Building a Logic Model to Foster Engagement and Learning Using the Case of a Province-Wide Multispecies Antimicrobial...

Area of Science:

• Complexity Science
• Program Evaluation
• One Health

Background:

• Program design requires balancing dynamic resources and stakeholder priorities.
• Logic models are theory-based tools for evaluating program challenges.
• Developing effective programs necessitates adaptive governance.

Purpose of the Study:

• To describe building a logic model using complexity science theories.
• To support a province-wide multispecies antimicrobial use monitoring system in Quebec's animal health sector.
• To illustrate how "open" logic model development can enhance governance in complex initiatives.

Main Methods:

• A three-step process: mapping (literature review), framing (consultations), and shaping (hypothesis generation).
• Incorporated advanced theories from complexity studies.
• Utilized a 3-year consensus-building process with interdisciplinary experts and stakeholders.

Main Results:

• An "open" logic model framework was developed based on scientific knowledge and empirical insights.
• The process facilitated information gathering and consensus among diverse stakeholders.
• Demonstrated the model's utility in coordinating governance for complex programs.

Conclusions:

• Logic models are valuable for evaluating adaptive governance in One Health programs.
• The "open" logic model approach aids in practical application of complex theories.
• Effective program implementation relies on reflexive balancing and stakeholder engagement.