Evidence map›Paper›PMID 34756383›Full record

ArticleNursing outlook2020

Knowledge and information credibility evaluation strategies regarding COVID-19: A cross-sectional study.

Anat Amit Aharon, Angela Ruban, Ilana Dubovi

Abstract read
In one paragraph

Article in Nursing outlook, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 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

3 authors.

Anat Amit AharonSackler Faculty of Medicine, Nursing Department, Tel Aviv University, Tel Aviv, Israel.
Angela RubanSackler Faculty of Medicine, Nursing Department, Tel Aviv University, Tel Aviv, Israel; Sackler Faculty of Medicine, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Ilana DuboviSackler Faculty of Medicine, Nursing Department, Tel Aviv University, Tel Aviv, Israel. Electronic address: ilanadubovi@tauex.tau.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus disease (COVID-19) pandemic has not only caused significant challenges for health systems worldwide, but also fueled a surge in misinformation. Nurses as frontline health care providers should be equipped with the most accurate information on COVID-19. PURPOSE: This study examines nurses' knowledge and strategies of information credibility sourcing.

methodA cross-sectional survey among nurses and laypersons with no health care background. The questionnaire dealt with knowledge and ability assess credibility of COVID-19 information.

findingsNurses' knowledge of COVID-19 preventative behaviors was significantly higher than that of laypersons; however, there was no difference in science-based knowledge of COVID-19. In contrast to laypersons, nurses in this study were better able to discern the credibility of health-related information about COVID-19 than laypersons. Yet they rarely used scientific criteria in evaluating conflicting information. DISCUSSION: Given the importance of assessing the credibility of information, both information literacy skills and science-based knowledge about COVID-19 should be offered.

Indexed as

COVID-19Credibility evaluationEpistemic thinkingMisinformationScience-based knowledgeSourcingTrustworthiness

Identifiers

PMID34756383
PMCPMC7494280

What OpenQuestion holds

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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.