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Aim: To explore nurse ability to recognize emotion and its association with clinical empathy.
Background: Empathy is elemental to nursing care and positively effects patient and nurse outcomes, yet self-reported clinical empathy has declined over the past decade. One hypothesized contributor to the ability of a nurse to be empathic is whether they can recognize emotion, a phenomenon thus far unstudied among nurses.
Methods: This cross-sectional study used online survey methods to collect data from 166 licensed nurses employed in one of 22 hospitals in Florida, USA. The Geneva Emotion Recognition Test-Short Form (GERT-SF) measured behavioral empathy-the ability to identify 7 positive and 7 negative basic emotions from non-language-based audiovisual clips with actors expressing these emotions. The Jefferson Scale of Empathy-Health Professionals measured self-reported clinical empathy in patient care. Demographic and work-related factors were assessed with investigator-designed items. Descriptive and bivariate statistical analyses were employed.
Results: Although nurses self-reported very high clinical empathy, their ability to recognize emotions using the GERT-S tool was fair. Emotion recognition and clinical empathy were weakly correlated (r = 0.175, p = 0.024, 95 % CI = 0.02-0.32). The least recognized emotion for the participants to identify was anxiety. No demographic variables were associated with either emotion recognition or clinical empathy.
Conclusions: These findings expose how nurse perceptions of being empathic may poorly align with the ability to recognize a patient's emotional response. Thus, findings have implications for teaching empathy, as well as for how researchers validly and reliably measure these constructs.
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http://dx.doi.org/10.1016/j.apnr.2024.151855 | DOI Listing |
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFScand J Caring Sci
September 2025
Department of Nursing, University of Seville, Seville, Spain.
Background: The nurse-patient relationship is central to quality nursing care, yet its impact remains difficult to quantify. While existing models assess caring competencies from the perspective of nursing students and professionals, there is a lack of validated instruments incorporating direct patient feedback.
Objective: This study aimed to develop and validate the Nursing Interaction in Caring_Competence Assessment-Patient (NIC_CA-Patient) tool, a patient-centred instrument designed to measure caring interaction in nursing practice and establish a predictive model of its development from the patient's perspective.
Alzheimers Dement
September 2025
Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Introduction: Antisocial behaviors occur in dementia, but the underlying neurocognitive mechanisms remain underexplored. We administered a decision-making task measuring patients' harm aversion by offering options to shock themselves or another person in exchange for money, hypothesizing that task performance would relate to antisocial behaviors and ventromedial/orbitofrontal cortex (vmPFC/OFC) atrophy.
Methods: Among 43 dementia patients (n = 23 behavioral variant frontotemporal dementia [bvFTD], n = 20 Alzheimer's disease [AD]), we used linear regressions to measure relationships between harm aversion and antisocial behavior, psychopathic personality traits, socioemotional functions, and vmPFC/OFC cortical thickness, controlling for age, sex, and cognitive dysfunction.
Appl Nurs Res
October 2025
Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey.
Background: Nurses working in high-mortality clinical services, such as intensive care, oncology, and palliative care units, frequently witness patient deaths. This repeated exposure places them at a high risk of bereavement reactions; however, limited research has explored how individual emotional traits, particularly empathy and resilience, shape this experience.
Aims: This study aimed to investigate the mediating role of resilience in the relationship between empathy and bereavement reactions-both short-term emotional reactions and long-term cumulative effects-among nurses working in high-mortality services.
Appl Nurs Res
October 2025
Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Italy; American Holistic Nurses Association (AHNA) Italian Chapter, Italy; Centro di Eccellenza Mediterraneo per lo Sviluppo Accademico della Ricerca Infermi
Purpose: To translate, adapt, and validate the Watson Caritas Co-Worker Score in Italian.
Design: A cross-sectional study was conducted with 182 nurses and healthcare professionals.
Methods: Content Validity and construct validity, with Cronbach's alpha (α) and test-retest Intraclass Correlation Coefficients (ICCs), were calculated to assess validity and reliability.