Focus on research The Executive Board also focused on the development and implementation of programmes grounded in research to achieve better results in the field.
An important part of the training required participants to complete between-session "assignments," or implementation plans, grounded in specific problems from participants' work environments and formally presented at course completion.
This study explores pathways to engaging local communities in the design and implementation of EWS and is grounded in a combination of scientific and grey literature reviews and empirical data analysis from three case studies.
We followed the guidelines proposed by Bartholomew, Parcel, Kok and Gottlieb [ 16, 17] in a method referred to as "intervention mapping" (IM), a stepwise approach for the development and subsequent implementation of interventions grounded in theory and empirical data.
Building on the influential book The Social Construction of Technological Systems, this volume carries forward the project of creating a theory of technological development and implementation that is strongly grounded in both sociology and history.
Conceptually, this improves the development process and ensures the design and implementation of software is grounded in empiricism.
The second objective was to develop a means of re-directing clinicians' mental models by creating a valid and reliable algorithm grounded in clinical evidence, with the ultimate objective of informing a guidelines implementation intervention.
First, while it was always our intention to follow a descriptive approach to studying implementation [ 16], methods grounded in health policy analysis theory may have been able to provide deeper insights by stating a set of hypotheses to test empirically [ 24].
To counteract this, the meetings were held in parallel with the implementation of EBHC making the discussions grounded in action and where opinions were modified over time, as KTAs were able to reflect on their experiences and discussions with others.
Although other implementation models have been developed, few are grounded in data and others fail to take adequate account of the clinical environment and users' requirements.
Furthermore, at the level of mechanistic implementation, a biophysically based neural model grounded in reinforcement learning was also shown to reproduce matching behavior in a baiting task.
