Updating the FORECAST formative evaluation approach and some implications for ameliorating theory failure,...

Area of Science:

• Program evaluation
• Community-based research
• Public health interventions

Background:

• Formative evaluation practices have historically lacked standardization.
• Existing approaches present limitations in program theory, implementation, and evaluation.
• The FORmative Evaluation Consultation And Systems Technique (FORECAST) was developed to address these inconsistencies.

Purpose of the Study:

• To describe updates and innovations integrated into the FORECAST approach.
• To highlight the implications of FORECAST for improving program development and assessment.
• To demonstrate the adaptability and utility of FORECAST across diverse settings.

Main Methods:

• Integration of specific models and tools within the FORECAST framework.
• Incorporation of feedback loops and proximal outcome evaluation.
• Application of FORECAST in a federally funded community prevention project and a randomized community research trial.

Main Results:

• FORECAST provides a structured yet adaptable system for formative evaluation.
• Updates have enhanced FORECAST's capacity to address program theory, implementation, and evaluation challenges.
• The approach has proven effective in real-world community-based projects and research trials.

Conclusions:

• FORECAST offers a robust and evolving methodology for formative evaluation.
• The approach facilitates local adaptations while maintaining core principles.
• FORECAST contributes to ameliorating common failures in program theory, implementation, and evaluation, enhancing intervention effectiveness.