Evidence map›Paper›PMID 37558438›Full record

ArticleBMJ open2023

COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students.

Majd T Mrayyan, Ja'far M Alkhawaldeh, Imad Alfayoumi, Abdullah Algunmeeyn, Hamzeh Y Abunab, W A Suliman, Mohammad Abu Hasheesh, Raed Shudifat

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Majd T MrayyanDepartment of Community and Mental Health Nursing, Faculty of Nursing, The Hashemite University, Zarqa, Jordan mmrayyan@hu.edu.jo.ORCID 0000-0001-8401-4976
Ja'far M AlkhawaldehAdvanced Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.
Imad AlfayoumiBasic Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.
Abdullah AlgunmeeynAdvanced Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.ORCID 0000-0002-6393-3022
Hamzeh Y AbunabBasic Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.
W A SulimanAdvanced Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.
Mohammad Abu HasheeshBasic Nursing Department, Faculty of Nursing, Isra University, Amman, Jordan.
Raed ShudifatDepartment of Adult Health Nursing, Mu'tah University College of Nursing, Mu'tah, Jordan.
Isra University · JOHashemite University · JOMutah University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study assessed COVID-19 era-related e-learning cyberchondria, internet addiction and anxiety-related symptomatology among nursing students. The relationships, predictors and differences between the studied concepts were measured.

designIn 2021, a quantitative cross-sectional research design using a web survey with a sample size of 333 nursing students yielded a response rate of 70%.

resultsNursing students had a moderate level of cyberchondria, low to moderate internet addiction, a moderate to severe level of anxiety and depression, and a normal stress level. Demographic characteristics, cyberchondria, internet addiction and anxiety-related symptomatology were significantly correlated. Grade point average, age, type of organisation where the students were trained and level of education were significant predictors of the studied variables. Significant differences in the studied concepts were found based on the sample's characteristics such as gender, type of organisations or universities where the students were trained or studied, and age.

conclusionCyberchondria, internet addiction, depression, anxiety and stress symptomatology are troublesome. Higher education organisations might benefit from examining the variables of interest and investigating the relations between internet addiction and depression and anxiety symptomatology among nursing students. Such research will aid in tailoring treatments to assist vulnerable students by targeting counselling and educational efforts toward building a future generation of nurses with reduced cyberchondria, internet addiction and anxiety-related symptomatology.

Indexed as

Computer-Assisted InstructionCOVID-19Students, NursingAnxietyCross-Sectional StudiesHumansInternetInternet Addiction DisorderUniversitiesCOVID-19medical education & trainingstatistics & research methods

Identifiers

PMID37558438
PMCPMC10414090
OpenAlexW4385700726

What OpenQuestion holds

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LicenceCC BY-NC
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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.