<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Merle JL</submitter><funding>NCATS NIH HHS</funding><funding>NLM NIH HHS</funding><pagination>1490764</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11540644</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>4</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>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 (&lt;i>Implement Sci&lt;/i>, 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 </pubmed_abstract><journal>Frontiers in health services</journal><pubmed_title>Refining the implementation research logic model: a citation analysis, user survey, and scoping review protocol.</pubmed_title><pmcid>PMC11540644</pmcid><funding_grant_id>UM1 TR004409</funding_grant_id><funding_grant_id>T15 LM007124</funding_grant_id><pubmed_authors>Lengnick-Hall R</pubmed_authors><pubmed_authors>Simmons RG</pubmed_authors><pubmed_authors>Sanuade OA</pubmed_authors><pubmed_authors>Rafferty MR</pubmed_authors><pubmed_authors>Golden C</pubmed_authors><pubmed_authors>Hill JL</pubmed_authors><pubmed_authors>Sloss EA</pubmed_authors><pubmed_authors>Merle JL</pubmed_authors><pubmed_authors>Li DH</pubmed_authors><pubmed_authors>Velazquez A</pubmed_authors><pubmed_authors>Meza R</pubmed_authors><pubmed_authors>Estabrooks PA</pubmed_authors><pubmed_authors>McFarland MM</pubmed_authors><pubmed_authors>Smith JD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Refining the implementation research logic model: a citation analysis, user survey, and scoping review protocol.</name><description>&lt;h4>Introduction&lt;/h4>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 (&lt;i>Implement Sci&lt;/i>, 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 </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2026-07-16T20:20:17.939Z</modification><creation>2025-04-19T07:39:45.585Z</creation></dates><accession>S-EPMC11540644</accession><cross_references><pubmed>39512272</pubmed><doi>10.3389/frhs.2024.1490764</doi></cross_references></HashMap>