Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it can offer to health care administrators.
Canada’s northern communities are particularly vulnerable to infectious disease because of social determinants of health plus their widespread harvesting of wildlife. The current COVID-19 pandemic is of particular concern to northern peoples and governments since their food security and livelihood needs are often directly dependent on the human-animal interface, at which COVID-19 can transmit in both directions.
Proper education and training are necessary to ensure young drivers have the appropriate knowledge and skills to drive safely. The current Saskatchewan Government Insurance (SGI) graduated licensing program has education components and some in-car practice sessions, however, data shows that many young drivers are still involved in accidents due to a lack of experience driving in difficult or challenging situations.
As COVID-19 rapidly spreads across Canada, the morbidity and mortality rates are likely to follow the same patterns as H1N1, and be significantly higher in First Nation, Inuit and Métis (FNIM) populations compared to non-Indigenous Canadians. Thus, there exists an urgent and currently unmet need to track and respond to incidences of COVID-19 in these populations. Any effort to do so will need to bridge persistent gaps in Indigenous health information system infrastructure while also acknowledging distinct, nation-based FNIM data sovereignty.
The coronavirus disease, COVID-19, has rapidly changed the way we live and work. Across Canada, many non-essential workplaces were directed to suspend normal operations and, though the pandemic continues, these restrictions are slowly being lifted, and workers are returning to work.
Inhalation of Respirable Crystalline Silica (RCS) generated during construction activities such as cutting or grinding can cause lung cancer and the irreversible lung disease. Exposure to RCS is common on construction sites because silica is a naturally occurring mineral that is present in many construction materials. The Silica Control Tool is a risk assessment tool that was developed by the BC Construction Safety Alliance and the University of British Columbia to assist construction employers to create exposure control plans for managing the health risks of RCS on construction worksites.
The project aims to research and develop the most effective way for making COVID 19 guidelines into measurable actions for organizations. This research will enhance Diversio’s Audit tool in two parallel tracks: 1) Methodology for developing sector- and region-specific compliance surveys, translating those survey responses into a scoring methodology, and 2) Technology for automating the process of converting survey responses into a real-time dynamic information dashboard.
People with the autoimmune disease scleroderma are vulnerable in COVID-19 due to frailty, lung involvement, and immunosuppression; they are representative of vulnerable groups in terms of COVID-19 mental health ramifications. No previous randomized controlled trials have tested mental health interventions during infectious disease outbreaks. We leveraged our existing ongoing cohort of over 2,000 people with scleroderma and existing partnerships to launch a new cohort, the Scleroderma Patient-centered Intervention Network (SPIN)-COVID- 19 Cohort.
According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities.
The proposed project is for the postdoctoral fellow to access healthcare data for individual adults in the province of Manitoba in order to: 1) determine the rates of metabolic acidosis in Manitoba along with associated outcomes and risk factor profiles and 2) identify patients in Manitoba who are at high risk of Fabry disease but currently undiagnosed in order to facilitate disease screening and improve patient care.