Evidence map›Paper›PMID 36714071›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2023

Disparities in COVID-19 related health literacy, knowledge, and the assessment of the measures taken in Germany: a cross-sectional study.

Lisa Schmidt, Nina-Alexandra Götz, Niels Hannemann, Birgit Babitsch

Abstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

4 authors.

Lisa SchmidtDepartment of New Public Health, Osnabrück University, Nelson-Mandela-Straße 13, D-49076 Osnabrück, Germany.ORCID 0000-0001-6063-3983
Nina-Alexandra GötzOsnabrück University of Applied Sciences, Albert-Einstein-Str. 1, D-49076 Osnabrück, Germany.
Niels HannemannDepartment of New Public Health, Osnabrück University, Nelson-Mandela-Straße 13, D-49076 Osnabrück, Germany.
Birgit BabitschDepartment of New Public Health, Osnabrück University, Nelson-Mandela-Straße 13, D-49076 Osnabrück, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Health literacy is necessary to access, understand, assess, and apply information on COVID-19. Studies have shown that health literacy is unequally distributed across social groups. This study aimed to analyze the differences in COVID-19-related health literacy (hereinafter referred to as "COV-19-HL"), knowledge about COVID-19, and the assessment of the measures taken regarding the sociodemographic characteristics as well as the influence of COV-19-HL on knowledge and assessments. Subject and methods: The study used the data obtained from the cross-sectional online survey "Digital divide in relation to health literacy during the COVID-19 pandemic." The data covers 1570 participants aged ≥18 years in Germany between April 29, 2020 and May 8, 2020. To analyze the differences by way of sociodemographic variables, t-tests and analyses of variance were carried out. Multivariate logistic regression models were used to determine the effect of COV-19-HL on knowledge and the assessment of measures. Results: The overall COV-19-HL was high with an average value of 37.4 (with 50 representing the highest COV-19-HL). COV-19-HL and knowledge about COVID-19 were slightly lower in men, migrants, people with low subjective social status, and with low education. Government requirements and recommendations were rated as more effective by women, older people, and individuals with a chronic illness. The chance of better knowledge about COVID-19 and rating measures as effective increased with higher COV-19-HL. Conclusion: The findings of this study show that COV-19-HL and knowledge about the virus are unequally distributed in Germany. Health communication should strengthen pandemic-related health literacy that is tailored to specific target groups.

Indexed as

COVID-19Health literacySARS-CoV-2Social inequality

Identifiers

PMID36714071
PMCPMC9862214

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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.