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STUDY PROTOCOL article

Front. Health Serv.
Sec. Implementation Science
Volume 4 - 2024 | doi: 10.3389/frhs.2024.1490764

Refining the Implementation Research Logic Model: A Citation Analysis, User Survey, and Scoping Review Protocol

Provisionally accepted
James L. Merle James L. Merle 1Elizabeth Sloss Elizabeth Sloss 1Olutobi Sanuade Olutobi Sanuade 1Rebecca Lengnick-Hall Rebecca Lengnick-Hall 2Rosemary D. Meza Rosemary D. Meza 3Caitlin Golden Caitlin Golden 1Rebecca Simmons Rebecca Simmons 1Alicia Velazquez Alicia Velazquez 1Jennie Hill Jennie Hill 1Paul Estabrooks Paul Estabrooks 1Mary McFarland Mary McFarland 1Miriam Rafferty Miriam Rafferty 4Dennis H. Li Dennis H. Li 4Justin Smith Justin Smith 1*
  • 1 The University of Utah, Salt Lake City, Utah, United States
  • 2 Washington University in St. Louis, St. Louis, Missouri, United States
  • 3 Kaiser Permanente Washington Health Research Institute, Seattle, Washington, United States
  • 4 Northwestern University, Evanston, Illinois, United States

The final, formatted version of the article will be published soon.

    Introduction. The Implementation Research Logic Model (IRLM) aids users in combining, organizing, and specifying the relationships between important constructs in implementation research. The goal of the IRLM is to improve the rigor, reproducibility, and transparency of implementation research projects. The article describing the IRLM was published September 25, 2020 (Implement Sci, Vol 15); it has since been highly cited and included as a required element in multiple funding opportunity announcements from federal agencies. The proliferation of IRLM use across dissemination and implementation research projects and practice provides an excellent opportunity to examine applications across a variety of different contexts. This protocol will result in a description of the impact of the IRLM on the field of dissemination and implementation science and guidance on refinements to the IRLM to increase its utility and impact through (1) a citation analysis, (2) a scoping review, and (3) user surveys and interviews. Methods and analysis. This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review reporting guidelines (PRISMA-ScR). We plan to conduct a citation search and analysis of the Smith et al. 2020 article and a scoping review. The review search will be conducted in Medline, Embase, CINAHL Complete, Cochrane Library, APA PsycINFO4, ProQuest Dissertations & Theses Global, Scopus and Web of Science Core Collection., and grey literature will be searched to identify studies that use alternative logic models for implementation research. A survey will be developed from the findings of the scoping review and administered to individuals who used the IRLM. Semi-structured interviews will then be conducted with a sample of survey respondents to provide an opportunity for sequential mixed-methods analysis to achieve a deeper understanding of needed IRLM refinements and recommendations. Ethics and dissemination. Ethics approval for the scoping review and citation analysis is not applicable as only data from published literature will be used and no original data will be collected. For the survey, IRB will be completed once items are developed from the results of the scoping review and citation analysis. Results will be disseminated through peer-reviewed publications, conference presentations, and via online tools.

    Keywords: scoping review protocol, implementation research logic model, implementation science, Citation analysis, Survey

    Received: 03 Sep 2024; Accepted: 08 Oct 2024.

    Copyright: © 2024 Merle, Sloss, Sanuade, Lengnick-Hall, Meza, Golden, Simmons, Velazquez, Hill, Estabrooks, McFarland, Rafferty, Li and Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Justin Smith, The University of Utah, Salt Lake City, 84112, Utah, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.