Evidence map›Paper›PMID 39935874›Full record

ArticleFrontiers in public health2025

Mobile health interventions on vaccination coverage among children under 5 years of age in Low and Middle-Income countries; a scoping review.

Olanrewaju Onigbogi, Omobola Yetunde Ojo, Ulla-Mari Kinnunen, Kaija Saranto

Abstract readScoping Review
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Olanrewaju OnigbogiDepartment of Community Health and Primary Care, University of Lagos, Lagos, Nigeria.
Omobola Yetunde OjoDepartment of Community Medicine and Primary Care, Federal Medical Center, Abeokuta, Nigeria.
Ulla-Mari KinnunenDepartment of Health and Social Management, University of Eastern Finland, Kuopio, Finland.
Kaija SarantoDepartment of Health and Social Management, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Increased mobile phone use in Low- and Middle-Income countries (LMIC) has led to suggestions that health interventions using mobile phones can help solve some health problems. Vaccination has been shown to be an effective means of improving health outcomes. However, vaccination coverage in many LMIC has been generally low. The aim of this study was to synthesize evidence concerning the context, mechanisms, and outcome elements of mobile health interventions in improving vaccination coverage among children under 5 years of age in LMIC. Methods: A search conducted using PubMed, Web of Science, ScienceDirect, CINAHL, Embase, and the Cochrane library led to 27 studies included in the final analysis out of 357 identified articles. Results: Twenty-one studies were from Africa, four from Asia and two studies were from Latin America and the Caribbean. Short Message Service (SMS) intervention was used exclusively in 21 studies while six studies used a combination of SMS and phone calls, and one intervention was based only on phone calls. Conclusion: The results from most studies suggest an improved uptake of vaccination with mobile health interventions. However, there is a need for further research to quantify the impact of these interventions and determine the most effective strategies.

Indexed as

Cell PhoneDeveloping CountriesTelemedicineText MessagingVaccinationVaccination CoverageChild, PreschoolHumansInfantchildrenLow- and Middle-Income countriesmHealthscoping reviewunder fivevaccination

Identifiers

PMID39935874
PMCPMC11810739

What OpenQuestion holds

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LicenceCC BY
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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.