Bill Heisel, director of global engagement at the Institute for Health Metrics and Evaluation in Seattle, Washington, found hope in data on diarrhea. What stood out to him in data from the Global Burden of Diseases on the top five killers in West Africa? Ghana, which had reduced its diarrheal death rate by 80 percent between 1990 and 2010.
“If you are trying to make decisions and set priorities in your community, and you are focused only on things that aren’t working, then you can quickly end up in this cycle of always chasing the most obstinate problems instead of looking to areas where there’s a possibility of progress and trying to mirror that progress,” Heisel told Devex. “The data show there are success stories happening all the time, so it’s about putting a narrative around that and finding out what worked and whether it is replicable.”
The growing emphasis on data driven development presents an opportunity for global development professionals to learn from and perhaps even replicate the successes of the best performers within a data set. But that can only happen once they learn how to take a positive deviance approach, identifying the people or policies that defy the norm and achieve better outcomes as result, as a starting point to determine what is working.