The Effectiveness of Emotional Intelligence-Driven End-of-Life Care Simulation for Nursing Students
Clinical Simulation in Nursing, ISSN: 1876-1399, Vol: 87, Page: 101490
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
End-of-life (EOL) care presents nursing students with emotional challenges that call for emotional competence; EOL care simulation helps in the examination of emotions. New approaches to debriefing models at EOL care simulation are needed to address emotional needs and promote positive outcomes. A one-group pretest-post-test design was used to improve EI, empathy, and attitude towards care of the dying among 56 nursing students through an emotional intelligence-driven EOL care simulation (EI-EOL-SIM) containing an emotionally charged EOL scenario that was followed by debriefing with emotional intelligence (EI) abilities. The participants’ levels of EI, empathy, and attitude toward care of the dying significantly improved after the intervention. EOL care simulation should include content on EI. Giving the students the opportunity to debrief with EI abilities helped them confront and express their emotions while improving their EI, empathy, and attitudes. The study has implications for education, clinical nursing, and other healthcare professionals.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1876139923001044; http://dx.doi.org/10.1016/j.ecns.2023.101490; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85180606011&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1876139923001044; https://dx.doi.org/10.1016/j.ecns.2023.101490
Elsevier BV
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