Objectives: Celiac disease (CD) is thought to affect around 1% of people in the United Kingdom, but only approximately 30% are diagnosed. The aim of this work was to assess the cost-effectiveness of strategies for identifying adults and children with CD in terms of who to test and which tests to use.
Methods: A decision tree and Markov model were used to describe testing strategies and model long-term consequences of CD.
Background: Creative methods/practices have been highlighted as helpful to develop more collaborative, equitable research partnerships between researchers and communities/public-participants. We asked artist partners to design four online workshops, one on each research priority area: school environments and mental health; wellbeing within the Somali community; air pollution; health data. We aimed to understand whether creative processes can enable public-participants and researcher- participants to meet in a neutral space to discuss a research theme and begin to build collaborative relationships through more equal engagement.
View Article and Find Full Text PDFThroughout the coronavirus pandemic, references to scientific findings have permeated public-facing communications. Understanding how members of the public view science, scientists and scientific uncertainty should enhance approaches to communication and individuals' decisions to engage with public health measures, including restrictions and vaccination programmes. A survey was conducted on our behalf by YouGov in November 2020.
View Article and Find Full Text PDFIntroduction: Coeliac disease (CD) is a systemic immune-mediated disorder triggered by gluten in genetically predisposed individuals. CD is diagnosed using a combination of serology tests and endoscopic biopsy of the small intestine. However, because of non-specific symptoms and heterogeneous clinical presentation, diagnosing CD is challenging.
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