Evidence map›Paper›PMID 35978417›Full record

ArticleJournal of pharmaceutical policy and practice2022

An analysis of COVID-19 information sources.

Belachew Umeta, Temesgen Mulugeta, Girma Mamo, Sintayehu Alemu, Nimona Berhanu, Gudina Milkessa, Birhanu Mengistu, Tsegaye Melaku

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.9field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

8 authors at 1 institution in 1 country.

Belachew Umeta *School of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia. belachew.umeta@ju.edu.et.ORCID http://orcid.org/0000-0002-8420-2253
Temesgen Mulugeta *School of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0002-9372-976X
Girma MamoSchool of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0002-1757-8250
Sintayehu AlemuSchool of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0003-1520-0155
Nimona BerhanuSchool of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0001-5223-3939
Gudina MilkessaDepartment of Ophthalmology, School of Medicine, Institute of Health, Jimma University, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0002-8531-7917
Birhanu MengistuDepartment of Anesthesia, Institute of Health, Jimma University, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0003-3953-1602
Tsegaye MelakuSchool of Pharmacy, Institute of Health, Jimma University, P.O. Box: 378, Jimma, Oromia, Ethiopia.ORCID http://orcid.org/0000-0001-8373-5309
Jimma University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has brought new situations that require the effective delivery of health information across the world and it's important to offer clear, consistent, and credible information on the pandemic to mitigate and control the outbreak.

aimTo assess COVID-19 information source, need and trust among the rural community of southwest Ethiopia.

methodsA community-based cross-sectional study design was conducted among 634 rural communities of southwest Ethiopia. The data were collected by interviewing individuals from selected households and analyzed by SPSS version 26. A multivariable logistic regression model was used to assess factors affecting information needs.

resultsRadio 484 (76.3%) was mostly used as a source of information for COVID-19, and government 404 (63.7%) and health professionals 345 (57.7%) were trusted. However, only 10 (1.6%) of the participants acquired information from health professionals. Around 395 (62.3%) of the participants needed additional information on COVID-19. Around 230 (58.2%) and 186 (47.1%) of the participants required additional information on cause and sign and symptoms, respectively. Age of < 45 years old (AOR: 2.11, 95% CI: 1.43, 3.12, P < 0.001), and absence of formal education (AOR: 2.00, 95% CI: 1.35, 2.95, P: 0.001) were factors positively affecting the information needs of the participants on COVID-19. Church goers (AOR: 3.24; 95% CI: 2.03, 5.19; P < 0.001), television (AOR: 2.39; 95% CI: 1.63, 3.49; P < 0.001) and social media users (AOR: 4.52; 95% CI: 2.26, 9.04; P < 0.001) as source of information required additional information on COVID-19, and the participants that trusted social media (AOR: 2.52; 95% CI: 1.64, 3.87; P < 0.001) and friends/relatives (AOR: 2.95: 95% CI: 1.51, 5.76; P < 0.001) were also required additional information on COVID-19.

conclusionsThe popular sources of COVID-19-related information were radio and television. The participants trusted the government and health professionals on COVID-19. However, less than 2% of the participants had information from health professionals. The majority of the participants wanted to learn more about COVID-19. The areas the participants required additional information include cause and signs and symptoms. Age, educational status, trust in social media, trust in friends, using the church, television and social media as a source were factors associated with information needs.

Indexed as

COVID-19COVID-19 information gapsCOVID-19 information sourceCOVID-19 information trust

Identifiers

PMID35978417
PMCPMC9383678
OpenAlexW4292264720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.