Publications

Spontaneous Scaling of a Primary Care Innovation in Real-Life Conditions: Protocol for a Case Study

This study aims to document and analyze how a primary care innovation spreads spontaneously in real-life conditions in Quebec.
November 12, 2025

In 2023, the article “Spontaneous Scaling of a Primary Care Innovation in Real-Life Conditions: Protocol for a Case Study” was published. Several members of our unit are part of the team that wrote it.

  • France Légaré
  • Diogo G. V. Mochcovitch
  • Roberta de Carvalho Corôa
  • Amédé Gogovor
  • Ali Ben Charif
  • Cynthia Cameron
  • Annie Plamondon
  • Marie Cimon
  • Sabrina Guay-Bélanger
  • Geneviève Roch
  • Maxine Dumas Pilon
  • Jean-Sébastien Paquette
  • Robert K. D. McLean
  • Andrew Milat

Légaré F, G V Mochcovitch D, de Carvalho Corôa R, Gogovor A, Ben Charif A, Cameron C, Plamondon A, Cimon M, Guay-Bélanger S, Roch G, Dumas Pilon M, Paquette J, McLean R, Milat A
Spontaneous Scaling of a Primary Care Innovation in Real-Life Conditions: Protocol for a Case Study
JMIR Res Protoc 2023;12:e54855
URL: https://www.researchprotocols.org/2023/1/e54855
DOI: 10.2196/54855

Context

Scaling up effective innovations in primary care is a priority for public policy makers to maximize their impact. However, little data exists on “spontaneous” scaling processes—that is, scaling efforts carried out without formal oversight. This study aims to document and analyze how a primary care innovation spreads spontaneously under real-life conditions in Quebec.

Method

The authors propose a descriptive case study of a promising innovation identified through the “Dragons’ Table” program of the Quebec College of Family Physicians. Monthly interviews with the innovation team and focus groups with public policy makers, care providers, and citizens will be conducted over one year. The collected data will be compared to scaling principles found in the scientific literature.

Results

Funding for the study was secured in March 2020 from the Canadian Institutes of Health Research. Recruitment began in November 2023, and data collection started in December 2023. Results are expected in the first quarter of 2024.

Conclusion

This study will contribute to advancing the science of scaling by providing concrete evidence on the diffusion processes of health and social care innovations in real-world settings.