Evidence map›Paper›PMID 32612371›Full record

ArticleInfection and drug resistance2020

Knowledge, Attitude and Practice Towards COVID-19 Among Chronic Disease Patients at Addis Zemen Hospital, Northwest Ethiopia.

Yonas Akalu, Birhanu Ayelign, Meseret Derbew Molla

Abstract read
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Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
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183citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

183 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yonas AkaluDepartment of Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-0914-7768
Birhanu AyelignDepartment of Immunology and Molecular Biology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-9157-3637
Meseret Derbew MollaDepartment of Biochemistry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-2622-522X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe recent outbreak of coronavirus disease 2019 (COVID-19) is the worst global crisis after the Second World War. Since no successful treatment and vaccine have been reported, efforts to enhance the knowledge, attitudes, and practice of the public, especially the high-risk groups, are critical to manage COVID-19 pandemic. Thus, this study aimed to assess knowledge, attitude, and practice towards COVID-19 among patients with chronic disease. PATIENTS AND

methodsA cross-sectional study was conducted among 404 chronic disease patients from March 02 to April 10, 2020, at Addis Zemen Hospital, Northwest Ethiopia. Both bivariable and multivariable logistic regression analyses with a 95% confidence interval were fitted to identify factors associated with poor knowledge and practice towards COVID-19. The adjusted odds ratio (AOR) was used to determine the magnitude of the association between the outcome and independent variables. P-value <0.05 was considered statistically significant.

resultsThe mean age of the participants was 56.5±13.5. The prevalence of poor knowledge and poor practice was 33.9% and 47.3%, respectively. Forty-one percent of the participants perceived that avoiding of attending a crowded population is very difficult. Age (AOR=1.05, (95% CI (1.01-1.08)), educational status of "can't read and write" (AOR=7.1, 95% CI (1.58-31.93)), rural residence (AOR=19.0, 95% CI (6.87-52.66)) and monthly income (AOR=0.8, 95% CI (0.79-0.89)) were significantly associated with poor knowledge. Being unmarried (AOR=3.9, 95% CI (1.47-10.58)), cannot read and write (AOR=2.7, 95% CI (1.03-7.29)), can read and write (AOR=3.5, 95% CI (1.48-8.38)), rural residence (AOR=2.7, 95% CI (1.09-6.70)), income of <7252 Ethiopian birr (AOR=2.3, 95% CI (1.20-4.15)) and poor knowledge (AOR=8.6, 95% CI (3.81-19.45)) were significantly associated with poor practice.

conclusionThe prevalence of poor knowledge and poor practice was high. Leaflets prepared in local languages should be administered and health professionals should provide detailed information about COVID-19 to their patients.

Indexed as

attitudechronic disease patientsCOVID-19Ethiopiaknowledgepractice

Identifiers

PMID32612371
PMCPMC7322118

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LicenceCC BY-NC
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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.