Evidence map›Paper›PMID 36606238›Full record

ArticleGlobal mental health (Cambridge, England)2022

The psychological outcomes of COVID-19 affected the pandemic-after risk perceptions of nurse clinicians: a latent profile analysis.

Yin Qianlan, Hou Tianya, Li Wei, Gao Jia, Ni Chunyan, Zhao Wei, Lian Bin, Li Huifen, Dong Wei, Deng Guanghui and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global mental health (Cambridge, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 10 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

11 authors at 2 institutions in 1 country.

Yin QianlanDepartment of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0001-8621-5392
Hou TianyaDepartment of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, China.
Li WeiSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Gao JiaChangshu Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Changshu, China.
Ni ChunyanSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Zhao WeiSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Lian BinSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Li HuifenSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Dong WeiDepartment of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, China.
Deng GuanghuiDepartment of Naval Aviation & Operational Psychology, Navy Medical University, Shanghai, China.
Jia YanSuzhou Science & Technology Town Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Suzhou University of Science and Technology · CNChangshu No.1 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risk perception among nurses after the COVID-19 pandemic is a crucial factor affecting their attitudes and willingness to work in clinics. Those with poor psychological status could perceive risks sensitively as fears or threats that are discouraging. This article aimed to determine whether psychological outcomes, including post-traumatic stress disorder (PTSD), depression, anxiety, and insomnia, following the COVID-19 pandemic were differentially related to the risk perceptions of nurses working in clinics and increased perceived risk. Method: The participants were 668 nurse clinicians from five local hospitals. Risk perceptions and psychological outcomes were measured by adapted questionnaires via the Internet. Latent profile analysis (LPA) identified subgroups of individuals who showed similar profiles regarding the perceived risks in nursing. Multinomial regression and probit regression were used to examine the extent to which sociodemographic and psychological outcomes predicted class membership. Results: LPA revealed four classes: groups with low-, mild-, moderate-, and high-level risk perceptions. Membership of the high-level risk perception class was predicted by the severity of psychological outcomes. Anxiety significantly accounted for a moderate increase in risk perceptions, while the symptoms of insomnia, depression, and PTSD accelerated the increase to the high level of risk perception class. Conclusions: By classifying groups of nurse clinicians sharing similar profiles regarding risk perceptions and then exploring associated predictors, this study shows the psychological outcomes after COVID-19 significantly impacted pandemic-associated risk perceptions and suggests intervening in nurses' psychological outcomes while simultaneously focusing on work-related worries is important following the outbreak of COVID-19.

Indexed as

COVID-19 pandemiclatent profile analysisnurse clinicianspsychological outcomesrisk perceptions

Identifiers

PMID36606238
PMCPMC8943222
OpenAlexW4220886342

What OpenQuestion holds

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LicenceCC BY
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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.