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Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this st...

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Autores principales: Eseyneh, Tenagnework, Wondiye, Habtamu, Fentaw, Zinabu, Eseyneh, Netsanet, Bogale, Eyob Ketema, Gutema, Hordofa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773474/
https://www.ncbi.nlm.nih.gov/pubmed/36550488
http://dx.doi.org/10.1186/s12889-022-14872-5
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author Eseyneh, Tenagnework
Wondiye, Habtamu
Fentaw, Zinabu
Eseyneh, Netsanet
Bogale, Eyob Ketema
Gutema, Hordofa
author_facet Eseyneh, Tenagnework
Wondiye, Habtamu
Fentaw, Zinabu
Eseyneh, Netsanet
Bogale, Eyob Ketema
Gutema, Hordofa
author_sort Eseyneh, Tenagnework
collection PubMed
description BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model.  METHODS: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). RESULTS: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67–7.46)], the number of people living together [AOR (95%CI) 2.62(1.28–5.39)], self-control [AOR (95%CI) 1.14(1.05–1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22–8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35–3.43)]. CONCLUSION: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit messages and should prepare printed materials. Activities and strategies should also focus on self-control and perceived efficacy without ignoring the perceived threat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14872-5.
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spelling pubmed-97734742022-12-22 Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model Eseyneh, Tenagnework Wondiye, Habtamu Fentaw, Zinabu Eseyneh, Netsanet Bogale, Eyob Ketema Gutema, Hordofa BMC Public Health Research BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model.  METHODS: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). RESULTS: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67–7.46)], the number of people living together [AOR (95%CI) 2.62(1.28–5.39)], self-control [AOR (95%CI) 1.14(1.05–1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22–8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35–3.43)]. CONCLUSION: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit messages and should prepare printed materials. Activities and strategies should also focus on self-control and perceived efficacy without ignoring the perceived threat. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14872-5. BioMed Central 2022-12-22 /pmc/articles/PMC9773474/ /pubmed/36550488 http://dx.doi.org/10.1186/s12889-022-14872-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Eseyneh, Tenagnework
Wondiye, Habtamu
Fentaw, Zinabu
Eseyneh, Netsanet
Bogale, Eyob Ketema
Gutema, Hordofa
Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title_full Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title_fullStr Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title_full_unstemmed Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title_short Behavioral responses for facemask use messages to prevent COVID-19 among residents of Bahir Dar City, Ethiopia: an application of extended parallel process model
title_sort behavioral responses for facemask use messages to prevent covid-19 among residents of bahir dar city, ethiopia: an application of extended parallel process model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773474/
https://www.ncbi.nlm.nih.gov/pubmed/36550488
http://dx.doi.org/10.1186/s12889-022-14872-5
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