Background: Compassion is core to nursing practice. Nurses' expression of compassion is a complex interaction informed by the nurse, the patient and the practice environment.
Aim: The aim of this study was to identify personal, professional and organizational factors, intensive care nurses, in a major metropolitan facility in Australia, identified as enabling or disabling them to be compassionate.
Design: Intensive care nurses (n = 171) reflected on their experiences during 'compassion cafés' conducted in 2015.
Method: Qualitative, reflexive methods were used to explore ICU nurses' perceptions of enablers and barriers. Nurses documented their perceptions, which were thematically analysed. Meanings were subsequently verified with participants.
Results: The findings identified multiple factors both inside and outside the workplace that constrained or enabled nurses' ability to be compassionate. Two main factors inside the workplace were culture of the team, in particular, support from colleagues and congruency in work practices and decision-making, and connections with patients and families. Outside the workplace, nurses were influenced by their values about care and lifestyle factors such as family demands.
Conclusions: Nurses capacity to be compassionate is a complex interplay between nursing knowledge and expectations, organizational structures and lifestyle factors.
Implications: The responsibility for 'compassionate' care is a shared one. Nurses need to be cognizant of factors that are enabling or inhibiting their ability to be compassionate. Healthcare leaders have a responsibility to provide structural support (staffing, education and space) that assist nurses to deliver compassionate care and where appropriate cater for nurses needs so that they are better able to be compassionate.
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http://dx.doi.org/10.1111/jan.13064 | DOI Listing |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
January 2025
From the Department of Trauma Services (E.W.R., B.S., M.L., M.R.), OhioHealth Grant Medical Center, Columbus; and Ohio University Heritage College of Osteopathic Medicine (K.W., N.K.), Athens, Ohio.
Background: Computed tomography angiography of the head (CTAH) is not routinely obtained during the initial evaluation of patients with traumatic intracranial hemorrhage (ICH); however, it is useful for diagnosing vascular pathologies that may have led to the bleed. The aims of this study were to identify traumatic ICH patient characteristics on presentation that are associated with positive CTAH findings to elucidate which ones should prompt a CTAH and compare outcomes of patients with positive and negative CTAH findings.
Methods: This is a retrospective cohort study of 522 patients who had blunt traumatic ICH and subsequently received CTAH between January 1, 2017, and January 1, 2022.
Pain Med
January 2025
Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, /Harvard Medical School, Boston, MA, 02114, United States of America.
Multiple intensive care units shared core knowledge, skills, and competencies but provided separate orientations leading to inconsistencies in practice, variations in onboarding, and poor use of resources. In this article, the methods of aligning the nursing professional development practitioner roles to the process of standardizing a core curriculum are described. This collaborative initiative sought to increase the knowledge and comfort of the new nurses while setting precedence for collaboration with educational endeavors between the units.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Background: The relationships between pectoralis muscle parameters and outcomes in patients with coronavirus disease 2019 (COVID-19) remain uncertain.
Methods: We systematically searched PubMed, Embase, Web of Science and the Cochrane Library from 1 January 2019 to 1 May 2024 to identify non-overlapping studies evaluating pectoralis muscle-associated index on chest CT scan with clinical outcome in COVID-19 patients. Random-effects and fixed-effects meta-analyses were performed, and heterogeneity between studies was quantified using the I2 statistic.
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