Evidence map›Paper›PMID 35847528›Full record

ArticleDigital health

Use of social media for COVID-19-related information and associated factors among health professionals in Northwest Ethiopia: A cross-sectional study.

Masresha Derese Tegegne, Berhanu Fikadie Endehabtu, Jorn Klein, Monika Knudsen Gullslett, Tesfahun Melese Yilma

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Masresha Derese TegegneDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-3156-3936
Berhanu Fikadie EndehabtuDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Jorn KleinFaculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway.
Monika Knudsen GullslettFaculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway.
Tesfahun Melese YilmaDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media has become an alternative platform for communication during medical crises like the COVID-19 pandemic. This study aimed to assess social media usage for COVID-19-related information among health professionals. Method: A quantitative cross-sectional study design was conducted among 370 health professionals. The data were analyzed using SPSS version 25 software. Data were collected using a semi-structured, self-administered, and pre-tested questionnaire. Descriptive and binary logistic regression analysis techniques were used to describe respondents' social media usage for COVID-19 information and identify its associated factors. Results: About 54% (95% CI: 48-58%) of the participants had good social media usage for COVID-19-related information. Age≤30 (AOR = 2.02, 95% CI: 1.14-3.58), Wi-Fi/broadband Internet access (AOR = 2.45, 95% CI: 1.38-4.33), taking computer training (AOR = 2.58, 95% CI: 1.37-4.85), basic computer skill (AOR = 3.28, 95% CI: 1.71-6.29), and usefulness of social media (AOR = 3.56, 95% CI: 1.57-8.04) were found to be the significant factors associated with usage of social media for COVID-19-related information. Conclusion: The present study confirms that more than half of health professionals had good social media usage for COVID-19-related information. This shows that social media platforms can be used as a source of COVID-19-related information for health professionals if basic computer training is offered, internet connection is available in the workplace, and the usefulness of social media is emphasized.

Indexed as

COVID-19Ethiopiahealth informationhealth professionalsSocial media usage

Identifiers

PMID35847528
PMCPMC9277436

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Registered trials

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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.