Tel.: 514-398-8483
Pierre Pluye, MD, PhD
Senior Investigator, Centre for Clinical Epidemiology and Community Studies, Lady Davis Institute
Professor, Department of Family Medicine, McGill University

Pierre Pluye is FRQS Senior Research Scolar , Full Professor, Department of Family Medicine (McGill University), and Director of Methodological Developments for the Québec SUPPORT Unit. He is an Associate Member of the School of Information Studies (McGill), the Centre for Clinical Epidemiology (LDI, McGill), and the Centre interuniversitaire de recherche sur la science et la technologie (CIRST, UQAM). Pierre has worked as a General Practitioner in France, and he is a specialist in Public Health and Social Medicine (PhD in Public Health & Health Promotion, Université de Montréal). He obtained New Investigator Awards from the Canadian Institutes of Health Research (CIHR) and the Fond de la recherche du Québec - Santé (FRQS). He has expertise in mixed methods research and complex literature reviews such as mixed studies reviews (including quantitative, qualitative and mixed methods studies). His current CIHR-funded studies examine the use of information derived from electronic knowledge resources (email delivery, information retrieval, social media) and subsequent patient and consumer health benefits.
Major Research Activities

Information use; information assessment methods; clinical mediated communication; clinical information retrieval technology; brief individual e-learning activities; continuing professional development; mixed methods research; mixed methods appraisal tool; and systematic mixed studies reviews.

Recent Publications

Pluye P, & Hong QN (2014). Combining the power of stories and the power of numbers: Mixed methods research and mixed studies reviews (invited paper). Annual Review of Public Health, 35:29-45. DOI: 10.1146/annurev-publhealth-032013-182440; PMID: 24188053 [PubMed]; Complimentary online access:

Pluye P, Granikov V, Bartlett G, Grad RM, Tang DL, Johnson-Lafleur J, Shulha M, Galvão MC, Ricarte I, Stephenson R, Shohet L, Hutsul J-A, Repchinsky C, Rosenberg E, Burnand B, Légaré F, Dunikowski L, Murray S, Boruff J, Frati F, Kloda L, Macaulay AC, Lagarde F, & Doray G (2014). Development and content validation of the Information Assessment Method for patients and consumers. Journal of Medical Internet Research (JMIR) - Research Protocols, 3(1):e7. DOI: 10.2196/resprot.2908; PMID: 24550180 [PubMed] ; Free full-text:

Pluye P, Grad RM, Johnson-Lafleur J, Granikov V, Shulha M, Marlow B, & Ricarte I (2013). The Number Needed to Benefit from Information (NNBI): Proposal from a mixed methods research study with practicing family physicians. Annals of Family Medicine. 11(6):559-67. DOI: 10.1370/afm.1565; PMID: 24218380 [PubMed] ;Free full-text:
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