Monitoring and tracking social inequalities in the burden of diabetes over time can help to assess whether Canadian diabetes strategies are effective at reaching marginalized populations and mitigating inequalities. Our results signal the need for interventions to address growing social inequalities in Canada with regard to type 2 diabetes, particularly among women.

Background: Program decision-making to prevent and treat acute malnutrition in an emergency can be hampered by a lack of accessible and relevant overviews of directly available robust research evidence. There is often evidence from related settings such as from low-income countries, but this is dispersed across many databases, may be inaccessible and requires assessment of its relevance to the humanitarian setting. We describe a process whereby a multidisciplinary , international group of specialists worked together to build relevant and effective collections of available systematic reviews on acute malnutrition, published and disseminated as online collections, to improve access to the evidence and concise, synthesised, relevant up to date evidence for programming. By describing this process, we hope to inspire other professional groups to take part in similar multi-stakeholder, multidisciplinary projects. Objectives: This project was designed to make the evidence from relevant systematic reviews about malnutrition as accessible as possible to support evidence-based decision-making and to guide future research on the prevention and treatment of acute malnutrition in humanitarian emergencies. Methods: Between March 2017 and March 2018, a large group (21 volunteers and stakeholders) with different backgrounds collaborated to review and curate collections of systematic reviews of interventions for the prevention and treatment of moderate and severe acute malnutrition relevant to humanitarian emergencies. The methodology loosely followed general guidance for overviews of systematic reviews with a pre-defined question (formulated using the PICOS format) and search strategies applied to multiple databases. Pairs of collaborators first screened the search yields to identify potentially eligible reviews, where after other pairs screened the list of potentially eligible reviews for relevance and thus included in the final collections.