Evidence map›Paper›PMID 39156678›Full record

ArticleInternational journal of nursing sciences2024

Research on the relationship between nurses' emergency public health response capacity and workplace resilience: A cross-sectional study.

Wenwen Shi, Chen Qiu, Yifan Zhang, Yixin Wang, Li Gui

Abstract read
In one paragraph

Article in International journal of nursing sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Wenwen ShiSchool of Nursing, Navy Military Medical University, Shanghai, China.
Chen QiuDepartment of Orthopedics, Fourth Medical Center, Chinese PLA General Hospital, Beijing, China.
Yifan ZhangBasic Medical School, Navy Military Medical University, Shanghai, China.
Yixin WangSchool of Nursing, Navy Military Medical University, Shanghai, China.
Li GuiSchool of Nursing, Navy Military Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the factors influencing nurses' ability to respond to public health emergencies and understand the relationship between nurses' ability to respond to emergencies and workplace resilience. Methods: A cross-sectional study of 361 nurses from military hospitals was conducted from January 18 to September 6, 2022, using an online survey. The Infectious Diseases Emergency Response Capacity (IDERC) questionnaire and the Workplace Resilience Scale (WRS) were utilized, and sociodemographic information was also collected. Data were analyzed using descriptive statistics and frequency analysis. Differences between groups were identified by one-way analysis of variance, and linear regression was used to analyze the main factors influencing the infectious emergency response capacity. Results: The average infectious emergency response capacity score on the IDERC questionnaire and workplace resilience, measured by WRS, were 4.01 ( Conclusion: The results indicate an urgent need to strengthen the training of nurses with lower degree of education, shorter service years, no prior work, or no experience of epidemic prevention participation, and hospitals should also prioritize improving nurses' workplace resilience through targeted interventions, enhancing their abilities in infectious disease prevention, preparation, first aid, and subsequent critical patient care.

Indexed as

NursePublic healthRescue workResilienceResponding capabilities

Identifiers

PMID39156678
PMCPMC11329061

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.