Evidence map›Paper›PMID 35382797›Full record

ArticleBMC public health2022

Differences in digital health literacy and future anxiety between health care and other university students in England during the COVID-19 pandemic.

Daniel Frings, Susie Sykes, Adeola Ojo, Gillian Rowlands, Andrew Trasolini, Kevin Dadaczynski, Orkan Okan, Jane Wills

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 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

8 authors.

Daniel FringsSchool of Applied Sciences, London South Bank University, 101 London Road, London, SE1 0AA, UK. fringsd@lsbu.ac.uk.
Susie SykesInstitute of Health and Social Care, London South Bank University, 101 London Road, London, SE1 0AA, UK.
Adeola OjoPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4BN, UK.
Gillian RowlandsPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4BN, UK.
Andrew TrasoliniInstitute of Health and Social Care, London South Bank University, 101 London Road, London, SE1 0AA, UK.
Kevin DadaczynskiDepartment of Nursing and Health Science, Fulda University of Applied Sciences, Leipziger Straße 123, 36037, Fulda, Germany.
Orkan OkanDepartment of Sport and Health Sciences, Technical University Munich, Germany, Uptown München-Campus D, Georg-Brauchle-Ring 60/62, 80992, Munich, Germany.
Jane WillsInstitute of Health and Social Care, London South Bank University, 101 London Road, London, SE1 0AA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates university students' digital health literacy and web-based information-seeking behaviours during the early stages of the COVID-19 pandemic in England. It compares undergraduate and postgraduate students in non-health related subjects with health care students, many of whom were preparing for, or working in, frontline roles. The survey was conducted as part of a wider study by the COVID-HL research consortium.

methodsA cross-sectional study was conducted among n = 691 university students aged ≥18 years from 25 universities across England using an adapted digital survey developed by COVID-HL. Data were collected regarding sociodemographic characteristics and specific measures drawn from the Future Anxiety Scale and the Digital Health Literacy Instrument (DHLI). These had been adapted for use in an English setting and to the specific context of the COVID-19 pandemic. Other data collected included students' anxiety or worries about the future using the Dark Future Scale as well as behaviours in online information-seeking. Data were analysed using correlations to test for relationships between constructs and also between group comparisons to test for differences between students studying health and non-health related subjects.

resultsAcross digital health literacy dimensions, there was no significant difference between students studying health-related subjects and other students. Health care students did report greater difficulties in relation to how to behave online. They also relied less on public body sources for information about the pandemic. A significant difference was found between the two student populations in relation to their anxiety about the future with health care students reporting fewer fears about the future.

conclusionsAlthough digital health literacy is well developed in university students, a significant proportion of students still face difficulties with evaluating online information which may frustrate public health efforts. This could be addressed by ensuring health students' curriculum in particular encompasses digital health literacy.

Indexed as

COVID-19Health LiteracyAdolescentAdultAnxietyCross-Sectional StudiesDelivery of Health CareHumansPandemicsReproducibility of ResultsStudentsSurveys and QuestionnairesUniversitiesCoronavirusCOVID-19Digital healthHealth informationHealth literacyInfodemicStudentUniversity student

Identifiers

PMID35382797
PMCPMC8982905

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.