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http://dx.doi.org/10.3109/01612840.2014.965619 | DOI Listing |
Diabet Med
January 2025
Usher Institute, Medical School, University of Edinburgh, Edinburgh, UK.
Background: Trials conducted in highly selected populations have shown that type 2 diabetes (T2D) remission is possible, but the feasibility and acceptability of supporting remission in routine clinical practice remain uncertain.
Aim: We explored primary care professionals' perceptions and understandings of T2D remission and their views about supporting remission within routine clinical care.
Methods: Semi-structured interviews were conducted with 14 GPs and nine nurses working in Scottish general practices.
Sci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
View Article and Find Full Text PDFInvest Radiol
January 2025
From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative errors and signal loss, limiting its utility. Multishot DWI (msDWI) offers reduced image distortion and blurring relative to single-shot methods but increases sensitivity to motion artifacts. Motion-compensated diffusion-encoding gradients (MCGs) reduce motion artifacts and could improve motion robustness of msDWI but come with the cost of extended echo time, further reducing signal.
View Article and Find Full Text PDFPLoS One
January 2025
School of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Introduction: The World Health Organization (WHO) has emphasized the importance of ensuring respectful and dignified childbirth experiences. However, many countries, including Rwanda, have documented negative experiences during childbirth. Identifying best practices can help uncover sustainable solutions for resource-limited settings rather than focusing solely on the challenges and negative aspects.
View Article and Find Full Text PDFKidney Med
November 2024
Division of Geriatrics and Extended Care, Edward Hines, Jr. VA Hospital, Hines, IL.
Rationale & Objective: Engaging patients with advanced chronic kidney disease (CKD) in goals of care (GOC) conversations is essential to align life-sustaining treatments with patient preferences. This pilot study described the feasibility of engaging older Veterans with advanced CKD in GOC conversations via telehealth by (1) comparing patient characteristics, including life-sustaining treatment note completion rates and preferences by visit modality, and (2) exploring Veteran and clinician perspectives surrounding telehealth GOC conversations.
Study Design: Mixed-method convergent design including a prospective, quantitative observational cohort analysis (n = 40) and qualitative, semi-structured interviews with 4 clinicians and 11 Veterans.
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