TABLE 2.

Contradictions Associated With the Process of Conducting Embedded Implementation Science and Case Study Examples of Strategies for Resolving Contradictions

AttributeCore Strategies of Implementation ScienceStrategic Adjustments of Embedded ScienceContradictions Encountered by Embedded Implementation ScienceImplications for Resolving Contradictions
TeamworkConstitute teams according to technical functions.Delineate implementation and research teams.Research teams and implementation teams have contrasting skills, orientations, and roles.Configure at each level of the system “learning localities” where the pursuit of excellence is a collaborative endeavor that integrates implementation with investigation.
SimplicityDevelop measureable indicators of endpoints and possible confounders.Focus on indicators that are commensurate with host organizational data capture, analysis, and communication capabilities.Research and implementation integration is complex to undertake, but simplicity is often essential for fostering organizational change.105,106Employ mixed methods research and knowledge management to promote understanding of essential processes and outcomes.44,45,98
ReplicabilityEnd of project terminates further research on replication or scale-up.Design projects to facilitate subsequent replication and scale-up.Developing learning systems requires focused inquiry in localities where interventions can be tractably managed. Managers often seek investigation that is immediately relevant to large-scale operations.44,45Plan phases in advance99 that (i) diagnose systems requirements, (ii) test impact, (iii) test replication, and (iv) scale up based on replication lessons.
FidelityFidelity of interventions to themes appearing in the scientific literature.For longitudinal research on scaling up, develop communication mechanisms that ensure widespread host agency understanding of the evidence justifying change.Primary science generates knowledge about impact without providing knowledge about change processes.90 Adapting to unanticipated changes is essential to scale-up.100
Fidelity to research outcomes is often incompatible with flexibility.
Develop “learning localities” for catalyzing the geographic spread of implementation.
Integrate learning into national systems planning processes.
Avoid advocacy focusing solely on “success” without also publicizing challenges and failure.88