Evidence map›Paper›PMID 39747227›Full record

ArticleScientific reports2025

Factors associated with vaccine default in Southern Ghana based on data from the RTSS malaria vaccine trial in Cape Coast.

Vincent Bio Bediako, Josephine Akua Ackah, Theophilus Junior Yankey, Joshua Okyere, Emmanuella Acheampong, Bernard Afriyie Owusu, Wonder Agbemavi, Adanna Uloaku Nwameme, Edward Mberu Kamau, Emmanuel Asampong

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

10 authors.

Vincent Bio BediakoThe Graduate Group in Demography, University of Pennsylvania, Philadelphia, USA. vbediako@sas.upenn.edu.
Josephine Akua AckahDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Theophilus Junior YankeyDepartment of Health Sciences and Social Work, Western Illinois University, Macomb, IL, United States of America.
Joshua OkyereDepartment of Nursing, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Emmanuella AcheampongDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Bernard Afriyie OwusuDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Wonder AgbemaviDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Adanna Uloaku NwamemeSchool of Public Health, University of Ghana, Accra, Ghana.
Edward Mberu KamauThe Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organisation, Geneva, Switzerland.
Emmanuel AsampongSchool of Public Health, University of Ghana, Accra, Ghana.

Funding

Access and Delivery Partnership (ADP) UGSPH/CIRT-M/001World Health Organization 001
6 · The paper itself

Abstract

Malaria has been a severe global and public health concern for the last couple of decades. Ghana, like many other countries in sub-Saharan Africa, is most affected by the disease, with children facing dire consequences. The recent introduction of the RTS, S malaria vaccine holds great potential in reducing malaria fatalities in children. However, RTS, S implementation have inherent challenges that raise the stakes of vaccine defaults in piloted areas in Ghana. In this study, we examine the predictors of RTS, S vaccine defaults using a cross-sectional research design that covers a sample of 765 caregivers in Southern Ghana. Classification models (Binary logistic regression and Random Forest) were performed to identify critical socio-demographic, health and RTS, S related predictors. The findings show that more than a third (38.43%) of children defaulted at least one dose of the malaria vaccine. Key predictors of defaults included sub-metro of residence, cost of traveling to health facilities, experience of adverse events, knowledge about the vaccine doses, caregiver's employment status, and religion. Our findings emphasize the need for targeted interventions to reduce defaults, mainly focusing on caregiver education on vaccines, reducing financial barriers to healthcare access, and addressing concerns about adverse events.

Indexed as

MalariaMalaria VaccinesAdultCaregiversChildChild, PreschoolCross-Sectional StudiesFemaleGhanaHealth Services AccessibilityHumansInfantMaleMiddle AgedNo-Show PatientsVaccinationMalaria VaccinesMalariaPublic healthRTSS vaccineVaccine default

Identifiers

PMID39747227
PMCPMC11695999

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.