Background: The way in which patients receive bad news in a consultation can have a profound effect in terms of anxiety, depression and subsequent adjustment. Despite investment in well-researched communication skills training and availability of decision-making aids, communication problems in oncology continue to be encountered.
Methods: We conducted a mixed-methods study in a large UK Cancer Centre to develop a novel consultation aid that could be used jointly by patients and doctors. Consultations were audio-recorded and both the doctors and the patients were interviewed. We used conversation analysis to analyse the consultation encounter and interpretative phenomenological analysis to analyse the interviews. Key themes were generated to inform the design of the aid.
Results: A total of 16 doctors were recruited into the study along with 77 patients. Detailed analysis from 36 consultations identified key themes (including preparation, information exchange, question-asking and decision making), which were subsequently addressed in the design of the paper-based aid.
Conclusions: Using detailed analysis and observation of oncology consultations, we have designed a novel consultation aid that can be used jointly by doctors and patients. It is not tumour-site specific and can potentially be utilised by new and follow-up consultations.
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http://dx.doi.org/10.1038/bjc.2013.749 | DOI Listing |
Curr Cardiol Rep
January 2025
Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Purpose Of Review: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease, characterized by hepatic steatosis with at least one cardiometabolic risk factor. Patients with MASLD are at increased risk for the occurrence of cardiovascular events. Within this review article, we aimed to provide an update on the pathophysiology of MASLD, its interplay with cardiovascular disease, and current treatment strategies.
View Article and Find Full Text PDFHealth Informatics J
January 2025
Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia.
The HIV epidemic in Indonesia is one of the fastest growing in Southeast Asia and is characterised by a number of geographic and sociocultural challenges. Can large language models (LLMs) be integrated with telehealth (TH) to address cost and quality of care? A literature review was performed using the PRISMA-ScR (2018) guidelines between Jan 2017 and June 2024 using the PubMed, ArXiv and semantic scholar databases. Of the 694 records identified, 12 studies met the inclusion criteria.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Vita Stråket 12, Floor 4, 41346, Gothenburg, Sweden.
Background: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.
Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.
Geroscience
January 2025
Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, USA.
Sarcopenia, the pathological age-related loss of muscle mass and strength, contributes to physical decline, frailty, and diminished healthspan. The impact of sarcopenia is expected to rise as the aging population grows, and treatments remain limited. Therefore, novel approaches for enhancing physical function and strength in older adults are desperately needed.
View Article and Find Full Text PDFNat Med
January 2025
Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.
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