Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach

Area of Science:

• Program evaluation
• Public health interventions
• Social science research methodology

Background:

• Refining program theory is crucial for effective intervention design and implementation.
• Understanding "what works for whom under what contexts" is key in program evaluation.
• Existing methods may not fully capture the heterogeneity of program mechanisms and outcomes.

Purpose of the Study:

• To introduce a novel framework for refining program theory through data exploration and stakeholder dialogue.
• To enhance the understanding of heterogeneous program mechanisms and their impact on diverse groups.
• To integrate a "learning through principled discovery" approach into program evaluation.

Main Methods:

• Utilizing pattern recognition methods to identify heterogeneous program mechanisms.
• Implementing developmental trajectories to analyze longitudinal data and identify outcome clusters.
• Facilitating stakeholder dialogue to refine program theory and implementation strategies.

Main Results:

• The framework successfully identified distinct developmental trajectories of outcomes in an alcohol risk-reduction program evaluation.
• Different treatment impacts were estimated for various subgroups within the evaluated program.
• The process facilitated a dialogue on heterogeneous mechanisms and informed subsequent program implementation.

Conclusions:

• The proposed framework offers a systematic approach to refine program theory by integrating data-driven insights with stakeholder perspectives.
• This method enhances the ability to understand and address program heterogeneity, leading to more targeted and effective interventions.
• The framework supports a realist evaluation approach, emphasizing context-specific effectiveness and principled discovery.