Cargando…

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these s...

Descripción completa

Detalles Bibliográficos
Autores principales: Erinoso, Olufemi, Wright, Kikelomo Ololade, Anya, Samuel, Kuyinu, Yetunde, Abdur-Razzaq, Hussein, Adewuya, Abiodun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837450/
https://www.ncbi.nlm.nih.gov/pubmed/33428580
http://dx.doi.org/10.2196/22273
_version_ 1783642957626212352
author Erinoso, Olufemi
Wright, Kikelomo Ololade
Anya, Samuel
Kuyinu, Yetunde
Abdur-Razzaq, Hussein
Adewuya, Abiodun
author_facet Erinoso, Olufemi
Wright, Kikelomo Ololade
Anya, Samuel
Kuyinu, Yetunde
Abdur-Razzaq, Hussein
Adewuya, Abiodun
author_sort Erinoso, Olufemi
collection PubMed
description BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these sources. METHODS: We conducted an online survey of consenting adults residing in Nigeria between April and May 2020 during the lockdown and first wave of COVID-19. The major sources of information about COVID-19 were distilled from 7 potential sources (family and friends, places of worship, health care providers, internet, workplace, traditional media, and public posters/banners). An open-ended question was asked to explore how respondents determined accuracy of information. Statistical analysis was conducted using STATA 15.0 software (StataCorp Texas) with significance placed at P<.05. Approval to conduct this study was obtained from the Lagos State University Teaching Hospital Health Research Ethics Committee. RESULTS: A total of 719 respondents completed the survey. Most respondents (n=642, 89.3%) obtained COVID-19–related information from the internet. The majority (n=617, 85.8%) considered their source(s) of information to be accurate, and 32.6% (n=234) depended on only 1 out of the 7 potential sources of COVID-19 information. Respondents earning a monthly income between NGN 70,000-120,000 had lower odds of obtaining COVID-19 information from the internet compared to respondents earning less than NGN 20,000 (odds ratio [OR] 0.49, 95% CI 0.24-0.98). In addition, a significant proportion of respondents sought accurate information from recognized health organizations, such as the Nigeria Centre for Disease Control and the World Health Organization. CONCLUSIONS: The internet was the most common source of COVID-19 information, and the population sampled had a relatively high level of perceived accuracy for the COVID-19 information received. Effective communication requires dissemination of information via credible communication channels, as identified from this study. This can be potentially beneficial for risk communication to control the pandemic.
format Online
Article
Text
id pubmed-7837450
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-78374502021-01-29 Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study Erinoso, Olufemi Wright, Kikelomo Ololade Anya, Samuel Kuyinu, Yetunde Abdur-Razzaq, Hussein Adewuya, Abiodun JMIR Public Health Surveill Original Paper BACKGROUND: Effective communication is critical for mitigating the public health risks associated with the COVID-19 pandemic. OBJECTIVE: This study assesses the source(s) of COVID-19 information among people in Nigeria, as well as the predictors and the perceived accuracy of information from these sources. METHODS: We conducted an online survey of consenting adults residing in Nigeria between April and May 2020 during the lockdown and first wave of COVID-19. The major sources of information about COVID-19 were distilled from 7 potential sources (family and friends, places of worship, health care providers, internet, workplace, traditional media, and public posters/banners). An open-ended question was asked to explore how respondents determined accuracy of information. Statistical analysis was conducted using STATA 15.0 software (StataCorp Texas) with significance placed at P<.05. Approval to conduct this study was obtained from the Lagos State University Teaching Hospital Health Research Ethics Committee. RESULTS: A total of 719 respondents completed the survey. Most respondents (n=642, 89.3%) obtained COVID-19–related information from the internet. The majority (n=617, 85.8%) considered their source(s) of information to be accurate, and 32.6% (n=234) depended on only 1 out of the 7 potential sources of COVID-19 information. Respondents earning a monthly income between NGN 70,000-120,000 had lower odds of obtaining COVID-19 information from the internet compared to respondents earning less than NGN 20,000 (odds ratio [OR] 0.49, 95% CI 0.24-0.98). In addition, a significant proportion of respondents sought accurate information from recognized health organizations, such as the Nigeria Centre for Disease Control and the World Health Organization. CONCLUSIONS: The internet was the most common source of COVID-19 information, and the population sampled had a relatively high level of perceived accuracy for the COVID-19 information received. Effective communication requires dissemination of information via credible communication channels, as identified from this study. This can be potentially beneficial for risk communication to control the pandemic. JMIR Publications 2021-01-25 /pmc/articles/PMC7837450/ /pubmed/33428580 http://dx.doi.org/10.2196/22273 Text en ©Olufemi Erinoso, Kikelomo Ololade Wright, Samuel Anya, Yetunde Kuyinu, Hussein Abdur-Razzaq, Abiodun Adewuya. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 25.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Erinoso, Olufemi
Wright, Kikelomo Ololade
Anya, Samuel
Kuyinu, Yetunde
Abdur-Razzaq, Hussein
Adewuya, Abiodun
Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title_full Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title_fullStr Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title_full_unstemmed Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title_short Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
title_sort predictors of covid-19 information sources and their perceived accuracy in nigeria: online cross-sectional study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837450/
https://www.ncbi.nlm.nih.gov/pubmed/33428580
http://dx.doi.org/10.2196/22273
work_keys_str_mv AT erinosoolufemi predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy
AT wrightkikelomoololade predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy
AT anyasamuel predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy
AT kuyinuyetunde predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy
AT abdurrazzaqhussein predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy
AT adewuyaabiodun predictorsofcovid19informationsourcesandtheirperceivedaccuracyinnigeriaonlinecrosssectionalstudy