Evidence map›Paper›PMID 36550488›Full record

ArticleBMC public health2022

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

Tenagnework Eseyneh, Habtamu Wondiye, Zinabu Fentaw, Netsanet Eseyneh, Eyob Ketema Bogale, Hordofa Gutema

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Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Tenagnework EseynehDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia. tenagneworke1@gmail.com.
Habtamu WondiyeDepartment of Health Promotion and Behavioral Sciences, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Zinabu FentawDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Netsanet EseynehFelege Hiwot Comprehensive Specialized Hospital, Bahir Dar, Amhara, Ethiopia.
Eyob Ketema BogaleDepartment of Health Promotion and Behavioral Sciences, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Hordofa GutemaDepartment of Health, Behavior and Society, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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. 

methodsA 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).

resultsA 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)].

conclusionAbove 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.

Indexed as

COVID-19MasksCross-Sectional StudiesEthiopiaHumansSurveys and QuestionnairesBahir DarBehavioral responseCOVID-19EthiopiaExtended Parallel Process ModelFacemaskMessages

Identifiers

PMID36550488
PMCPMC9773474

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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.