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Increasing access to pain care services to improve rural pain management: a realist review investigating factors affecting uptake, implementation, and sustainability.
Pain
January 2025
Innovation, Implementation and Clinical Translation (IIMPACT) in Health, University of South Australia Adelaide, SA, Australia.
Guideline-based care for chronic pain is challenging to deliver in rural settings. Evaluations of programs that increase access to pain care services in rural areas report variable outcomes. We conducted a realist review to gain a deep understanding of how and why such programs may, or may not, work.
View Article and Find Full Text PDFEstablishing oncofertility care in limited resource settings: a narrative review.
J Assist Reprod Genet
January 2025
Harvard Medical School, Boston, MA, USA.
Purpose: While the literature has addressed the implementation of oncofertility care at developed institutions, minimal advice exists for those seeking to build oncofertility programs in limited resource settings (LRS). Our research offers a promising conversation on establishing oncofertility care in such settings from the perspective of a practitioner working to establish care in Latin America. We propose practices that have the potential to significantly improve access to and quality of care in these challenging settings.
View Article and Find Full Text PDFCT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma.
Abdom Radiol (NY)
January 2025
Department of Hepato-Biliary-Pancreatic Surgery, Huadong Hospital affiliated to Fudan University, Shanghai, China.
Background: The prognostic prediction of pancreatic ductal adenocarcinoma (PDAC) remains challenging. This study aimed to develop a radiomics model to predict Ki-67 expression status in PDAC patients using radiomics features from dual-phase enhanced CT, and integrated clinical characteristics to create a radiomics-clinical nomogram for prognostic prediction.
Methods: In this retrospective study, data were collected from 124 PDAC patients treated surgically at a single center, from January 2017 to March 2023.
A streamlined U-Net convolution network for medical image processing.
Quant Imaging Med Surg
January 2025
Department of Information Management, National Yunlin University of Science & Technology, Yunlin.
Background: Image segmentation is crucial in medical diagnosis, helping to identify diseased areas in images for more accurate diagnoses. The U-Net model, a convolutional neural network (CNN) widely used for medical image segmentation, has limitations in extracting global features and handling multi-scale pathological information. This study aims to address these challenges by proposing a novel model that enhances segmentation performance while reducing computational demands.
View Article and Find Full Text PDFWhat are the training and support needs for homelessness hostel staff supporting older residents with memory and cognitive problems? A qualitative study.
BMC Health Serv Res
January 2025
Division of Psychiatry, University College London, London, England.
Background: An increasing number of older people are experiencing homelessness and memory problems, many of whom are supported in temporary hostel accommodation. This can be a challenge for hostel staff who may not have adequate training and support but who often support those with significant memory impairment in their day-to-day work. The study aimed to investigate the training and support that hostel staff require to meet the needs of older hostel residents experiencing memory and cognitive problems, and thus enhance hostel resident quality of life and well-being, considering what additional knowledge, skills, and support hostel staff need to achieve this.
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