Stress level and associated factors among nurses working in the critical care unit and emergency rooms at comprehensive specialized hospitals in Southern Ethiopia, 2023: explanatory sequential mixed-method study.

Autor: Bolado, Getachew Nigussie, Ataro, Bizuayehu Atinafu, Gadabo, Christian Kebede, Ayana, Agumas Shibabaw, Kebamo, Tamirat Ersino, Minuta, Worku Mimani
Předmět:
FAMILIES & psychology
CROSS-sectional method
CORPORATE culture
NURSES
FEAR
COMMUNICATIVE competence
QUALITATIVE research
COMPUTER software
DEATH
MEDICAL personnel
INTERPROFESSIONAL relations
EXECUTIVES
PERSONAL protective equipment
JOB security
LEADERS
QUESTIONNAIRES
INTERVIEWING
RESPONSIBILITY
WORK environment
LOGISTIC regression analysis
CONTENT analysis
NURSING career counseling
QUANTITATIVE research
WAGES
JUDGMENT sampling
EMOTIONS
SURGICAL equipment
WORKING hours
WORKFLOW
PATIENT-centered care
MOTIVATION (Psychology)
ODDS ratio
THEMATIC analysis
JOB stress
RESEARCH methodology
COMMUNICATION
TECHNOLOGY
PERSONALITY
DATA analysis software
SOCIAL support
QUALITY assurance
SOCIODEMOGRAPHIC factors
INTERPERSONAL relations
CONFIDENCE intervals
CRITICAL care nurses
EMERGENCY nurses
SPECIALTY hospitals
EMPLOYEES' workload
TIME
Zdroj: BMC Nursing; 5/21/2024, Vol. 23 Issue 1, p1-15, 15p
Abstrakt: Background: Stress is a pervasive occurrence within certain professions, including nurses working in emergency and intensive care unit environments. Nurses in these settings often confront various stress-inducing factors, such as unsupportive management and distressing events like patient mortality, and experience notably higher levels of stress. Nevertheless, information is scarce regarding the precise level of stress in Ethiopia, particularly within southern hospitals. Objective: To assess stress levels and associated factors among nurses working in the critical care unit and emergency rooms at comprehensive specialized hospitals in southern Ethiopia, 2023. Methods: A facility-based cross-sectional explanatory sequential mixed-method study was undertaken, involving a total of 239 nurses. For the quantitative component, all nurses working in intensive care units and emergency rooms were included as participants, while a purposive sampling technique was employed to select participants for the qualitative aspect. Data for the quantitative study were gathered through the utilization of self-administered questionnaires, while interviews were conducted using a structured interview guide for the qualitative portion. Quantitative data entry and analysis were performed using EpiDataV4.6 and the Statistical Package for the Social Sciences software, respectively. Thematic analysis of the qualitative data was conducted using the OpenCode software. Results: The level of stress among nurses in the emergency and intensive care units was low (19.3%), moderate (55.9%), and high (24.8%). Workload (Adjusted odds ratio (AOR) = 3.51, 95% confidence interval (CI) (1.17–10.56) and time constraints (AOR = 2.5, 95% CI (1.03–6.07) were significantly associated with moderate stress level, while duty demands (AOR = 3.03, 95% CI (1.17–7.14), availability of medical equipment and supplies (AOR = 1.42, 95% CI (1.18–4.97), and witnessing death and dying (AOR = 2.34, 95% CI (1.13–5.88) were significantly associated with high-stress level. The qualitative data analysis revealed that the participants underscored the significant impact of organizational factors, individual factors, and profession-related factors on the stress levels experienced by nurses in emergency and critical care settings. Conclusion and recommendation: Based on the findings, the participants in this study experienced some level of stress, to varying degrees. Therefore, it is crucial to implement effective strategies such as optimizing staffing and workflow, improving communication and collaboration, providing adequate support and resources, leveraging technology and innovation, emphasizing patient-centered care, and implementing data-driven quality improvement to alleviate the burden. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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