
MSSU launches line of rapid evidence products
The MSSU is a key source of support for people with evidence synthesis needs in the Maritimes. Evidence synthesis is an integral piece of the research life cycle, allowing researchers

The MSSU is a key source of support for people with evidence synthesis needs in the Maritimes. Evidence synthesis is an integral piece of the research life cycle, allowing researchers

Today, the Myeloma Priority Setting Partnership (Myeloma PSP) has launched their second survey to determine a top 10 list of priority questions. This survey allows the opportunity for participants, including people with

The MSSU is pleased to welcome Dr. Jason Hickey as the Science Lead for Indigenous Allyship and Engagement.

The New Brunswick Institute for Research, Data and Training (NB-IRDT) and the Maritime SPOR SUPPORT Unit (MSSU) developed a series of Rapid Response Reports to provide provincial government decision makers

The MSSU is pleased to welcome two new Science Leads, Drs. Katie Aubrecht and Natalie Rosen, who will provide leadership, expertise and support for research and training in Equity, Diversity


The Maritime SPOR SUPPORT Unit has introduced a new Patient Partner Compensation and Reimbursement Policy. The policy sets out procedures for compensating Patient Partners for their involvement in MSSU activities

The New Brunswick Health Research Foundation (NBHRF) and the Maritime SPOR SUPPORT Unit (MSSU) are pleased to announce the 2020-2021 NBHRF & CIHR-SPOR-MSSU Studentship/Fellowships Awardees. The NBHRF & CIHR-SPOR-MSSU Studentship/Fellowships provide financial

The Maritime SPOR SUPPORT Unit (MSSU) has released a rapid literature review about palliative and end-of-life care during pandemics. The report summarizes recommendations and practices drawn from experiences providing end-of-life care

The New Brunswick Institute for Research, Data, and Training’s (NB-IRDT) 10-day COVID-19 outcome model shows New Brunswick is currently tracking towards a best-case scenario outcome, according to data as of