Background: In some countries, shared medical appointments (SMAs) have been shown to be more effective than single consultations for managing chronic diseases. Our study was designed as the first stage of a Royal Australian College of General Practitioners (RACGP) funded project to assess potential patient and provider support for SMAs if they were to become available in Australia.
Methods: We conducted focus groups with healthcare providers and patients with diabetes in four large regional health centres in NSW. The data were analysed using rigorous qualitative processes.
Results: Healthcare provider participants appeared overwhelmingly in favour of SMAs, while patients were divided on the process. Where opposed, patients cited concerns about confidentiality and their satisfaction with the status quo.
Discussion: There appears to be a groundswell of interest in SMAs that warrants further investigation in the Australian healthcare system. Issues of reimbursement, homogeneity of groups and training need further consideration.
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JMIR Form Res
January 2025
Larner College of Medicine, University of Vermont, Burlington, VT, United States.
Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.
Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.
JAMA Netw Open
January 2025
Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Importance: Obesity, a chronic disease with escalating global prevalence, poses considerable health risks. Glucagon-like peptide 1 receptor agonists (GLP-1RAs), including liraglutide, semaglutide, and tirzepatide, have demonstrated efficacy for weight loss in clinical trials. The paradigm shift in the approach to obesity management drugs (OMDs) may offer an opportunity to examine online search activity and prescription trends.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Ann Surg Oncol
January 2025
Orthopedic Surgery, Leiden University Medical Center, Leiden, The Netherlands.
mBio
January 2025
Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
The 55-carbon isoprenoid, undecaprenyl-phosphate (UndP), is a universal carrier lipid that ferries most glycans and glycopolymers across the cytoplasmic membrane in bacteria. In addition to peptidoglycan precursors, UndP transports O-antigen, capsule, wall teichoic acids, and sugar modifications. How this shared but limited lipid is distributed among competing pathways is just beginning to be elucidated.
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