Abstract

BackgroundCollaborative approaches to generating knowledge between knowledge users (KUs) and researchers as a means of enhancing evidence-informed decision making have been gaining ground over the last few years. The principal study targeted rural and urban communities within the catchment areas of Cyanika health centre (Burera district, Northern Province) and Kacyiru health centre (Gasabo district, in City of Kigali), respectively to understand perceptions and preferences of communication with respect to cardiovascular disease (CVD) risk in Rwanda. This paper describes the integration of citizen science within an integrated knowledge translation (IKT) approach for this study.MethodsThe citizen science approach included deliberate, selective and targeted engagement of KUs at various steps throughout the study. It incorporated national and district levels stakeholders, primary health care stakeholders, local community leaders and influencers, and local community members (selected and trained to be termed citizen scientists) in the process of implementation. Data for this paper included minutes, reports and notes from meetings and workshops which were perused to report the immediate outcomes and challenges of citizen science within an IKT approach for a study such as described for Rwanda.ResultsAs a result of a deliberate IKT strategy, key national stakeholders attended and contributed to all phases of citizen science implementation. Project-based and relationship-based immediate outcomes were documented. In line with local community health issues reported by the citizen scientists, the local community stakeholders pledged home grown solutions. These included enhancement of compliance to implement the “kitchen garden per household” policy, teaching local residents on preparation of healthy diet from locally available food items, organizing collective physical activity, fighting against locally made substandard beverages and teaching local residents on CVD (risk factors). As an indicator of the probable uptake of research evidence, district officials appreciated citizen scientists’ work and decided to consider presented results in their next fiscal year action plan.ConclusionCitizen science proved to be an important strategy for research co-production in Rwanda. While this strategy falls within the remit of a larger IKT approach it focuses on the role and ownership of research by local community residents. This study demonstrated that to improve the relevance and impact of research in local community a deliberate IKT approach that incorporates citizen science can be invaluable.

Highlights

  • Collaborative approaches to generating knowledge between knowledge users (KUs) and researchers as a means of enhancing evidence-informed decision making have been gaining ground over the last few years [1]

  • In order to embed citizen science within integrated knowledge translation (IKT) approach, researchers first of all engaged with KUs at ministry of health (MoH) level, they collaboratively co-implemented all steps of citizen science in line with the protocol [8]

  • This paper reported the immediate outcomes of the citizen science implementation with an IKT approach

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Summary

Introduction

Collaborative approaches to generating knowledge between knowledge users (KUs) and researchers as a means of enhancing evidence-informed decision making have been gaining ground over the last few years [1]. Citizen science – at times referred to as community-led or community-based participatory research (CBPR) [2] - is one such participatory approach and has previously been described as the general public engagement in scientific research activities when citizens actively contribute to science either with their intellectual effort or surrounding knowledge or with their tools and resources [3]. It can inform local policy makers about residents’ perceptions and views, and provide access to lay knowledge [3]. This paper describes the integration of citizen science within an integrated knowledge translation (IKT) approach for this study

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