Evidence map›Paper›PMID 38803268›Full record

ArticleBMJ open2024

Determinants of COVID-19 severity in Ethiopia: a multicentre case-control study.

Manayesh Bantie Tadie, Yimer Seid Yimer, Girma Taye

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2024. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Manayesh Bantie TadiePHEM, Ethiopian Public Health Institute, Addis Ababa, Ethiopia manye2116@gmail.com.ORCID 0009-0002-0162-247X
Yimer Seid YimerDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Girma TayeDepartment of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIt was necessary to understand the determinants of severe COVID-19 in order to deliver targeted healthcare services to prevent further complications and mortality. Identifying the factors associated with severe COVID-19 in Addis Ababa, Ethiopia, is the aim of this study.

designA case-control study was conducted from October 2021 to March 2022.

settingThe study was conducted at three public COVID-19 treatment centres including Ekka Kotebe General, St. Peter Hospital and St. Paul's Hospital.

participantsThe study participants were COVID-19 patients admitted to three COVID-19 treatment centres. Cases were patients admitted with severe COVID-19, and controls were patients with mild or moderate COVID-19. A total of 306 patients (153 cases and 153 controls) selected by simple random sampling technique participated in this study. OUTCOME MEASURES AND ANALYSIS: Data were collected by a face-to-face or telephone interviewer using a structured questionnaire. COVID-19 admission category, clinical and biomedical characteristics and comorbidity-related data were extracted from the participant's medical record. Multivariable binary logistic regression analysis was used to identify predictors of COVID-19 severity.

resultsThe odds of being old were 4.54 times higher among severe COVID-19 cases (adjusted odds ratio (AOR)=4.54, 95% CI=2.499 to 8.24), the odds of being male were 2.72 times higher among severe COVID-19 cases (AOR=2.72, 95% CI=1.46 to 5.057), being vaccinated for COVID-19 decreases the severity by 55.1% (AOR=0.449, 95% CI=0.251 to 0.801), having good knowledge about COVID-19 decreases by 65% (AOR=0.35%, 95% CI=0.195 to 0.63) among patients with severe COVID-19, the odds of being diabetic were 10.2 times higher among severe COVID-19 cases (AOR=10.2, 95% CI=4.596 to 22.61) and the odds of being hypertensive were 2.3 times higher among severe COVID-19 cases (AOR=2.26, 95% CI=1.092 to 4.685).

conclusionMale, older age, diabetes or hypertension comorbidity, COVID-19 vaccination and having inadequate knowledge about COVID-19 were determinant factors of severe COVID-19.

Indexed as

COVID-19SARS-CoV-2Severity of Illness IndexAdultAgedAge FactorsCase-Control StudiesComorbidityEthiopiaFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsYoung AdultCOVID-19epidemiologypublic health

Identifiers

PMID38803268
PMCPMC11328661

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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.