Evidence map›Paper›PMID 39170153›Full record

ArticleHeliyon2024

The competence of nurses caring for COVID-19 patients regarding disaster management: Structural equation modeling of knowledge, attitude, and performance.

Maryam Khandan, Zinab Ghorbani, Mohsen Golestani, Faranak Moradi

Abstract read
In one paragraph

Article in Heliyon, 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

4 authors.

Maryam KhandanDepartment of Nursing, Faculty of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman, Iran.
Zinab GhorbaniDepartment of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman, Iran.
Mohsen GolestaniDepartment of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman, Iran.
Faranak MoradiDepartment of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outbreak of COVID-19 as a global disaster has required nurses, as front-line providers of safe and quality care to patients with this disease, for proper disaster management to have a high level of competence, which demands an acceptable level of knowledge, attitude, and performance. Therefore, this study was conducted to model the relationship between knowledge, attitude, and performance with the competence of nurses caring for patients with COVID-19 regarding disaster management. Methods: This descriptive-correlational study was conducted on 291 hospital nurses using the structural equation modeling approach in three provinces of Iran, including Kerman, Hormozgan, and Fars, from June to December 2021. Data were collected through a researcher-made questionnaire that provided information on demographics, knowledge, attitude, performance, and competence regarding disaster management. Data analysis, which included descriptive and inferential statistics, was performed using SPSS and AMOS software. Moreover, the structural equation modeling method was based on the covariance to examine the proposed model of the relationship between knowledge, attitude, and performance with nurses' competence. Results: The study revealed that the nurses had average knowledge, acceptable attitudes, high performance, and acceptable competence scores. A positive and significant relationship was found between knowledge, attitude, and performance with nurses' competencies (P < 00.05). Furthermore, the coefficient of determination of nurses' competence in the modified structural model indicates that exogenous variables, namely knowledge, attitude, and performance, could predict 36 % of the changes in nurses' competence. Finally, the path coefficient of the effect of knowledge, attitude, and performance on nurses' competence was higher than 1.96. Conclusions: According to the study, although the knowledge, attitude, performance, and competence of nurses caring for patients with COVID-19 were at an acceptable level, there were obstacles to improving their competence. Hence, identifying and prioritizing educational needs and learning preferences based on their cultural backgrounds are also emphasized.

Indexed as

AttitudeCompetenceCOVID-19Disaster managementKnowledgeNursesPerformance

Identifiers

PMID39170153
PMCPMC11336690

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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.