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Tailored EPHM Application:
Mixture-CAT

Learn about our mixture computerized adaptive testing (mixture-CAT) application for tailored patient-reported outcome (PRO) measurements by integrating information about SDOH in diverse populations.

Health surveys often use the same questions for everyone. This works well for some people but not for everyone, because people from diverse cultures, traditions, and life experiences may understand and interpret questions differently. To address this issue, we are developing and evaluating a novel application, called mixture-CAT, for tailoring PRO measurements to each person.

 Read Novel Methods for EPHM research project summary

Infographic showing process flow of People-Centered Healthcare

It was important for us to first understand how people with diverse experiences and backgrounds answer the same questions, through a process called ‘calibration’. From this, we learned which questions were most relevant to each person.

Together with patient partners, we created a short EPHM Online Survey Report that provides a summary of participants and some results from the online survey answered by more than 11,000 people in Canada in 2023.

A list of presentations is available under Publications and Presentations by Our Team.


The current stage of the project builds on the previous objective by comparing the performance of the different measurement tools. More information is available on the survey information page. A summary of the project progress will be available shortly.


The final part of the project seeks to understand how different measures adequately reflect peoples’ experiences of pain and wellbeing. We further aim to create and refine tailored resources that help understand the concept of tailored health measurement tools, i.e., Equitable People-Centred Measurement.


Background

Recorded Project Presentations

Project Publications

  •  Falk, C.F., Ilagan, M. J., Verdam, M. G. E., Sawatzky, R. (2024, July 16-19), Bot detection: Simulations and application in people-centered health measurement surveys with missing data. Paper presentation (2025, July 29), published in Open Review.net. 89th Annual International Meeting of the Psychometric Society, Prague, Czech Republic. doi:10.64028/idns583103

Our Team

Principal investigators: R. Sawatzky (principal investigator); L. Cuthbertson and L. Templeton (knowledge user), L. Lix, M. Santana, A. Salmon, K. Schick-Makaroff, S. Zelinsky (patient partner), B.D. Zumbo.

Patient Partners: K. Giroux, T. Flynn, D. Williams, J. Bennett, R. Hovey, C. Ballantyne, A. Maybee.

Co-investigators: M. Antonio, S. Clelland, K. Courtney, C. Falk, A. Gadermann, J. Jackson, S. Klarenbach, J. Kopec, J-Y. Kwon, F. Lau, J. Liu, A. Mehdipour, J. O’Rourke, A. Pinto, P. Ratner, L. Russell, T. Sajobi, J. Sorensen, C. Son, M. Verdam, A. Wolff, H. Wong.

International investigators: J. Evans, F. Fischer, C. Gibbons, M. Hawkins, J. Öhlén, J. Valderas.

Collaborators: B. Forde (Technology Partner – Cambian); C. Beach S (Fraser Health Authority); Lorraine Grieves (Provincial Health Services Authority – Trans Care BC), Roland Simon (Health Quality Alberta)

Personnel: C. Berendonk, A. Bitchy, M. Kuo, M. Moynihan, A. Sasaki, M. Wu

Trainees: E. Berhan, J. Stacey, M. Suzuki, N. Wiebe