Agent-based modeling |
Computational modeling that simulates actions and interactions of actors (e.g., individuals, groups, and/or organizations) within a system, as well as system behavior and outcomes emerging from the interactions of these actors and each actor’s assigned characteristics [30] |
Testing the hypothesis that actors strongly identifying with their organizations is a mechanism that drives intraorganizational behavioral divergence and network polarization for the implementation of evidence-based practices [31] |
[32, 33] |
Causal pathway diagramming |
Visual representation of causal, dynamic interrelations among variables and outcomes of interest in a given context [4] |
Specifying the mechanisms of action of implementation strategies used to improve acute stroke treatment practices [34] |
[35, 36] |
Participatory system dynamics |
Use of a participatory epistemology to develop and integrate modeling of complex systems to support decisions that are currently least supported and to empower those who are typically the least empowered; models therefore are developed, reviewed, and acted upon in partnership with individuals who are affecting and affected by the system being modeled [37] |
Determining the mechanisms through which past actions taken either enabled or constrained clinical guidelines implementation [38] |
[25, 39] |
Process evaluation |
Assessment and documentation of the developed, planned, and delivered implementation strategy [40] |
Ascertaining what characteristics of front-line staff and leadership served as mechanisms for hand hygiene improvement [41] |
[42–44] |
Realist evaluation |
Generation of a theory-driven and practice-informed model that connects context, mechanisms, and outcome patterns [45] |
Studying contextual factors and causal mechanisms that enabled or hindered evidence-based interventions’ sustainability [46] |
[47, 48] |
Ripple effects mapping |
Participatory evaluation that generates a visualization of causes and their cascaded effects radiating from each cause, along with participants’ first-hand experiences [49] |
Establishing context-mechanism-outcome configurations based on mixed-methods data for an intervention to increase physical activity [50] |
[51, 52] |
Simulation modeling |
Creation and analysis of a computational model of a system to replicate and anticipate the system’s real-world behavior [53]; of note, some of the other listed methods (e.g., agent-based modeling and participatory system dynamics) are subsumed under this method |
Articulating and refining implementation actors’ articulation of hypotheses regarding causal mechanisms of the intervention and implementation strategies [24] |
[29] |
Structural equation modeling |
Mathematical representation of a phenomenon to investigate aspects of the phenomenon that are statistically and/or causally related to one another and to the phenomenon [54] |
Examining the mediators of hospitals’ escalation prevention potential as mechanisms for successful electronic health record implementation [55] |
[56–58] |