How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
Dr. Sawatzky leads a program of research on the validation and use of person-centred health outcomes measures and quality of life assessment instruments, with a particular emphasis on people who are living with chronic life-limiting illnesses. Examples include research on: 1) statistical methods for validation and use of patient-reported outcomes measures, 2) tailored people-centred health measurement, 3) quality of life assessment, and 4) person-centred outcomes for healthcare decision making.
The overall purpose of this research is to develop and implement statistical methods that will contribute to valid, reliable, and comparable patient-reported outcomes data for decision making. The research aims to: (1) develop and compare procedures to test for differential item functioning (DIF) and response shift (RS) in PROMs data using models that combine Item Response Theory (IRT) and latent class methods, and (2) develop, implement and evaluate knowledge translation resources to facilitate use and understanding of these methods among statisticians and health researchers, clinicians, healthcare analysts, decision-makers, and patients.