Evidence map›Paper›PMID 38783293›Full record

ArticleBMC medical informatics and decision making2024

Trusted sources of information on COVID-19 vaccine in Uganda.

Johnson Nyeko Oloya, Nelson Onira Alema, Christopher Okot, Emmanuel Olal, Eric Nzirakaindi Ikoona, Freddy Wathum Drinkwater Oyat, Baguma Steven, Denish Omoya Ochula, Patrick Odong Olwedo, Francis Pebalo Pebolo and 5 more

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Johnson Nyeko OloyaUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Nelson Onira AlemaFaculty of Medicine, Department of Anatomy, Gulu University, Gulu City, Uganda.
Christopher OkotUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Emmanuel OlalUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Eric Nzirakaindi IkoonaICAP at Columbia University, Freetown, Sierra Leone.
Freddy Wathum Drinkwater OyatUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Baguma StevenUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Denish Omoya OchulaUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Patrick Odong OlwedoUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Francis Pebalo PeboloUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Pamela Okot AtimUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Godfrey Smart OkotUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Ritah NantaleFaculty of Health Sciences, Department of Public Health, Busitema University, Mbale City, Uganda.
Judith AloyoUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
David Lagoro KitaraUganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda. klagoro2@gmail.com.ORCID 0000-0001-7282-5026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has dramatically impacted communities worldwide, particularly in developing countries. To successfully control the pandemic, correct information and more than 80% vaccine coverage in a population were required. However, misinformation and disinformation could impact this, thus increasing COVID-19 vaccine hesitancy in communities. Several studies observed the effect of misinformation and disinformation on COVID-19 vaccine acceptance and other responses to the pandemic in the African continent. Thus, the most trusted sources of information on COVID-19 vaccines are critical for the successful management and control of the pandemic. This study aimed to assess the most trusted sources of information on COVID-19 vaccines during the pandemic in Uganda.

methodsWe conducted a cross-sectional study on 587 adult population members in northern Uganda. Single-stage stratified and systematic sampling methods were used to select participants from northern Uganda. An interviewer-administered questionnaire with an internal validity of Cronbach's α = 0.72 was used for data collection. An Institution Review Board (IRB) approved this study and Stata version 18 was used for data analysis. A Pearson Chi-square (χ2) analysis was conducted to assess associations between trusted sources of COVID-19 vaccine information and selected independent variables. Fisher's exact test considered associations when the cell value following cross-tabulation was < 5. A P-value < 0.05 was used as evidence for an association between trusted sources of information and independent variables. All results were presented as frequencies, proportions, Chi-square or Fisher's exact tests, and P-values at 95% Confidence Intervals (CI).

resultsIn a study of 587 participants, most were males, 335(57.1%), in the age group of 25-34 years, 180(31.4%), and the most trusted source of COVID-19 vaccine information were the traditional media sources for example, Televisions, Radios, and Newspapers, 349(33.6%). There was no significant association between sex and trusted sources of COVID-19 vaccine information. However, by age-group population, COVID-19 vaccine information was significantly associated with internet use (14.7% versus 85.3%; p = 0.02), information from family members (9.4% versus 90.6%; p < 0.01), and the Government/Ministry of Health (37.9% versus 62.1%; p < 0.01). Between healthcare workers and non-health workers, it was significantly associated with internet use (32.2% versus 67.8%; p = 0.03), healthcare providers (32.5% versus 67.5%; p < 0.018), the Government/Ministry of Health (31.1% versus 68.9%; p < 0.01), and scientific articles (44.7% versus 55.3%; p < 0.01).

conclusionThe most trusted sources of COVID-19 vaccine information in northern Uganda were Televisions, Radios, and Newspapers. The trusted sources of COVID-19 vaccine information were not significantly different between males and females. However, there were significant differences among age groups and occupations of participants with younger age groups (≤ 44 years) and non-healthcare workers having more trust in Televisions, Radios, and Newspapers. Thus, for effective management of an epidemic, there is a need for accurate communication so that misinformation, disinformation, and malinformation in the era of "infodemic" do not disrupt the flow of correct information to communities.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultCross-Sectional StudiesFemaleHumansInformation SourcesMaleMiddle AgedTrustUgandaVaccination HesitancyYoung AdultCOVID-19 VaccinesCOVID-19 vaccinesNorthern UgandaPandemicSourcesTrusted information

Identifiers

PMID38783293
PMCPMC11112838

What Socratic 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 Socratic graph.