The evidence-based-policy ecosystem, and its arsenal of approaches and techniques need course-correction to adequately respond to complex and practical policymaking contexts. Experimental findings do not resonate in scale implementation, particularly in large and diverse contexts like India’s. Causal empiricism leaves out investigation of complex pathways and impact mechanisms, while ‘evidence’ often disengages political economy considerations. Surmounting the methodological constrictions—which limit the utility and uptake of such evidence for a decisionmaker—requires being able to sufficiently account for institutional factors, social norms, politics, and stakeholder incentives among other related influences in policymaking. This may be possible through robust use of qualitative nuances, and integration of political economy analysis towards adopting a realist approach in evidence generation. It is important to acknowledge that measurement alone should qualify as neither evaluation or research. The state of research, its guiding principles, approaches and methods are often directed by current influences and preferences of stakeholders who are in a position to shape discourse. Interjections by more stakeholders are urgently needed to orient evidence generation to ‘real world’ realities and respond to the non-linear complexities of developmental change pathways.
Evidence-based policy choices for efficient and equitable cervical cancer screening programs in low-resource settings