Background: Intensive and critical care nurses need to demonstrate ethical sensitivity especially in recognizing and dealing with ethical dilemmas particularly as they often care for patients living with life-threatening conditions. Theories suggest that there is a convergence between nurses' empathy and ethical sensitivity. Evidence in the literature indicates that nurses' emotional, demographic, and work characteristics are associated with their level of empathy and ethical sensitivity.
Aim: To investigate the relationship between nurses' empathy and ethical sensitivity, considering their emotional states (depression, anxiety, and stress), demographic and work characteristics, and test an empirical model describing potential predictors of empathy (as a mediator) and ethical sensitivity using path analysis.
Research Design: Using a cross-sectional design, the philosophical theory of care ethics and empathy was extended and adopted as a conceptual framework for this study and tested by path analysis.
Participants And Research Context: Data were collected from 347 intensive care nurses recruited by ten educational-medical hospitals in Iran using a questionnaire between February and March 2021.
Ethical Considerations: The study was reviewed by the Ethical Advisory Board in Iran and conducted according to the Declaration of Helsinki.
Findings: Study participants demonstrated a mild level of stress, anxiety, and depression, alongside a relatively high level of empathy and ethical sensitivity. Nurses with good socioeconomic status had higher empathetic behavior with patients than those with weak status. Nurses aged over 40 who had received ethics training and had higher work experience were associated with higher ethical sensitivity compared to nurses under 20 years of age. Empathy directly affected ethical sensitivity; however, anxiety had an indirect effect on ethical sensitivity through empathy. Among demographic factors, age had a positive direct effect on ethical sensitivity.
Conclusions: Less anxiety and a high level of empathy contribute to higher levels of ethical sensitivity among intensive and critical care nurses.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/09697330231167543 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hexagonal Hollow Core PCF-Based Blood Components Sensing: Design and Simulation.
Cell Biochem Biophys
January 2025
Department of Electronics and Communication Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, 5200, Bangladesh.
Blood components play a crucial role in maintaining human health and accurately detecting them is essential for medical diagnostics. A cutting-edge sensor utilizing PCF revealed to precisely identify a wide range of blood components with WBCs (white blood cells), RBCs (red blood cells), HB (hemoglobin), platelets, and plasma. A numerical analysis was performed using COMSOL Multiphysics software to assess the capabilities of the sensor.
View Article and Find Full Text PDFOptimising Instrumented Mouthguard Data Analysis: Video Synchronisation Using a Cross-correlation Approach.
Ann Biomed Eng
January 2025
Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
Purpose: Head acceleration events (HAEs) are a growing concern in contact sports, prompting two rugby governing bodies to mandate instrumented mouthguards (iMGs). This has resulted in an influx of data imposing financial and time constraints. This study presents two computational methods that leverage a dataset of video-coded match events: cross-correlation synchronisation aligns iMG data to a video recording, by providing playback timestamps for each HAE, enabling analysts to locate them in video footage; and post-synchronisation event matching identifies the coded match event (e.
View Article and Find Full Text PDFA novel ubiquitination-related gene signature for overall survival prediction in patients with liver hepatocellular carcinoma.
Discov Oncol
January 2025
Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Liver hepatocellular carcinoma (LIHC) is a highly heterogeneous disease, necessitating the discovery of novel biomarkers to enhance individualized treatment approaches. Recent research has shown the significant involvement of ubiquitin-related genes (UbRGs) in the progression of LIHC. However, the prognostic value of UbRGs in LIHC has not been investigated.
View Article and Find Full Text PDFViral infections of the central nervous system increase the risk of knee osteoarthritis: a two-sample mendelian randomization study.
Aging Clin Exp Res
January 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China.
Objective: Osteoarthritis (OA) represents a condition under the influence of central nervous system (CNS) regulatory mechanisms. This investigation aims to examine the causal association between viral infections of the central nervous system (VICNS) and inflammatory diseases of the central nervous system (IDCNS) and knee osteoarthritis (KOA) at the genetic level.
Methods: In this investigation, VICNS and IDCNS were considered as primary exposure variables, while KOA served as the primary outcome.
Causal role of ischemic heart disease in ovarian cancer subtypes.
Discov Oncol
January 2025
Department of Cardiovascular Medicine, Jiu Jiang NO.1 People's Hospital, Jiujiang, 332000, China.
Background: Ischemic heart disease (IHD) may share biological mechanisms with cancer, including ovarian cancer, through pathways such as chronic inflammation and oxidative stress. However, the relationship between IHD and ovarian cancer subtypes remains unclear. This study used Mendelian randomization (MR) to explore potential causal associations.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!