JMIR Research Protocols (Dec 2023)

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

  • 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

DOI
https://doi.org/10.2196/54855
Journal volume & issue
Vol. 12
p. e54855

Abstract

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BackgroundScaling effective primary care innovations to benefit more people is of interest to decision makers. However, we know little about how promising innovations are being scaled “spontaneously,” that is, without deliberate guidance. ObjectiveWe aim to observe, document, and analyze how, in real-life conditions, 1 primary care innovation spontaneously scales up across Quebec, Canada. MethodsWe will conduct a participative study using a descriptive single-case study. It will be guided by the McLean and Gargani principles for scaling and reported according to the COREQ (Consolidated Criteria for Reporting Qualitative Research) guidelines. Informed by an integrated knowledge translation approach, our steering committee will include patient users throughout the project. Inspired by the Quebec College of Family Physician’s “Dragons’ Den” primary care program, we will identify a promising primary care innovation that is being or will be scaled spontaneously. We will interview the innovation team about their scaling experiences every month for 1 year. We will conduct interviews and focus groups with decision makers, health care providers, and end users in the innovation team and the target site about their experience of both scaling and receiving the scaled innovation and document meetings as nonparticipant observers. Interview transcripts and documentary data will be analyzed to (1) compare the spontaneous scaling plan and implementation with the McLean and Gargani principles for scaling and (2) determine how it was consistent with or diverged from the 4 McLean and Gargani guiding principles: justification, optimal scale, coordination, and dynamic evaluation. ResultsThis study was funded in March 2020 by the Canadian Institutes of Health Research. Recruitment began in November 2023 and data collection began in December 2023. Results are expected to be published in the first quarter of 2024. ConclusionsOur study will advance the science of scaling by providing practical evidence–based material about scaling health and social care innovations in real-world settings using the 4 guiding principles of McLean and Gargani. International Registered Report Identifier (IRRID)PRR1-10.2196/54855