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


Journal

BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682

Informations de publication

Date de publication:
23 May 2024
Historique:
received: 12 10 2023
accepted: 16 05 2024
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 23 5 2024
Statut: epublish

Résumé

The 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. We 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). In 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). The 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.

Sections du résumé

BACKGROUND BACKGROUND
The 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.
METHODS METHODS
We 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).
RESULTS RESULTS
In 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).
CONCLUSION CONCLUSIONS
The 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.

Identifiants

pubmed: 38783293
doi: 10.1186/s12911-024-02536-w
pii: 10.1186/s12911-024-02536-w
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

132

Informations de copyright

© 2024. The Author(s).

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Auteurs

Johnson Nyeko Oloya (J)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Moroto Regional Referral Hospital, Moroto district, Mbale City, Uganda.

Nelson Onira Alema (N)

Faculty of Medicine, Department of Anatomy, Gulu University, Gulu City, Uganda.

Christopher Okot (C)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Gulu Regional Referral Hospital, Gulu City, Uganda.

Emmanuel Olal (E)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Yotkom Medical Centre, Kitgum, Gulu City, Uganda.

Eric Nzirakaindi Ikoona (E)

ICAP at Columbia University, Freetown, Sierra Leone.

Freddy Wathum Drinkwater Oyat (F)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.

Baguma Steven (B)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Gulu Regional Referral Hospital, Gulu City, Uganda.

Denish Omoya Ochula (D)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
District Health Office, Lamwo local government, Lamwo district, Gulu City, Uganda.

Patrick Odong Olwedo (P)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
District Health Office, Amuru local government, Amuru district, Gulu City, Uganda.

Francis Pebalo Pebolo (F)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Faculty of Medicine, Department of Reproductive Health, Gulu University, Gulu City, Uganda.

Pamela Okot Atim (P)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
St. Joseph's Hospital, Kitgum district, Gulu City, Uganda.

Godfrey Smart Okot (G)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Dr. Ambrosoli Memorial HospitalKalongo, Agago district, Gulu City, Uganda.

Ritah Nantale (R)

Faculty of Health Sciences, Department of Public Health, Busitema University, Mbale City, Uganda.

Judith Aloyo (J)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda.
Rhites-N, Acholi, Gulu City, Uganda.

David Lagoro Kitara (D)

Uganda Medical Association (UMA), UMA-Acholi branch, Gulu City, Uganda. klagoro2@gmail.com.
Gulu Centre for Advanced Medical Diagnostics, Research, Trainings, and Innovations (GRUDI BIONTECH INITIATIVE), Gulu City, Uganda. klagoro2@gmail.com.
Faculty of Medicine, Department of Surgery, Gulu University, Gulu City, Uganda. klagoro2@gmail.com.

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