Evidence map›Paper›PMID 35671317›Full record

ArticlePloS one2022

A mixed-methods study on health learning materials utilization for COVID-19 risk communication and community engagement among health workers in Arsi Zone, Ethiopia: Implication for response to pandemic.

Taye Debele, Firanbon Teshome, Demuma Amdisa, Girma Bacha, Zewdie Birhanu, Yohannes Kebede

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Taye DebeleArsi University Asella Teaching and Referral Hospital, Asella, Oromia, Ethiopia.
Firanbon TeshomeFaculty of Public Health, Department of Health, Behavior and Society, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-8822-8602
Demuma AmdisaFaculty of Public Health, Department of Health, Behavior and Society, Jimma University, Jimma, Ethiopia.
Girma BachaSchool of Nursing, Faculty of Health Science, Jimma University, Jimma, Ethiopia.
Zewdie BirhanuFaculty of Public Health, Department of Health, Behavior and Society, Jimma University, Jimma, Ethiopia.
Yohannes KebedeFaculty of Public Health, Department of Health, Behavior and Society, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk communication and community engagement are among the key strategies used in response to pandemics. Effective risk communication and community engagement can be achieved when assisted by health learning materials. However, their utilization was not known in Ethiopia. Therefore, the present study aimed to assess the utilization of COVID-19 health learning materials (HLMs), and explore barriers and facilitating factors.

methodsA sequential explanatory mixed-methods study consisting of two phases was carried out. The first phase was a cross-sectional survey to assess the utilization of COVID-19 HLMs and their predictors. In this phase, a multistage sampling technique was used to select 530 health workers. A self-administered structured questionnaire was used for data collection. Epi-data manager version 4.6.0.2 and STATA version 16 were used for data entry and analyses, respectively. Descriptive analyses were carried out as necessary. Ordinal logistic regression analyses were done to identify the predictors of COVID-19 HLMs utilization. Phase two is a qualitative study to explore enablers and barriers to COVID-19 HLMs utilization. A judgmental sampling technique was used and 14 key informants were recruited. The collected data were uploaded into Atlas ti version 7.0.71. An inductive process of thematic analysis was employed and the data were coded, categorized, and thematized.

resultsFindings showed that out of the total 530 respondents, 210(39.6%), 117(22.1%), and 203(38.3%) of them never use COVID-19 HLMs, use sometimes, and always, respectively. Health workers' perceived quality of COVID-19 HLMs [AOR = 6.44 (95% CI: 4.18-9.94)], health workers' perceived usefulness of COVID-19 HLMs [AOR = 2.82 (95% CI: 1.88-4.22)], working facility [AOR = 1.83 (95% CI: 1.07-3.14)], educational level of the respondents [AOR = 1.73 (95% CI: 1.11-2.72)] and availability of COVID-19 HLMs [AOR = 1.45(95% CI: 1.01-2.08)] had statistically significant association with the utilization status of COVID-19 HLMs. Findings from the qualitative study showed that materials-related factors, and structure and health workers-related factors had influence on HLMs utilization.

conclusionsIn this study, we found that only a few of the respondents were regularly utilizing COVID-19 HLMs. Perceived quality, usefulness, and availability of HLMs, and health workers' educational status and working facility determined the level of COVID-19 HLMs utilization. There is a need for giving due attention to HLMs, evaluating their quality, availing them to health facilities, and providing training for health workers.

Indexed as

COVID-19CommunicationCross-Sectional StudiesEthiopiaHumansPandemics

Identifiers

PMID35671317
PMCPMC9173612

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