Literature DB >> 34796603

Predictors of nurses' reporting for work at the time of epidemics and natural disasters; solutions for hospital surge capacity.

Vahid Ghavami1, Fatemeh Kokabi Saghi2, Ali Asghari3, Hamidreza Shabanikiya2.   

Abstract

PURPOSE: To identify the predictors of nurses' presence at hospitals at the time of three types of disasters.
DESIGN: This cross-sectional study was performed using a researcher-generated questionnaire.
METHODS: This study was performed on 350 nurses of five public hospitals. Data was collected using a questionnaire in which the respondents were asked about their decisions on reporting for work in the event of three scenarios: epidemic of an unknown contagious respiratory disease, earthquake, and flood. Multiple logistic regression was used to analyze the data.
FINDINGS: The four predictors of nurses reporting for work include receiving trainings on disasters, and concerns on the non-compensation for providing services following the disaster, concerns about family safety and workplace safety.
CONCLUSION: Although slightly different factors affect the willingness of participants to report for work in each scenario, they can be put in two main categories; namely as personal and impersonal. Devising a family disaster plan and providing educational programs on self-care are two main strategies to increase the chances of presence at work following disasters. CLINICAL RELEVANCE: The presence of more nurses in the hospital at the time of disasters can significantly improve the quality of care, and clinical outcomes of patients and disaster victims.
© 2021 Sigma Theta Tau International.

Entities:  

Keywords:  diaster response; instrument development; quantitative methodology; statistics; working conditions

Mesh:

Year:  2021        PMID: 34796603     DOI: 10.1111/jnu.12746

Source DB:  PubMed          Journal:  J Nurs Scholarsh        ISSN: 1527-6546            Impact factor:   3.928


  1 in total

1.  Perceived Disaster Preparedness and Willingness to Respond among Emergency Nurses in South Korea: A Cross-Sectional Study.

Authors:  Won-Seok Choi; Sung Youl Hyun; Hyunjin Oh
Journal:  Int J Environ Res Public Health       Date:  2022-09-19       Impact factor: 4.614

  1 in total

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