@article{smith_implementation_2020,
	title = {The {Implementation} {Research} {Logic} {Model}: a method for planning, executing, reporting, and synthesizing implementation projects},
	volume = {15},
	issn = {1748-5908},
	shorttitle = {The {Implementation} {Research} {Logic} {Model}},
	url = {https://doi.org/10.1186/s13012-020-01041-8},
	doi = {10.1186/s13012-020-01041-8},
	abstract = {Numerous models, frameworks, and theories exist for specific aspects of implementation research, including for determinants, strategies, and outcomes. However, implementation research projects often fail to provide a coherent rationale or justification for how these aspects are selected and tested in relation to one another. Despite this need to better specify the conceptual linkages between the core elements involved in projects, few tools or methods have been developed to aid in this task. The Implementation Research Logic Model (IRLM) was created for this purpose and to enhance the rigor and transparency of describing the often-complex processes of improving the adoption of evidence-based interventions in healthcare delivery systems.},
	number = {1},
	urldate = {2022-05-24},
	journal = {Implementation Science},
	author = {Smith, Justin D. and Li, Dennis H. and Rafferty, Miriam R.},
	month = sep,
	year = {2020},
	keywords = {Integration, Logic models, Program theory, Study specification, barriers \& supports manuscript},
	pages = {84},
}

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