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Table 3 Code definitions and examples from content analysis of impact questions

From: Metrics to evaluate implementation scientists in the USA: what matters most?

Code name

Code definition

Code example

Better patient outcomes

Improved patient-level outcomes

“Improvement in the health and well-being of the people we are trying to reach with an evidence-based intervention”

Capacity building

Greater individual, organization, or system capabilities to conduct and implement high-quality research and practice [21,22,23]

“Student training and mentorship (e.g., developing little D&I-lings)”

Changing practice and/or policy

Practice-wide or policy-level changes

“Policy changed to promote evidence-based practice implementation as a result of implementation work”

Conceptual or empirical contribution

Making a substantial conceptual or empirical contribution to the field

“Helping solve key implementation science methodological and conceptual issues”

Partnership

Collaboration with partners, including community partners and research team collaborators

“Length and depth of connection to local community and state”

Reach

The number of people reached by a policy or intervention and how representative they are of the target population [24]

“How many individuals are touched in the target population”

Stakeholder demand

When community stakeholders (e.g., providers, patients) initiate contact with the implementation scientist to request intervention or expertise

“When community programs kept asking me for my intervention”

Sustainability

Extent to which a program or policy becomes institutionalized or part of the routine organizational practices and policies [24]; maintenance over time

“Project sustained beyond funding from research”

Traditional academic metrics

Traditional metrics for evaluating academic performance (e.g., grants, publications, citations)

“Number of high-profile publications and grants”