Back to Blog
Research practice collaboratory6/11/2023 ![]() LTO-Aim 1: Compare VHA patients infected and uninfected with SARS-CoV-2 on outcomes that can be measured in electronic health records and claims datasets, such as mortality, hospital readmissions, new and exacerbated conditions, and new mental health conditions.By triangulating a range of data sources, the LTO will: The LTO will be responsible for carrying out a rigorous mixed methods study of the long-term effects of SARS-CoV-2 infection on Veterans, with support from the CC. CC-Aim 5: Describe incidence and predictors of key long-term adverse outcomes and manifestations of SARS-CoV-2 infection.CC-Aim 4: Understand the medical and non-medical effects of SARS-CoV-2 by comparing clinical, economic, and patient- reported outcomes between SARS-CoV-2 infected and uninfected VHA patients.CC-Aim 3: Provide methodologic guidance and support to VA investigators and operational partners.CC-Aim 2: Generate and disseminate documentation of matched comparators, exposures, outcomes, and covariates.CC-Aim 1: Develop a data infrastructure to support dynamic analytic datasets of SARS-CoV-2 infected and uninfected comparator cohorts that will facilitate research on a broad range of VHA health record-based outcomes.The 3 pillars of the CC are a Data Core, Methods Core, and Partnerships Core, which will work together to carry out the following aims: To improve Veteran’s health by conducting and supporting rigorous research to understand the long-term effects of SARS-CoV-2 infection while fostering research collaborations within and outside of the Department of Veterans Affairs. Federal-wide Research Performance Progress Report.Find VA-sponsored clinical trials near you.Alzheimer's Disease and Related Dementias.NIH Manuscript Submission for VA Investigators.ORD VHA Directives, Handbooks, and Program Guides.VA Informatics and Computing Infrastructure (VINCI).VA SHIELD (Central Biospecimen and Data Repository).Gulf War Veterans' Illnesses Biorepository.VA Electronic Determination Aid (VAEDA).VA Innovation and Research Review System (VAIRRS).Office of Research Protections, Policy, and Education (ORPP&E).National Artificial Intelligence Institute (NAII). ![]() Diversity, Equity, and Inclusion Initiative (DEI).Centralized Interactive Phenomics Resource (CIPHER).Center for Data & Computational Science (C-DACS).Letters and Op-eds Concerning VA Research with Animals.National Academy of Sciences Assessment.Currently Approved VA Protocols for Research.Distinguished Medical Research Scientist.COVID-19 Observational Research Collaboratory.(2002), "Collaborative practice research", Information Technology & People, Vol. Concludes with a discussion of the implications for the relation between research and practice within the systems development discipline and with lessons on how to design research efforts as collaborations between researchers and practitioners. Argues that collaborative practice research offers one practical way to strike a useful balance between relevance and rigour. Exemplifies the use of pluralist research methodology by combining action research with experiments and conventional practice studies. Proposes collaborative practice research as a way to organise and conduct research into systems development practice based on close collaboration between researchers and practitioners. Uses the case to reflect on the research goals, approaches, and results involved in this tradition for researching systems development practice. Describes and evaluates a specific research project in which a large group of researchers and practitioners worked together to understand, support, and improve systems development practices in four organisations over a period of three years. Reports from a systems development research tradition in which emphasis is put on relating research activities to practice and on establishing fruitful collaboration between groups of researchers and practitioners.
0 Comments
Read More
Leave a Reply. |