Abstract

BackgroundThe Collaboration for Evidence-based Healthcare and Public Health in Africa (CEBHA+) is a research consortium concerned with the prevention, diagnosis and treatment of non-communicable diseases. CEBHA+ seeks to engage policymakers and practitioners throughout the research process in order to build lasting relationships, enhance evidence uptake, and create long-term capacity among partner institutions in Ethiopia, Malawi, Rwanda, South Africa and Uganda in collaboration with two German universities. This integrated knowledge translation (IKT) approach includes the formal development, implementation and evaluation of country specific IKT strategies.MethodsWe have conceptualised the CEBHA+ IKT approach as a complex intervention in a complex system. We will employ a comparative case study (CCS) design and mixed methods to facilitate an in-depth evaluation. We will use quantitative surveys, qualitative interviews, quarterly updates, and a policy document analysis to capture the process and outcomes of IKT across the African CEBHA+ partner sites. We will conduct an early stage (early 2020) and a late-stage evaluation (early 2022), triangulate the data collected with various methods at each site and subsequently compare our findings across the five sites.DiscussionEvaluating a complex intervention such as the CEBHA+ IKT approach is complicated, even more so when undertaken across five diverse countries. Despite conceptual, methodological and practical challenges, our comparative case study addresses important evidence gaps: While involving decision-makers in the research process is gaining traction worldwide, we still know very little regarding (i) whether this approach really makes a difference to evidence uptake, (ii) the mechanisms that make IKT successful, and (iii) relevant differences across socio-cultural contexts. The evaluation described here is intended to provide relevant insights on all of these aspects, notably in countries in Sub-Saharan Africa, and is expected to contribute to the science of IKT overall.

Highlights

  • The Collaboration for Evidence-based Healthcare and Public Health in Africa (CEBHA+) is a research consortium concerned with the prevention, diagnosis and treatment of non-communicable diseases

  • This paper describes the evaluation procedures to assess the process and outcomes of the CEBHA+ integrated knowledge translation (IKT) approach implemented across five African CEBHA+ sites

  • Whilst the funder’s interest in IKT as a means of enhancing research impact is highly commendable and in line with several other international funding agencies requiring that knowledge translation be integrated into proposals [12], a critical meta-discussion is needed on how IKT interventions can be aligned with the realities of international research collaborations and the contexts and capacities of the different partner institutions

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Summary

Introduction

The Collaboration for Evidence-based Healthcare and Public Health in Africa (CEBHA+) is a research consortium concerned with the prevention, diagnosis and treatment of non-communicable diseases. CEBHA+ seeks to engage policymakers and practitioners throughout the research process in order to build lasting relationships, enhance evidence uptake, and create long-term capacity among partner institutions in Ethiopia, Malawi, Rwanda, South Africa and Uganda in collaboration with two German universities. This integrated knowledge translation (IKT) approach includes the formal development, implementation and evaluation of country specific IKT strategies. Integrated knowledge translation (IKT) in public health and healthcare is defined as engagement of knowledge users (e.g., decision-makers) as active participants in the research process [1]. IKT constitutes one of a series of related concepts in the field of research co-production, namely participatory research, research collaboration, public/patient involvement and engaged scholarship, with aims ranging from the production of more applicable and useful research to the democratisation of science [4]

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