Case study research for better evaluations of complex interventions: rationale and challenges.

Area of Science:

• Health Services Research
• Public Health
• Complex Systems Science

Background:

• Growing recognition of limitations in traditional health research evaluation methods.
• The 'complexity turn' highlights the need to understand interventions in real-world, complex settings.
• Randomized controlled trials (RCTs) alone are insufficient for evaluating interventions in complex systems.

Purpose of the Study:

• To advocate for the under-utilization of case study research in health evaluation.
• To highlight the value of case studies in providing evidence on context, transferability, and causal mechanisms.
• To address misconceptions and challenges hindering the effective use of case study research in health sciences.

Main Methods:

• In-depth exploration of complex phenomena in natural settings.
• Utilizing case study methodology to understand dynamic challenges and causal pathways.
• Drawing upon social science scholarship on case study methodology.

Main Results:

• Case studies provide dynamic understanding of complex challenges and evidence on causal mechanisms.
• They identify necessary and sufficient conditions (contexts) for intervention implementation and effects.
• Case studies offer essential evidence for researchers and practitioners regarding intervention outcomes.

Conclusions:

• Case study research is an under-utilized resource for health intervention evaluation.
• It enhances causal inference, particularly for non-linear intervention pathways.
• Further methodological guidance is needed for reporting case studies for evaluation audiences.