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Background: Teamwork may assist with increased levels of efficiency and safety of patient care in the emergency department (ED), with emergency nurses playing an indispensable role in this process.
Method: A descriptive, exploratory approach was used, drawing on principles from phenomenology and symbolic interactionism. Convenience, purposive sampling was used in a major metropolitan ED. Semi structured interviews were conducted, audio recorded, and transcribed verbatim. Transcripts were analysed using thematic analysis.
Results: Three major themes emerged from the data. The first theme 'when teamwork works' supported the notion that emergency nurses perceived teamwork as a positive and effective construct in four key areas; resuscitation, simulation training, patient outcomes and staff satisfaction. The second theme 'team support' revealed that back up behaviour and leadership were critical elements of team effectiveness within the study setting. The third theme 'no time for teamwork' centred around periods when teamwork practices failed due to various contributing factors including inadequate resources and skill mix.
Discussion: Outcomes of effective teamwork were valued by emergency nurses. Teamwork is about performance, and requires a certain skill set not necessarily naturally possessed among emergency nurses. Building a resilient team inclusive of strong leadership and communication skills is essential to being able to withstand the challenging demands of the ED.
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http://dx.doi.org/10.1016/j.aenj.2017.01.003 | 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 PDFCureus
August 2025
Community Medicine Management, Shimane University, Izumo, JPN.
This systematic review synthesized findings from 17 studies conducted between 2000 and 2024, focusing on the definitions, interventions, and outcomes associated with community nursing. The studies originated from diverse countries, including Singapore, Australia, Italy, Portugal, and the United States, and employed various designs such as quasi-experimental trials, pre-post evaluations, and descriptive studies. Sample sizes ranged from 23 to over 1,600 participants, with most targeting older adults or individuals with chronic conditions.
View Article and Find Full Text PDFJ Adv Nurs
September 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Aim: To systematically analyse international empirical literature and establish a comprehensive understanding of the push and pull factors influencing retention and turnover among mid-career nurses.
Design: An integrative review.
Data Sources: PubMed, Web of Science, Scopus, EMBASE (Ovid), and CINAHL (EBSCO) were searched for studies published between January 2001 and November 2024.
Nurs Sci Q
October 2025
Decker College of Nursing and Health Sciences, Binghamton University, State University of New York, Binghamton, NY, USA.
Living out unique knowledge in nursing arises out of the discipline's extant and emerging theoretical perspectives. These perspectives guide nurses in their approaches to various research, teaching, practice, and leadership situations. These situations, although different, have a common focus on persons and their lives.
View Article and Find Full Text PDFNurs Sci Q
October 2025
Department of Nursing, Missouri Western State University, St. Joseph, MO, USA.
The purpose of this study was to explore trust in nurse-patient relationships from the perspectives of Generation Z nursing students. Eligible and consented participants were interviewed one-on-one via a semistructured interview questionnaire with audio recordings. Data analysis was completed by directed content analysis.
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