Objectives: To determine the prevalence and risk factors for burnout in the intensive care units (ICU) staff in Turkey. Burnout is prevelant in physicians and nurses in the ICU worldwide. Most ICU workers with burnout plan to leave their professions. Frequent replacement of ICU staff increases cost and decreases the quality of care. Prevalence and risk factors of burnout in ICU staff in Turkey are largely unknown.
Methods: This is a cross-sectional study. Data were gathered using the Maslach Burnout Inventory (MBI) which was distributed during August 2018, among all 1161 ICU workers in Turkey.
Results: Burnout was detected in at least one subscale in 99% of participants and in all 3 subscales in 15% of the participants. Risk factors for emotional exhaustion included female gender (odds ratio [OR]=1.87 [95% CI: 1.26-2.78]; p less than 0.01), alternate-day shift (OR=3.93 [95% CI: 1.66-9.30]; p less than 0.01), and incidence of end of life care (OR=1.01 [95% CI: 1.00-1.03]; p less than 0.01). For depersonalization it included alternate-day shift (OR=2.22 [95% CI: 1.15-4.26]; p less than 0.05), incidence of end of life care (OR=1.02 [95% CI: 1.01-1.03]; p less than 0.01), and for reduced personal accomplishment it included incidence of end of life care (OR=0.97 [95% CI: 0.96-0.98]; p less than 0.01). Conclusion: The results indicated that ICU staff in Turkey had a high rate of burnout.
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http://dx.doi.org/10.15537/smj.2019.9.24520 | DOI Listing |
Appl Nurs Res
February 2025
University of Helsinki and Helsinki University Hospital, Nursing Research Center, Tukholmankatu 8F, P.O. Box 442, FIN-00029 HUS, Finland; Lovisenberg Diaconal University College, Oslo, Norway. Electronic address:
Aims: This study aims to describe how newly hired nurses assess the quality of the orientation in acute care settings in a university hospital.
Background: Orientation for newly hired nurses in acute care settings, where special competence, ability to collaborate with different professional groups, and wide technical and technological skills are required, is crucial to ensure patient safety and high-quality standards in nursing care.
Methods: A cross-sectional study design was applied.
Intensive Crit Care Nurs
January 2025
Clinic for Intensive Care, Department of Acute Medicine, University Hospital Basel, Basel, Switzerland; Medical Faculty, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Basel, Switzerland.
Background: Workplace violence (WPV) presents challenges in intensive care units (ICUs) calling for reliable prediction of violence. This narrative review aimed to identify and evaluate risk assessment tools from acute care settings which are or might be used to predict violent behavior in adult ICU patients focusing on their performance and clinical utility.
Methods: A screening of PubMed, Scopus and Google Scholar was conducted to identify risk scores used in the acute care setting such as emergency departments, hospitals and ICUs.
J Clin Med
January 2025
Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, 22083 Berlin, Germany.
Predictive machine learning models have made use of a variety of scoring systems to identify clinical deterioration in ICU patients. However, most of these scores include variables that are dependent on medical staff examining the patient. We present the development of a real-time prediction model using clinical variables that are digital and automatically generated for the early detection of patients at risk of deterioration.
View Article and Find Full Text PDFChildren (Basel)
January 2025
Department of Pediatrics, Patras Medical School, University of Patras, University Hospital of Patras, 26504 Patras, Greece.
Background/objectives: Limited data exist on the organization and operation of Level II/III Neonatal Intensive Care Units (NICUs) in Greece; this retrospective cross-sectional survey explored their structure and functioning in 2004 and 2022.
Methods: A structured questionnaire was utilized, along with demographic and perinatal data obtained from the Hellenic Statistical Authority.
Results: Between 2004 and 2022, live births decreased by 28%, while the prematurity rate rose from 6.
BMC Public Health
January 2025
Lund University, Lund, Sweden.
Working as a nurse offers job security but also poses risks for mental health issues. This study aims to explore factors and processes that affected health and work experiences among nurses in Sweden during the COVID-19 pandemic. Semi-structured interviews were conducted with 14 nurses from high COVID-19 patient load areas (ambulance, emergency departments, ICU, infection wards, and specialized COVID-19 wards).
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