Evidence map›Paper›PMID 35587501›Full record

ArticlePloS one2022

What drives willingness to receive a new vaccine that prevents an emerging infectious disease? A discrete choice experiment among university students in Uganda.

Kimberly E Bonner, Henry Ssekyanzi, Jonathan Sicsic, Judith E Mueller, Traci Toomey, Angela K Ulrich, Keith J Horvath, James D Neaton, Cecily Banura, Nicole E Basta

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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.

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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. 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

10 authors at 6 institutions in 4 countries.

Kimberly E BonnerDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID 0000-0002-6942-4050
Henry SsekyanziCollege of Health Sciences, Makerere University, Kampala, Uganda.
Jonathan SicsicUniversity of Paris, LIRAES, Paris, France.ORCID 0000-0002-5509-4791
Judith E MuellerEHESP French School of Public Health, La Plaine St Denis, France.ORCID 0000-0003-0797-9971
Traci ToomeyDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Angela K UlrichDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Keith J HorvathDepartment of Psychology, San Diego State University, United States of America.
James D NeatonDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America.
Cecily BanuraChild Health and Development Centre, College of Health Sciences, School of Medicine, Makerere University, Kampala, Uganda.
Nicole E BastaDepartment of Epidemiology, Biostatistics, and Occupational Health, School of Population and Global Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-4951-6353
University of Minnesota · USMakerere University · UGInstitut Pasteur · FRMcGill University · CASan Diego State University · USUniversité Paris Cité · FR

Funding

Quantifying the Breadth and Duration of Immunity Induced by Meningococcal B VaccinesR01AI132496 · NIAID · UNIVERSITY OF MINNESOTA · PI BASTA, NICOLE ELAINE · 2018 to 2023
$3.1M
NIAID NIH HHS R01 AI132496
6 · The paper itself

Abstract

backgroundThere is a critical need to identify the drivers of willingness to receive new vaccines against emerging and epidemic diseases. A discrete choice experiment is the ideal approach to evaluating how individuals weigh multiple attributes simultaneously. We assessed the degree to which six attributes were associated with willingness to be vaccinated among university students in Uganda.

methodsWe conducted a single-profile discrete choice experiment at Makerere University in 2019. Participants were asked whether or not they would be vaccinated in 8 unique scenarios where attributes varied by disease risk, disease severity, advice for or against vaccination from trusted individuals, recommendations from influential figures, whether the vaccine induced indirect protection, and side effects. We calculated predicted probabilities of vaccination willingness using mixed logistic regression models, comparing health professional students with all other disciplines.

findingsOf the 1576 participants, 783 (49.8%) were health professional students and 685 (43.5%) were female. Vaccination willingness was high (78%), and higher among health students than other students. We observed the highest vaccination willingness for the most severe disease outcomes and the greatest exposure risks, along with the Minister of Health's recommendation or a vaccine that extended secondary protection to others. Mild side effects and recommendations against vaccination diminished vaccination willingness.

interpretationOur results can be used to develop evidence-based messaging to encourage uptake for new vaccines. Future vaccination campaigns, such as for COVID-19 vaccines in development, should consider acknowledging individual risk of exposure and disease severity and incorporate recommendations from key health leaders.

Indexed as

Communicable Diseases, EmergingCOVID-19VaccinesCOVID-19 VaccinesCross-Sectional StudiesFemaleHumansMaleStudentsUgandaUniversitiesVaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID35587501
PMCPMC9119467
OpenAlexW4280567649

What OpenQuestion holds

Textmetadata
LicenceCC0
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.