ArticleBMC nursing2023
Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis.
Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Work-related stress among emergency medical services healthcare workers in İstanbul: A cross-sectional analysis.Medicine · 2026Article
- Latent profiles of frailty in patients with head and neck cancer undergoing radiotherapy: a cross-sectional study.BMJ open · 2026Article
- Comparison of stress, anxiety, and depression between pre-hospital emergency operational staff and hospital emergency department nurses.Journal of education and health promotion · 2026Article
- Emotional Support, Emotional Exhaustion, Mental Health, and Turnover Intention Among China Nurses in Emergency Departments: A Cross-Sectional Survey.The journal of nursing research : JNR · 2025Article
- Relationship between stressors and learning anxiety among Chinese adolescent students during global pandemic: a latent profile analysis.BMC psychology · 2025Article
- Latent profiles of job demands and job resources and their association with work wellbeing among nurses in South Korea.Scientific reports · 2025Article
- Care needs profiles of Crohn's disease patients and their associations with symptom clusters, post-traumatic growth, and family function: a latent profile analysis.BMC gastroenterology · 2025Article
- Health and Social Care Professionals' Experience of Psychological Safety Within Their Occupational Setting: A Thematic Synthesis Review.Nursing reports (Pavia, Italy) · 2025Review
- Anxiety or reflection? exploring profiles of death awareness among chinese nurses: a latent profile analysis.BMC psychology · 2025Article
- Article
- Adapting the HSE-MS Indicator Tool for Academia: A Psychometric Evaluation of the Academic Teacher Stress Indicator Tool in Italian.La Medicina del lavoro · 2024Article
- Patient and family aftercare enhance interactions between Helicopter Emergency Medicine Services and former patients and families.BMC health services research · 2024Article
- Patterns of information literacy and their predictors among emergency department nurses: a latent profile analysis based on the person-context interaction theory.BMC nursing · 2024Article
- Latent profile analysis of burnout, depression, and anxiety symptoms among Chinese medical staff with frontline anti-epidemic experience in the post-COVID-19 pandemic era.Frontiers in public health · 2024Article
- Clinical Research in Prehospital Care: Current and Future Challenges.Clinics and practice · 2023Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. The main purpose of this study was to identify latent profiles of healthcare workers with similar combinations of levels of various work-related stressors during the coronavirus disease 2019 (COVID-19) pandemic and to examine their predictors.
methodsA cross-sectional paper-and-pencil study was conducted among a convenience sample of 297 emergency department (ED) nurses and 219 emergency medical services (EMS) staff members working in 10 hospital EDs and 52 EMS centers in Ardabil province, Iran. Data were collected using the Health and Safety Executive Management Standards Indicator Tool (HSE-MS IT).
resultsUsing the latent profile analysis (LPA), five work-related stress profiles were identified: "high stress with a good understanding of one's job role" (11.1%), "moderate stress" (41.9%), "relatively high stress with average demands and a very low understanding of one's job role" (23.8%), "low stress" (18.0%), and "generally low stress but with very high job demands and relational conflicts" (5.2%). Age, marital status, service location, workplace, and the number of overtime hours significantly predicted profile membership.
conclusionThe results of the study suggest the importance of incorporating various sources of stress and using the person-centered approach when investigating the work-related stress of healthcare workers during disease outbreaks. Identifying sociodemographic and work-related predictors of profile membership may be useful for preparing interventions that will be better suited to healthcare workers' needs.
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