Another year for Bluesquare – The same vision, different ways
At Bluesquare, what drives us is the desire to make the world a better place. Our goal is to ensure that every citizen on this planet has access to a minimum package of health services. Unfortunately, we are not there yet. The community surrounding the Tipo health center in the DRC has benefited from barely any substantial Global Health investment over the last years. So, helping Global Health players allocate their resources in a smarter way, so that it goes where it matters most, is where we can continue to make a difference. How will we get there? We believe that technology and data can influence this allocation in two ways : increase efficiency of existing investments through better data insights and financial disintermediation, and make Global Health a more attractive investment for countries and citizens looking to invest in this space.
But how do we translate this vision into operational priorities? Here is our focus for 2018.
Health RBF programs typically evaluate patient satisfaction quarterly to verify the information declared by health centers about the services offered. Every quarter, a sampling of patients who visit the health facility are interviewed usually by Community-Based Organizations (CBO). Once data has been collected, a “community satisfaction score” is calculated for each provider, which impacts the payment/bonus allocated to that provider. In most countries, this process is paper-based.
In early 2016, Benin’s Ministry of Health scaled up its Results-Based Financing (RBF) system. This move has ensured that all health care providers (all public, most faith-based, some private) are surveyed quarterly to externally assess service availability and quality of care. To aid Benin’s government, Bluesquare has been providing strategic support to their RBF data system.
As mentioned in a previous post: internet coverage is increasing in developing countries and universal internet access is no longer just a dream. So, what does this mean for global health? What does this mean for health data systems?