Meghan Guida, Neville Barbour

Organisation and country:

Management Sciences for Health, United States of America


This data visualisation was created to illustrate a level-based analytical framework our project developed in conducting a qualitative analysis of survey responses about health leaders' and managers' perceptions of corruption in the health sector. Respondents provided many examples of effective ways to reduce corruption, at each level and across levels, so we sought to capture the intersections and overlaps throughout. We see it as a kind of ecological framework - there are individuals working within systems, which function within a higher political environment. 

Our analysis was selected for presentation at the third Health Systems Research Symposium in Cape Town, South Africa. We wanted an eye-catching, colorful visualization that would capture the attention of the policy makers, practitioners, and academics in attendance. We shared an abbreviated version of the visualisation during our presentation, and created flyers that were distributed at the session. 

The visualisation sparked discussion about variations in the definition of corruption, the importance of considering the cultural context in which corruption occurs, the need for further research, and the analytical framework itself. We have also shared the visualisation on our project blog. It has proven to be a great visual tool to draw attention to a critical issue.


Final vote count - 52