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Service delivery and the role of clinical pharmacists in UK primary care for older people, including people with dementia: a scoping review.
BMC Prim Care
January 2025
Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, QMUL, London, UK.
Objective: As populations age globally, there is increasing prevalence of multiple long-term conditions, such as dementia, leading to many challenges. The burden on health and care services, economic pressures, and the necessity for innovative policies to better support older people and people with dementia becomes paramount. This review explores how clinical pharmacists working in UK primary care support older people and people with dementia.
View Article and Find Full Text PDFProlonged grief reactions and help-seeking in bereaved adults during the COVID-19 pandemic.
J Affect Disord
January 2025
Faculty of Health, IMPACCT, University of Technology Sydney, Ultimo, NSW, Australia; Department of Palliative Care, Calvary Health Care, Kogarah, NSW, Australia.
Background: The COVID-19 pandemic disrupted many care systems limiting bereaved people's ability to access social, community, and professional support. This study investigated help-seeking of people living with probable prolonged grief disorder (PGD) to identify challenges and facilitators of care, with the aim of informing bereavement practice and policy recommendations.
Methods: Participants (N = 786; 96.
[Resilience as an integral component of action competence in internal medicine].
Inn Med (Heidelb)
January 2025
Medizinische Klinik II, Lehrstuhl für Integrierte Psychosomatische Medizin und Psychotherapie, Universitätsklinikum Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Deutschland.
Physicians in internal medicine are exposed to high levels of stress. Conditions of chronic emotional fatigue and burnout are widespread. Resilience, the ability to cope with difficult situations and to adapt to adverse circumstances, is essential.
View Article and Find Full Text PDFHuman interpretable structure-property relationships in chemistry using explainable machine learning and large language models.
Commun Chem
January 2025
Laboratory of Artificial Chemical Intelligence, Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address the opaque nature of machine learning models. Furthermore, it has been shown that XAI can be used to extract input-output relationships, making them a useful tool in chemistry to understand structure-property relationships. However, one of the main limitations of XAI methods is that they are developed for technically oriented users.
View Article and Find Full Text PDFEnhancing Communication and Empathy Skills in Geriatric Care: Nurses' Reflections on Simulation-Based Training for Patient Interaction and Education.
J Clin Nurs
January 2025
Community Health Nursing Department, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
Aim: To explore the impact of simulation-based training on communication and empathy skills among nurses working with elderly patients in the Abha region of Saudi Arabia. The study also aimed to identify the barriers and facilitators to applying these skills in real-world clinical practice.
Design: A qualitative study.
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