Evidence map›Paper›PMID 37209017›Full record

ArticleNursing open2023

Risk perception in the era of COVID-19 and related factors among nurses: A cross-sectional study.

Lishuang Zhao, Hui Huang, Pengcheng Liu, Lanying Xu, Wei Deng, Fengmei Tian, Liping Tan

Abstract read
In one paragraph

Article in Nursing open, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Lishuang ZhaoDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-4675-7151
Hui HuangDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Pengcheng LiuDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Lanying XuDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Wei DengDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Fengmei TianDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Liping TanDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-1773-0435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOur study aimed at investigating the risk perception of nurses and related factors in the era of COVID-19 period.

designCross-sectional study.

methodsFour hundred and forty-two participants completed an online questionnaire relating to their risk perception on public health emergencies. Data were collected between 25 November 2020 and 1 December 2020. Kruskal-Wallis test, Mann-Whitney U test and Ordinal logistic regression analysis were used to examine factors impacting on risk perception.

results65.2% of nurses' risk perception of COVID-19 was the moderate level even below the moderate level in the postperiod of COVID-19. Kruskal-Wallis test results indicated significant differences in gender, age, education status, working years, professional title, postlevel, COVID-19 contact experience, marital status and health status (p < 0.05). Ordinal logistic regression showed that gender, education status, professional title, work department, COVID-19 contact experience, character, health status and nursing work environment are associated with risk perception (p < 0.05). No Patient or Public Contribution.

Indexed as

COVID-19NursesCross-Sectional StudiesHumansPerceptionSurveys and QuestionnairesCOVID-19nursespublic health emergencyrisk perception

Identifiers

PMID37209017
PMCPMC10333908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.