Statistical Methods for Patient-Reported Outcomes

A fundamental assumption of patient-reported outcomes (PRO) measurement is that all individuals interpret questions about their health status in a consistent manner, such that a measurement model can be constructed that is equivalently applicable to all people in the target population. The related assumption of sample homogeneity has been assessed in various ways, including the many approaches to differential item functioning analysis. This project examines latent class item response theory models identifying subgroups of patients who respond different to PRO measures cross-sectionally and longitudinally. 

This project is a national collaboration with several PRO methodologists including 

Dr. Lisa Lix (University of Manitoba)

Dr. Rick Sawatzky (Trinity Western University)

Dr. Juxin Liu  (University of Saskatchewan)

Dr. Nancy Mayo (McGill University)

Bruno Zumbo (University of British Columbia)

Doctor and Patient


Person-centered care is fundamental to high-quality health systems because it improves experiences people have with care, better aligns health services delivery with individual needs. This is achieved by integrating clinical data with both objectively collected patient reported outcomes (PROMs) and patient reported experiences (PREMs), which quantify the subjective aspects of a person’s health status and their experience with processes of care. Unfortunately, PROMs and PREMs in individuals living the cardiovascular disease are still generally collected through telephone and paper-based surveys in Alberta as outcomes in research studies. Although there are well developed and validated PROMs and PREMs for cardiovascular disease, there is a lack of electronic platform for collecting and reporting these measures back to care providers and patients so that they can use them to improve quality and outcomes of care in Alberta. This CIHR-funded study will develop an electronic platform needed to facilitate deployment of an electronic PROMs and PREMS system for cardiovascular disease into routine clinical settings

Project PI: Drs Tolu Sajobi, Stephen Wilton, Michelle Graham


Response Shift in Sync

An international consortium of methodologists and experts investigating and updating evidence on the impact of response shift (a form of adaptation) on the assessment of longitudinal change in patient-reported outcomes  Members of the sRMDA Lab (Dr Sajobi, Anita Brobbey, and Seyi Lawal) are leading a meta-analysis to support this international collaborative efforts