Using Social Network Analysis to Inform Implementation Science Infrastructure Development.

Area of Science:

• Implementation Science
• Health Systems Research
• Social Network Analysis

Background:

• Implementation is a complex, collaborative process requiring engagement across research, practice, and policy sectors.
• Developing supportive infrastructure for implementation research and practice is challenging.
• Effective engagement of key partners is crucial for successful implementation initiatives.

Purpose of the Study:

• To explore the utility of social network analysis (SNA) in the early stages of developing implementation infrastructure.
• To identify key implementation science assets and practitioners within Alberta's health-research ecosystem.
• To inform network-building strategies and the promotion of implementation support services.

Main Methods:

• Exploratory social network analysis was employed to map connections within the implementation science field.
• Qualitative interviews were conducted to contextualize SNA findings and gather in-depth insights.
• Data analysis focused on identifying key researchers, practitioners, and collaboration patterns.

Main Results:

• SNA identified key implementation researchers and support practitioners in Alberta.
• Implementation research followed a consultation model, while practice was more collaborative.
• Interviews revealed a need for capacity-building and highlighted key partnership considerations.

Conclusions:

• Social network analysis, particularly when combined with qualitative interviews, is a practical tool for informing implementation infrastructure development.
• The findings illustrate how SNA can identify assets, guide network building, and target support services effectively.
• This approach can enhance collaboration and capacity within health research ecosystems.