Technical Tools

The technical tools are, for the most part, web-based applications designed to provide faster access to up-to-date information for the evaluation and continuous improvement of services.

Dynamic Description of Health and Social Services (FR: DDS)

Web application offering a dynamic description of front-line health and social services in Quebec

This interactive application provides an integrated and up-to-date vision of front-line health services in Quebec. Developed in response to a need expressed by researchers, managers, patient partners and practitioners, the DDS is a tool for the evaluation and continuous improvement of services.

Authors: Kilpatrick (UdM) & Pluye (McGill)

Link: https://ddsquebec.cirano.qc.ca (French only)


Automated Text Classifier of Empirical Research (ATCER)

Web classifier that automatically selects scientific publications (producing a qualitative or quantitative data collection-analysis or both) to speed up mixed rapid reviews

This application is intended to facilitate the work of policy makers, information specialists, researchers and graduate students who plan and conduct mixed literature reviews (literature reviews that include qualitative, quantitative and mixed-method studies). This tool categorizes studies as “scientific” vs. “non-scientific”. ATCER allows one to save time and resources when selecting studies.

Authors: El Sherif (McGill) & Nie (UdM)

Link: https://atcer.iro.umontreal.ca/index


Collaborative monitoring system of trends in patient-oriented research (eSRAP)

Web platform for collaborative monitoring of trends in patient-oriented research (eSRAP) (3 versions: eSRAP-summaries, -comments and -interactions)

eSRAP is a collaborative monitoring platform designed to help communities interested in a topic (including researchers, clinicians, decision-makers and patient partners) to stay up to date on the latest scientific publications on that topic. eSRAP facilitates the selection of relevant publications and access to selected publications. eSRAP aims to optimize the sharing of monitoring efforts and knowledge, and ultimately to democratize monitoring.

Authors: Tang et al (NRC & McGill)

Link: eSRAP
Tutorial: (English)/ Tutoriel: (Français)


Patient Reported Outcomes Measurement Information System (PROMIS®)

The Patient Reported Outcomes Measurement Information System (PROMIS®) is a set of person-centered measures to assess how people feel and function.

“Patient-reported outcome measures (PROMs) are questionnaires measuring the patients’ views of their health status” (Kingsley & Patel, 2017).

PROMIS uses advances in information technology, psychometrics, and qualitative, cognitive, and health survey research to measure patient reported outcomes such as pain, fatigue, physical function, emotional distress, and participation that have a major impact on quality-of-life across chronic diseases. Self reported and parent-reported measures in adults and children are available.

Our component’s initiative in connection with the PROMs was to translate them into French, respecting the standards of transcultural adaptation and the rigor necessary to preserve the psychometric properties of the PROMs. Here is a list of the PROMs that have been translated (https://www.mcgill.ca/can-pro-network/french-translations-0).

French versions of many measures are available by contacting [email protected] or [email protected].  To request any other language, please contact [email protected].  Note that French and other available languages are subject to a distribution fee.

Please note that PROMIS measures cannot be translated without permission. Be sure read the Terms and Conditions of Use here for more information.

Link: PROMIS-Canada, PROMs translated into French

Do not hesitate to contact us ([email protected]) if you have specific needs in terms of PROMs.

Data Valorization Axis
of the Unité de soutien SSA | Québec


Department of Family Medicine
5858, chemin de la Côte-des-Neiges
3rd floor
Montréal, Quebec H3S 1Z1
Phone: (514) 399-9134
[email protected]

Quick links
Unité de soutien SSA | Québec
Canadian Institutes of Health Research (CIHR)
McGill | Department of Family Medicine

© 2019 Data Valorization Axis of the Unité de soutien SSA Québec