Maida Sewitch, PhD
Research Institute of the McGill University Health Centre
Regular Member Health Outcomes
McGill University Health Centre (MUHC)
Medical Scientist, Divisions of Gastroenterology and Clinical Epidemiology
Associate Member, Department of Epidemiology, Biostatistics and Occupational Health
My research focuses on gastroenterology diseases clinical and population-based research in Québec and across Canada. My research has focused on adherence to guidelines in patient and physician populations, and, more recently, on colonoscopy services quality. My research activities address the utilization of preventive health services for colorectal cancer, the enhancement of methods in colorectal cancer screening research, the evaluation of the safety and quality of screening colonoscopy, and the development of a national strategy for colorectal cancer screening.
- adherence to guidelines
- colorectal cancer screening
- doctor-patient relationship
adherence to guidelines, epidemology, colorectal cancer, screening
Sewitch MJ, Hilsden R, Joseph L, Rabeneck L, Paszat L, Bitton A, Cooper M-A. (2012). Qualitative study of physician perspectives on classifying screening and non-screening colonoscopy using administrative health data: adding practice does not make perfect. Canadian Journal of Gastroenterology, 26(12);889-893.
Sewitch MJ, Jiang M, Barkun AN, Armstrong D, Manca D, Rossos P, Stein B, Meeting Attendees. (2012). Report on the expert forum on using information technology (IT) to facilitate uptake and impact of colorectal cancer screening guidelines. Canadian Journal of Gastroenterology, 26(12):902-904.
Sewitch MJ, Dubé C, Brien S, Jiang M, Hilsden R, Barkun A, Armstrong D. (2013). Patient-identified quality indicators for colonoscopy services. Canadian Journal of Gastroenterology, 27(1);25-32.
*Jiang M, Sewitch MJ, Barkun AN, Joseph L, Hilsden R. (2013). Endoscopist specialty is associated with colonoscopy quality. BMC Gastroenterology, 13:78.
Sewitch MJ, Jiang M, Joseph L, Hilsden R, Bitton A. (2013). Developing model-based algorithms to identify screening colonoscopies using administrative health databases in the absence of a gold-standard. BMC Medical Informatics and Decision Making, 13:45.