Evidence map›Paper›PMID 36225789›Full record

ArticleFrontiers in public health2022

Assessment of COVID-19 prevention practice and associated factors in Jimma town, Ethiopia: A mixed study.

Deriba Bedane, Daba Abdissa, Bati Leta, Urge Gerema, Abraham Lomboro, Guta Kune, Abiru Neme, Kumsa Kene, Nimona Berhanu, Abebe Dukessa Dubiwak and 1 more

Open access · goldAbstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Deriba BedaneDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Daba AbdissaDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Bati LetaDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Urge GeremaDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Abraham LomboroDepartment of Epidemiology, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Guta KuneDepartment of Epidemiology, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Abiru NemeSchool of Nursing, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Kumsa KeneDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Nimona BerhanuSchool of Pharmacy, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Abebe Dukessa DubiwakDepartment of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Kasahun Girma TarekeDepartment of Health, Behavior and Society, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Jimma University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has affected the mental and physical wellbeing, social structure, countries' economy as well as individuals and community resilience, trust, and inequalities among societies. However, now almost all of the activities have been returned to the pre-corona era, despite the emergence of new strains and the spread of the disease. Hence, this study was conducted to assess COVID-19 prevention practice and the associated factors. Materials and methods: A community-based cross-sectional study triangulated with the qualitative findings was conducted in Jimma town, Oromia, Ethiopia. A total of 422 sample households were involved in the quantitative study. The quantitative data were collected using a structured questionnaire and 12 key informants were also interviewed for the qualitative part. The quantitative data were processed and entered into the Epi Data version 4.6 (software) and analyzed using SPSS 26.0. Similarly, the qualitative data were analyzed using ATLASti.7.1.04 software package. Descriptive statistics and binary logistics regression ( Results: Interviews were conducted with a total of 422 participants, yielding a response rate of 100%. Good preventive practices were found to be adopted by 13.3% of the respondents. People aged ≥ 50 years, [AOR = 2.85, 95%, CI = 1.246-0.53] who recovered from COVID-19, [AOR = 2.41, 95%, CI = 1.184-0.92], had chronic diseases [AOR = 3.70, 95%, CI = 1.887-0.25], and living with COVID-19 high risk [AOR = 2.96, 95%, CI = 1.475-0.991 were independently associated with good preventive practices. Conclusion: In this study, it was understood that there were poor COVID-19 preventive practices among the study participants. There was a disparity in adherence to the preventive practices in relation to (i.e., 50 and above years) the experience of contracting COVID-19 and people aged above 65 years old living with the high-risk group. In addition, the community had different misconceptions or risk perceptions related to COVID-19 infection and preventive practices. This highlights the need to design health education programs and implement risk and/or social and behavior change communication interventions to change perceptions or misconceptions of people or community members to bring about the desired behavioral change and prevent the spread of COVID-19.

Indexed as

COVID-19AgedCross-Sectional StudiesEthiopiaHealth EducationHealth Knowledge, Attitudes, PracticeHumansCOVID-19EthiopiaJimmapandemic fatigueprevention practice

Identifiers

PMID36225789
PMCPMC9550220
OpenAlexW4297237703

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.