As health programs are relying more on decentralized models of care, mHealth has made it easier to collect, manage and store community-level health data. This data can feed into national health information systems and be used to inform decision making for improved service delivery at the community level. But how can we ensure that our community-based mHealth programs are collecting accurate, high-quality data that will help us deliver the right services to the right places at the right time?
More than ever before, people living with HIV in Mozambique are accessing the care they need, including Antiretroviral Therapy (ART). In some areas, facilities built to provide basic health services to the community now see three or four times as many clients as usual, most of whom receive ART.
This year’s Africa DATA Report focuses on a critical building block of development investment: health. Perhaps no other intervention is so critical to achieving the Sustainable Development Goals (SDGs). Health and nutrition interventions save lives; they also help to achieve better educational outcomes, build a more productive workforce and drive economic gains. For Africa, a continent with a burgeoning youth population, there will need to be an increased focus on investing in human capital to drive greater development progress.
Data Visualization That Works - Facilitating HIV Program Targeting: Case Examples and Considerations
With the introduction and strengthening of electronic health information systems, health data have become increasingly available in digital formats. Access to data, however, is not sufficient. Data must be processed, analyzed, and presented to decision makers in usable formats. The ability simply to read data is typically not enough, either. Data visualization can help would-be data users to see patterns, trends, and correlations that might go undetected in text-based or numerically-based data.