How relationship and dialogue facilitate evidence use: Lessons from African countries

Background: This article shares lessons from four case studies, documenting experiences of evidence use in different public policies in South Africa, Kenya, Ghana and the Economic Community of West African States (ECOWAS). Objectives: Most literature on evidence use in Africa focuses either on one form of evidence, that is, evaluations, systematic reviews or on the systems governments develop to support evidence use. However, the use of evidence in policy is complex and requires systems, processes, tools and information to flow between different stakeholders. In this article, we demonstrate how relationships between knowledge generators and users were built and maintained in the case studies, and how these relationships were critical for evidence use. Method: The case studies were amongst eight case studies carried out for the book entitled ‘Using Evidence in Policy and Practice: Lessons from Africa’. Ethnographic case studies drawn from both secondary and primary research, including interviews with key informants and extensive document reviews, were carried out. The research and writing process involved policymakers enabling the research to access participants’ rich observations. Results: The case studies demonstrate that initiatives to build relationships between different state agencies, between state and non-state actors and between non-state actors are critical to enable organisations to use evidence. This can be enabled by the creation of spaces for dialogue that are sensitively facilitated and ongoing for actors to be aware of evidence, understand the evidence and be motivated to use the evidence. Conclusion: Mutually beneficial and trustful relationships between individuals and institutions in different sectors are conduits through which information flows between sectors, new insights are generated and evidence used.

Abstract licence: CC BY

23 more references, whose wording the paper’s licence keeps private.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.