The competence of nurses caring for COVID-19 patients regarding disaster management: Structural equation modeling of knowledge, attitude, and performance
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,...
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Veröffentlicht in: | Heliyon 2024-08, Vol.10 (15), p.e35568, Article e35568 |
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Sprache: | eng |
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Zusammenfassung: | 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.
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.
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 |
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ISSN: | 2405-8440 2405-8440 |
DOI: | 10.1016/j.heliyon.2024.e35568 |