Since the foot-and-mouth disease outbreak of 2001 in the United Kingdom, there has been debate about the sharing, between government and industry, both the costs of livestock disease outbreaks and responsibility for the decisions that give rise to them. As part of a consultation into the formation of a new body to manage livestock diseases, government veterinarians and economists produced estimates of the average annual costs for a number of exotic infectious diseases. In this article, we demonstrate how the government experts were helped to quantify their uncertainties about the cost estimates using formal expert elicitation techniques. This has enabled the decisionmakers to have a greater appreciation of government experts' uncertainty in this policy area.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1539-6924.2011.01704.x | DOI Listing |
Expert Rev Pharmacoecon Outcomes Res
January 2025
IQVIA, Durham, NC.
Introduction: The 2022 Inflation Reduction Act (IRA) is expected to result in lower drug prices for Medicare beneficiaries in the United States (US). The Centers for Medicare & Medicaid Services (CMS) released the most recent draft guidance for the Medicare Drug Price Negotiation (DPN) program in May 2024.
Areas Covered: In August 2023, the list of 10 drugs selected for the DPN were published and the first round of negotiations are now complete.
Diagnostics (Basel)
January 2025
Research Center on Thromboembolic Diseases and Antithrombotic Treatment, Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy.
Deep venous thrombosis (DVT) is a pathological condition that develops when a thrombus forms within the deep venous system. Typically, it involves the lower limbs and, less frequently, the upper extremities or other unusual districts such as cerebral or splanchnic veins. While leg DVT itself is rarely fatal and occasionally can lead to limb-threatening implications, its most fearsome complication, namely pulmonary embolism, is potentially fatal and significantly contributes to increased healthcare costs and impaired quality of life in affected patients and caregivers.
View Article and Find Full Text PDFGynecol Obstet Fertil Senol
January 2025
Department of Obstetrics and Gynaecology, Hôpital Saint Joseph, Marseille, France; Image2 center, Marseille, France. Electronic address:
The management of a fetus suspected of having a variation in genital development is a complex situation. In cases of complete discordance or an unusual appearance of the external genitalia (EG), management always begins with a diagnostic morphological ultrasound. This ultrasound aims to provide detailed imaging of the EG and internal genitalia (IG), focusing on identifying the presence of Müllerian derivatives and detecting any associated malformations.
View Article and Find Full Text PDFEur Stroke J
January 2025
Row Fogo Centre for Research into Ageing and the Brain, and UK Dementia Research Institute, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Purpose: Cerebral small vessel disease (cSVD) is a highly prevalent disorder leading to physical, cognitive and functional decline. We report key barriers in the management of individuals with cSVD, the potential benefit of cSVD-dedicated health services, and evidence from existing models of care for adults with cSVD.
Methods: We examined information from a scientific seminar developed between seven experts in cSVD during the eighth European Stroke Organisation Conference that discussed the optimal health care for adults with cSVD and what health services dedicated to cSVD should include.
Comput Med Imaging Graph
January 2025
University of Electronic Science and Technology of China, Chengdu, Sichuan, China. Electronic address:
In this study, we developed an Evidential Ensemble Neural Network based on Deep learning and Diffusion MRI, namely DDEvENet, for anatomical brain parcellation. The key innovation of DDEvENet is the design of an evidential deep learning framework to quantify predictive uncertainty at each voxel during a single inference. To do so, we design an evidence-based ensemble learning framework for uncertainty-aware parcellation to leverage the multiple dMRI parameters derived from diffusion MRI.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!