Evidence map›Paper›PMID 34444322›Full record

ArticleInternational journal of environmental research and public health2021

Psychological Impact of the COVID-19 Pandemic on Licensed Full-Time Practicing Nurses Undertaking Part-Time Studies in Higher Education: A Cross-Sectional Study.

Siu-Ling Chan, Naomi Takemura, Pui-Hing Chau, Chia-Chin Lin, Man-Ping Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Siu-Ling ChanSchool of Nursing, The University of Hong Kong, Hong Kong 999077, China.
Naomi TakemuraSchool of Nursing, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-2950-5251
Pui-Hing ChauSchool of Nursing, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-0287-8020
Chia-Chin LinSchool of Nursing, The University of Hong Kong, Hong Kong 999077, China.
Man-Ping WangSchool of Nursing, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-4000-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frontline nurses face an unpreceded situation with the coronavirus disease (COVID-19) pandemic, and many report suffering from physical and psychological stress. This online, cross-sectional survey used questionnaires, such as the Generalized Anxiety Disorder (GAD-7) questionnaire, the Patient Health Questionnaire (PHQ-2), the Connor-Davidson Resilience Scale, stress-related questions, and Brief Coping Orientation to Problems Experienced (Brief-COPE), to determine the psychological impact of COVID-19 on licensed full-time practicing nurses undertaking part-time studies in higher education. Recruitment commenced from August to September 2020; 385 students were approached, and 124 completed the survey (response rate: 32%). Most of the respondents were frontline nurses working in public sectors (89.5%), 29% of whom reported symptoms of depression, and 61.3% reported mild to severe levels of anxiety. The GAD-7 was significantly associated with the resilience score (β = -0.188;

Indexed as

COVID-19NursesAnxietyCross-Sectional StudiesDepressionHumansPandemicsSARS-CoV-2Stress, PsychologicalTime and Motion Studiesbrief-COPECD-RISC-10COVID-19 pandemicGAD-7licensed full-time practicing nursesmindfulnesspart-time studies in higher educationPHQ-2resiliencestress-related questions

Identifiers

PMID34444322
PMCPMC8391214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.