Evidence map›Paper›PMID 37216169›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2023

Exploring the knowledge, attitudes, behaviors and training needs of obstetric and gynecological nurses regarding COVID-19 during the peak period of the pandemic in middle-risk areas of China: A cross-sectional study.

Lu Xing, Biru Luo, Anjiang Lei, Peng Chen, Yanhua Li, Huiqing Wang, Xue Deng, Jianhua Ren

Open access · greenAbstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 2 institutions in 1 country.

Lu XingDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Biru LuoDepartment of Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Anjiang LeiDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Peng ChenSchool of Computer and Software Engineering, Xihua University, Chengdu, Sichuan, China.
Yanhua LiDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Huiqing WangMedical Simulation Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Xue DengDepartment of Gynecological Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Jianhua RenDepartment of Obstetric and Gynecological Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Sichuan University · CNXihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has become a global pandemic, which necessitates that health workers be capable of protecting themselves and their patients. This article aimed to describe knowledge levels, attitudes, behaviors and training needs regarding COVID-19 among obstetric and gynecological nurses in medium-risk areas during the pandemic. Method: A cross-sectional survey of obstetric and gynecological nurses in medium-risk areas was performed during the peak period of the pandemic in China. The main survey tool was the self-designed COVID-19 Knowledge, Attitude, Behavior and Training Needs Questionnaire. Pearson correlation analysis was conducted to analyze the relationships among knowledge, attitudes, behaviors and training needs. Results: A total of 599 nurses were recruited, of whom 27.7% failed the knowledge part of the questionnaire. Positive correlations were found between knowledge and attitudes (r = 0.100, P = 0.015) and between attitudes and behaviors (r = 0.352, P = 0.000) regarding occupational protection against COVID-19. A total of 88.5% of nurses preferred online training to traditional training, and more than 70% believed that demonstration of and training in operations by their own department were effective ways to learn about how to protect themselves against COVID-19. Conclusion: The higher the level of knowledge about the disease was, the more positive the attitude toward occupational protection, and consequently, the more actively protective behaviors were adopted. Training affected nurses' knowledge of COVID-19 occupational protection and promoted positive attitudes, which further facilitated the effective prevention and control of the disease. Online training with demonstrations are recommended for COVID-19 training of nurses.

Indexed as

AttitudeBehaviorCOVID-19KnowledgeObstetric and gynecological nursesTraining

Identifiers

PMID37216169
PMCPMC10167776
OpenAlexW4375947193

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.