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Objectives: End-of-life decisions are not only common in the ICU but also frequently elicit strong feelings among health professionals. Even though we seek to develop more collegial interprofessional approaches to care and health decision-making, there are many barriers to successfully managing complex decisions. The aim of this study is to better understand how emotions influence the end-of-life decision-making process among professionals working in ICU.
Design: Qualitative study with clinical interviews. All interviews were transcribed verbatim and analyzed thematically using interpretative phenomenological analysis.
Setting: Two independent ICUs at the "Centre Hospitalier de l'Université de Montréal."
Subjects: Ten physicians and 10 nurses.
Interventions: None.
Measurements And Main Results: During the end-of-life decision-making process, families and patients restructure the decision-making frame by introducing a strong emotional dimension. This results in the emergence of new challenges quite different from the immediacy often associated with intensive care. In response to changes in decision frames, physicians rely on their relationship with the patient's family to assist with advanced care decisions. Nurses, however, draw on their relationship and proximity to the patient to denounce therapeutic obstinacy.
Conclusions: Our study suggests that during the end-of-life decision-making process, nurses' feelings toward their patients and physicians' feelings toward their patients' families influence the decisions they make. Although these emotional dimensions allow nurses and physicians to act in a manner that is consistent with their professional ethics, the professionals themselves seem to have a poor understanding of these dimensions and often overlook them, thus hindering collegial decisions.
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http://dx.doi.org/10.1097/CCM.0000000000002710 | DOI Listing |
Sci Justice
September 2025
Researchers in Behaviour Sequence Analysis (ReBSA), Australia; Forensic Linguistics Analysis Group (FLAG), Australia; School of Law and Criminology, Murdoch University, Perth, Australia. Electronic address:
Police investigations often give rise to multiple hypothetical pathways for how the crime was conducted. Investigators may develop several hypotheses, often based on different pieces of evidence. It is often the case that investigators have too many potential hypotheses rather than too few.
View Article and Find Full Text PDFPediatrics
September 2025
School of Nursing, Yale University, Orange, Connecticut.
Objective: Feeling prepared for a child's end of life (EOL) may help to alleviate parents' psychological symptoms following their child's death from cancer. However, most parents report feeling unprepared, and data on how parents define feeling prepared for their child's EOL remain limited. In this study, we explored how parents define "preparing" for a child's EOL and identified barriers and facilitators to feeling prepared.
View Article and Find Full Text PDFCancer
September 2025
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Tobacco use is the primary contributor to disease and death in the United States, and cigarette smoking is the leading risk factor for lung cancer. Safe and effective treatments for tobacco dependence exist; however, access to and use of tobacco treatment remains low. The most recent Centers for Medicare and Medicaid Services National Coverage Determination requires a shared decision-making visit for lung cancer screening that includes counseling on the importance of maintaining cigarette smoking abstinence if a person formerly smoked; or the importance of smoking cessation if a person currently smokes and, if appropriate, furnishing of information about tobacco-cessation interventions.
View Article and Find Full Text PDFAnn Surg
September 2025
Department of Surgery, University of Wisconsin-Madison.
Objective: We evaluated the empirical fit of our model of clinical momentum for older adults with life-limiting illness undergoing unplanned surgery.
Background: Older adults often undergo surgery near the end of life, in contrast to generally stated preferences. Systems forces promoting intervention may produce nonbeneficial treatment despite advances in communication.
Rev Cardiovasc Med
August 2025
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, LE3 9QP Leicester, UK.
Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk profiles. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL) models, has revolutionized the potential for improving diagnosis, risk stratification, and personalized care across the ACHD spectrum.
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