This editorial serves as an introduction to Media and Communication’s thematic issue Policy Framing and Branding in Times of Constant Crisis. Crises cast challenges for political actors and... Show moreThis editorial serves as an introduction to Media and Communication’s thematic issue Policy Framing and Branding in Times of Constant Crisis. Crises cast challenges for political actors and concurrently create opportunities for policymaking, public reflections, and political competition. In times of crisis, when it comes to communicating policymaking but also framing the crisis itself, issues close to political communication (including political marketing and political branding) become of paramount relevance. The eight articles of this issue cover a broad array of subjects, expanding the understanding of the relevance of communication when it comes to policymaking in times of crisis, through the lens of policy framing and policy branding. Show less
Rakers, M.; Vijver, S. van de; Bossio, P.; Moens, N.; Rauws, M.; Orera, M.; ... ; Villalobos-Quesada, M. 2023
Background: eHealth offers opportunities to improve health and healthcare systems and overcome primary care challenges in low-resource settings (LRS). LRS has been typically associated with low-... Show moreBackground: eHealth offers opportunities to improve health and healthcare systems and overcome primary care challenges in low-resource settings (LRS). LRS has been typically associated with low- and middle-income countries (LMIC), but they can be found in high-income countries (HIC) when human, physical or financial resources are constrained. Adopting a concept of LRS that applies to LMIC and HIC can facilitate knowledge interchange between eHealth initiatives while improving healthcare provision for socioeconomically disadvantaged groups across the globe.Objectives: To outline the contributions and challenges of eHealth in low-resource primary care settings.Strategy: We adopt a socio-ecological understanding of LRS, making LRS relevant to LMIC and HIC. To assess the potential of eHealth in primary care settings, we discuss four case studies according to the WHO 'building blocks for strengthening healthcare systems'.Results and discussion: The case studies illustrate eHealth's potential to improve the provision of healthcare by i) improving the delivery of healthcare (using AI-generated chats); ii) supporting the workforce (using telemedicine platforms); iii) strengthening the healthcare information system (through patient-centred healthcare information systems), and iv) improving system-related elements of healthcare (through a mobile health financing platform). Nevertheless, we found that development and implementation are hindered by user-related, technical, financial, regulatory and evaluation challenges. We formulated six recommendations to help anticipate or overcome these challenges: 1) evaluate eHealth's appropriateness, 2) know the end users, 3) establish evaluation methods, 4) prioritise the human component, 5) profit from collaborations, ensure sustainable financing and local ownership, 6) and contextualise and evaluate the implementation strategies. Show less
We report a patient with a 5-year diagnosis of akinetic-rigid Parkinson's disease under treatment with Levodopa-Carbidopa Intestinal Gel therapy through a PEG-J tube due to motor complications, in... Show moreWe report a patient with a 5-year diagnosis of akinetic-rigid Parkinson's disease under treatment with Levodopa-Carbidopa Intestinal Gel therapy through a PEG-J tube due to motor complications, in which, in the context of a clinical study, we successfully and safely administered fecal microbiota transplant through a PEG-J. Show less
Viruses, the diseases they can trigger, and the possible associated societal disaster represent different entities. To engage with the complexities of viral pandemics, we need to recognize each... Show moreViruses, the diseases they can trigger, and the possible associated societal disaster represent different entities. To engage with the complexities of viral pandemics, we need to recognize each entity by using a distinctive name. Show less
Trouillas, J.; Burman, P.; Losa, M.; McCormack, A.; Petersenn, S.; Popovic, V.; ... ; Raverot, G. 2023
Patients with a bicuspid aortic valve have an extreme high risk to develop a thoracic aortic aneurysm and dissection (TAAD). TAADs form a leading cause of death worldwide, with the majority of... Show morePatients with a bicuspid aortic valve have an extreme high risk to develop a thoracic aortic aneurysm and dissection (TAAD). TAADs form a leading cause of death worldwide, with the majority of deaths be-ing preventable if individuals at risk are identified and properly managed. Risk stratification for TAADs in bicuspidy is so far solely based on the aortic diameter. Exclusive use of aortic wall dimension, as in the current guidelines, is however not sufficient in selecting patients vulnerable for future aortic wall complications. Moreover, there are no effective medical treatments for TAADs to retain progressive aortic dilatation and thus prevent or delay aortic complications. Only surgical replacement of the aorta increases life expectancy in patients with a risk for a TAAD. Therefore, the next major challenge in the manage-ment of TAADs is the development of a personalized patient-tailored risk stratification for early detection of patients with an increased risk for TAADs, who will benefit from surgical resection of the aorta. Sev-eral signaling pathways have been studied in recent times to develop a patient specific risk stratification model. In this paper we discuss TGF-,B signaling and downstream signalers as potential markers for fu-ture aortic complications in bicuspid aortic valve patients.(c) 2022 Elsevier Inc. All rights reserved. Show less
The medical research literature is abundant with regression analyses that include multiple covariates, so-called multivariable regression models. Despite their common application, the... Show moreThe medical research literature is abundant with regression analyses that include multiple covariates, so-called multivariable regression models. Despite their common application, the interpretation of their results is not always clear or claimed interpretations are not justified. To outline the distinctions between different interpretations, we describe several possible research objectives for which a multivariable regression analysis might be an appropriate way of analyzing the data. In addition, we describe caveats in the interpretation of results of multivariable regression analysis. Show less