A single logic model capturing clinical, service, and implementation interventions using a practical example in...

Area of Science:

• Implementation Science
• Health Services Research
• Pediatric Precision Medicine

Background:

• The Implementation Research Logic Model (IRLM) is crucial for evidence-based healthcare implementation.
• Distinguishing multilevel interventions, especially clinical and implementation aspects, presents a significant challenge.

Purpose of the Study:

• To develop the Clinical, Service, and Implementation Intervention Research Logic Model (CSII-RLM).
• To support the co-design and implementation of ProCure, a database for off-label therapy in pediatric precision medicine.

Main Methods:

• Qualitative data from 17 pediatric healthcare professional interviews were analyzed using the Consolidated Framework for Implementation Research (CFIR).
• The existing IRLM Clinical Intervention template was adapted, incorporating new elements to create the CSII-RLM.
• Worked examples and algorithms were developed to illustrate the model's application.

Main Results:

• The CSII-RLM successfully defined "Service Intervention" as a distinct component supporting ProCure within pediatric precision medicine.
• Worked examples demonstrated the CSII-RLM's ability to differentiate clinical and service interventions for real-world implementation understanding.
• Novel algorithms were created to clarify causal pathways for each intervention type.

Conclusions:

• The CSII-RLM shows promise for designing and implementing service interventions that support complex clinical interventions in healthcare.
• The CSII-RLM's utility was demonstrated during the ProCure implementation planning phase.
• Further testing and refinement of the CSII-RLM are planned throughout the ProCure implementation.