Studying Evidence Use for Health Policymaking from a Policy Perspective

Individuals working within the health sector widely embrace the idea of using evidence to achieve their goals of improving individual and population health. Yet while these actors embrace an ideal form of rational-instrumental evidence use under the banner of ‘evidence based policymaking’, they often struggle to understand when, why, or how evidence is used in policy processes. This chapter sets out the conceptual framework employed in this volume to study the use of evidence within policymaking from a public policy perspective. It explores the importance of both political contestation and institutional context to understand when and how evidence will be used within policy processes. The chapter then outlines the structure of this book and the focus of subsequent chapters, highlighting how each of these talks to these themes

Rethinking Policy ‘Impact’:Four Models of Research-Policy Relations

Abstract Political scientists are increasingly exhorted to ensure their research has policy ‘impact’, most notably via Research Excellence Framework (REF) impact case studies, and ‘pathways to impact’ statements in UK Research Council funding applications. Yet the assumptions underpinning these frameworks often fail to reflect available evidence and theories. Notions of ‘impact’, ‘engagement’ and ‘knowledge exchange’ are typically premised on simplistic, linear models of the policy process, according to which policy-makers are keen to ‘utilise’ expertise to produce more ‘effective’ policies. Such accounts overlook the rich body of literature in political science, policy studies, and sociology of knowledge, which offer more complex and nuanced accounts. Drawing on this wider literature, this paper sets out four different approaches to theorising the relationship: (1) knowledge shapes policy; (2) politics shapes knowledge; (3) co-production; and (4) autonomous spheres. We consider what each of these four approaches suggests about approaches to incentivising and measuring research impact