Evidence map›Paper›PMID 33434378›Full record

ArticleJournal of clinical nursing2021

COVID-19: Knowledge, anxiety, academic concerns and preventative behaviours among Australian and Indian undergraduate nursing students: A cross-sectional study.

Terese Kochuvilayil, Ritin S Fernandez, Lorna J Moxham, Heidi Lord, Albara Alomari, Leanne Hunt, Rebekkah Middleton, Elizabeth J Halcomb

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of clinical nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 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 4 institutions in 2 countries.

Terese KochuvilayilPushpagiri College of Nursing, Thiruvalla, India.
Ritin S FernandezFaculty of Science, Medicine and Health, School of Nursing, University of Wollongong, Wollongong, NSW, Australia.ORCID https://orcid.org/0000-0002-6143-7703
Lorna J MoxhamFaculty of Science, Medicine and Health, School of Nursing, University of Wollongong, Wollongong, NSW, Australia.ORCID https://orcid.org/0000-0002-4127-6383
Heidi LordCentre for Research in Nursing and Health, St George Hospital, Kogarah, NSW, Australia.ORCID https://orcid.org/0000-0002-7908-3819
Albara AlomariSchool of Nursing and Midwifery, Western Sydney University, Liverpool, NSW, Australia.ORCID https://orcid.org/0000-0001-7693-4617
Leanne HuntSchool of Nursing and Midwifery, Western Sydney University, Liverpool, NSW, Australia.
Rebekkah MiddletonFaculty of Science, Medicine and Health, School of Nursing, University of Wollongong, Wollongong, NSW, Australia.ORCID https://orcid.org/0000-0002-8440-7451
Elizabeth J HalcombFaculty of Science, Medicine and Health, School of Nursing, University of Wollongong, Wollongong, NSW, Australia.ORCID https://orcid.org/0000-0001-8099-986X
University of Wollongong · AUWestern Sydney University · AUPushpagiri Medical College · INSt George Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS AND

objectivesTo compare knowledge, anxiety, academic concerns and preventative behaviours between undergraduate nursing students in Australia and India during the COVID-19 pandemic.

backgroundBased on the World Health Organization's direction for containment of the novel coronavirus (COVID-19), countries implemented varying levels of restrictions including closure of university campuses and providing on line undergraduate education.

methodsStudents in NSW, Australia and Kerala, India completed an online survey assessing their (a) knowledge and source of information about COVID-19; (b) anxiety; and coping strategies; (c) academic concerns; and (d) preventative behaviours. Descriptive and inferential statistics were used to summarise the data.

resultsData from 99 Australian and 113 Indian undergraduate nurses were analysed. Greater number of Indian students indicated having sufficient knowledge of COVID-19 (OR 0.22; 95% CI 0.08, 0.63), getting information about COVID-19 from social media (OR 0.03; 95% CI 0.01, 0.07) and being concerned about 'attending clinical placement' (MD-1.08; 95% CI -1.94, -0.23). Australian students reported significantly higher levels of anxiety (MD 1.99 95% CI 1.21, 2.78), difficulty sleeping (OR 18.00; 95% CI 6.76, 47.96), concentrating (OR 33.22; 95% CI 13.85, 79.67) and eating (OR 14.05; 95% CI 3.19, 61.84). Greater number of Australian students indicated that they would go to the University if they needed to meet with other students (OR 9.21; 95% CI 3.08, 27.55), had to access the library (OR 7.20; 95% CI 3.26, 15.90) or had a group assignment (OR 2.93; 95% CI 1.26, 6.77).

conclusionsWide variations were present in knowledge, anxiety, academic concerns and preventative behaviours among undergraduate nursing students in two countries. RELEVANCE TO CLINICAL PRACTICE: Undergraduate students may benefit from additional support from the University and staff in the clinical setting with online learning and resources in order to adjust to the 'new normal' and enable them to achieve academic success.

Indexed as

AnxietyCOVID-19Education, Nursing, BaccalaureateHealth Knowledge, Attitudes, PracticeStudents, NursingAustraliaCross-Sectional StudiesFemaleHumansIndiaMaleNursing Education ResearchSurveys and QuestionnairesYoung Adultacademic concernsanxietyclinical placementCOVID-19nursing educationpandemicstudent nurses

Identifiers

PMID33434378
PMCPMC8013450
OpenAlexW3121023412

What OpenQuestion holds

Textmetadata
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.