrition Severe, VaccinationArmssmall quantity lipid-based supplement (SQ-LNS)
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  11. Content and Factors Influencing Health Education in Immunisation Clinics in Nigeria.Tropical medicine & international health : TM & IH · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Angela Oyo-ItaDepartment of Community Health, University of Calabar Teaching Hospital, Calabar, Nigeria.
Olabisi OduwoleDepartment of Medical Laboratory Science, Achievers University, Owo, Nigeria.
Dachi ArikpoCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Emmanuel E EffaInternal Medicine, College of Medical Sciences, University of Calabar, Calabar, Nigeria.
Ekpereonne B EsuDepartment of Public Health, College of Medical Sciences, University of Calabar, Calabar, Nigeria.
Yusentha BalakrishnaBiostatistics Unit, South African Medical Research Council, Durban, South Africa.
Moriam T ChibuzorCochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
Chioma M OringanjeGIDP Entomology and Insect Science, University of Tucson, Tucson, Arizona, USA.
Chukwuemeka E NwachukwuExcellence & Friends Management Consult (EFMC), Abuja, Nigeria.
Charles S WiysongeCochrane South Africa, South African Medical Research Council, Cape Town, South Africa.
Martin M MeremikwuDepartment of Paediatrics, University of Calabar Teaching Hospital, Calabar, Nigeria.
University of Calabar · NGSouth African Medical Research Council · ZAAchievers University · NGExcellence & Friends Management Care Centre · NGUniversity of Arizona · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundImmunisation plays a major role in reducing childhood morbidity and mortality. Getting children immunised against potentially fatal and debilitating vaccine-preventable diseases remains a challenge despite the availability of efficacious vaccines, particularly in low- and middle-income countries. With the introduction of new vaccines, this becomes increasingly difficult. There is therefore a current need to synthesise the available evidence on the strategies used to bridge this gap. This is a second update of the Cochrane Review first published in 2011 and updated in 2016, and it focuses on interventions for improving childhood immunisation coverage in low- and middle-income countries.

objectivesTo evaluate the effectiveness of intervention strategies to boost demand and supply of childhood vaccines, and sustain high childhood immunisation coverage in low- and middle-income countries. SEARCH

methodsWe searched CENTRAL, MEDLINE, CINAHL, and Global Index Medicus (11 July 2022). We searched Embase, LILACS, and Sociological Abstracts (2 September 2014). We searched WHO ICTRP and ClinicalTrials.gov (11 July 2022). In addition, we screened reference lists of relevant systematic reviews for potentially eligible studies, and carried out a citation search for 14 of the included studies (19 February 2020). SELECTION CRITERIA: Eligible studies were randomised controlled trials (RCTs), non-randomised RCTs (nRCTs), controlled before-after studies, and interrupted time series conducted in low- and middle-income countries involving children that were under five years of age, caregivers, and healthcare providers. DATA COLLECTION AND ANALYSIS: We independently screened the search output, reviewed full texts of potentially eligible articles, assessed the risk of bias, and extracted data in duplicate, resolving discrepancies by consensus. We conducted random-effects meta-analyses and used GRADE to assess the certainty of the evidence. MAIN

resultsForty-one studies involving 100,747 participants are included in the review. Twenty studies were cluster-randomised and 15 studies were individually randomised controlled trials. Six studies were quasi-randomised. The studies were conducted in four upper-middle-income countries (China, Georgia, Mexico, Guatemala), 11 lower-middle-income countries (Côte d'Ivoire, Ghana, Honduras, India, Indonesia, Kenya, Nigeria, Nepal, Nicaragua, Pakistan, Zimbabwe), and three lower-income countries (Afghanistan, Mali, Rwanda). The interventions evaluated in the studies were health education (seven studies), patient reminders (13 studies), digital register (two studies), household incentives (three studies), regular immunisation outreach sessions (two studies), home visits (one study), supportive supervision (two studies), integration of immunisation services with intermittent preventive treatment of malaria (one study), payment for performance (two studies), engagement of community leaders (one study), training on interpersonal communication skills (one study), and logistic support to health facilities (one study). We judged nine of the included studies to have low risk of bias; the risk of bias in eight studies was unclear and 24 studies had high risk of bias. We found low-certainty evidence that health education (risk ratio (RR) 1.36, 95% confidence interval (CI) 1.15 to 1.62; 6 studies, 4375 participants) and home-based records (RR 1.36, 95% CI 1.06 to 1.75; 3 studies, 4019 participants) may improve coverage with DTP3/Penta 3 vaccine. Phone calls/short messages may have little or no effect on DTP3/Penta 3 vaccine uptake (RR 1.12, 95% CI 1.00 to 1.25; 6 studies, 3869 participants; low-certainty evidence); wearable reminders probably have little or no effect on DTP3/Penta 3 uptake (RR 1.02, 95% CI 0.97 to 1.07; 2 studies, 1567 participants; moderate-certainty evidence). Use of community leaders in combination with provider intervention probably increases the uptake of DTP3/Penta 3 vaccine (RR 1.37, 95% CI 1.11 to 1.69; 1 study, 2020 participants; moderate-certainty evidence). We are uncertain about the effect of immunisation outreach on DTP3/Penta 3 vaccine uptake in children under two years of age (RR 1.32, 95% CI 1.11 to 1.56; 1 study, 541 participants; very low-certainty evidence). We are also uncertain about the following interventions improving full vaccination of children under two years of age: training of health providers on interpersonal communication skills (RR 5.65, 95% CI 3.62 to 8.83; 1 study, 420 participants; very low-certainty evidence), and home visits (RR 1.29, 95% CI 1.15 to 1.45; 1 study, 419 participants; very low-certainty evidence). The same applies to the effect of training of health providers on interpersonal communication skills on the uptake of DTP3/Penta 3 by one year of age (very low-certainty evidence). The integration of immunisation with other services may, however, improve full vaccination (RR 1.29, 95% CI 1.16 to 1.44; 1 study, 1700 participants; low-certainty evidence). AUTHORS'

conclusionsHealth education, home-based records, a combination of involvement of community leaders with health provider intervention, and integration of immunisation services may improve vaccine uptake. The certainty of the evidence for the included interventions ranged from moderate to very low. Low certainty of the evidence implies that the true effect of the interventions might be markedly different from the estimated effect. Further, more rigorous RCTs are, therefore, required to generate high-certainty evidence to inform policy and practice.

Indexed as

Developing CountriesVaccinesChildHealth EducationHumansImmunizationInfantRandomized Controlled Trials as TopicVaccinationVaccines

Identifiers

PMID38054505
PMCPMC10698843
OpenAlexW4389373185

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.