Welcome to the

McGill Centre for Health Measurement!

Ensuring patient and family voices are heard and their perspectives are respected.

More About the MCHM!

Our Team

Find out more about the McGill Centre for Health Measurement, our history, and our partnerships.


We are currently conducting a number of studies on development, psychometric evaluation, and implementation of PROs both locally and internationally.


We have created several resources for you and we’re happy to share them with you!

PROMIS™ Canada

The Patient Reported Outcomes Measurement Information System (PROMIS®) is a set of person-centered measures to assess how people feel and function. PROMIS® uses advances in psychometrics, information technology and qualitative, cognitive, and health survey research to measure more than 500 different symptoms and functional impacts across chronic diseases that impact quality of life. PROMIS patient-reported outcomes (PROs) are available for children and adults.

PROMIS® measures are available as item banks for computer adaptive testing (CAT) or static fixed length short forms (SF).

PROMIS® Canada is an initiative to help make PROMIS® measures accessible to Canadian researchers, health care providers, and policy makers. PROMIS® Canada is led by Drs. Susan Bartlett and Sara Ahmed, and based at McGill University

Learn more about PROMIS® by visiting promishealth.org

Latest News

Check here for new articles and resources and upcoming events.

The FATIGUE-PRO: a new patient-reported outcome instrument to quantify fatigue in patients affected by systemic lupus erythematosus

By |August 9th, 2022|Categories: Publications|Tags: , , , |

The objective of this study was to develop a new PRO instrument to measure fatigue in SLE that addresses the conceptual [...]

PROM feedback can lead to moderate improvements in communication between healthcare professionals and patients as well as in diagnosis, and quality of life.

By |October 12th, 2021|Categories: Publications|Tags: , , , |

The aim of this Cochrane Review was to find out whether healthcare workers who receive information from questionnaires [...]

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