In the past decade, national programmes and donor-funded projects have made great progress in reaching people living with HIV with life-saving treatment in countries across the globe. Measuring success of these initiatives requires strong monitoring and evaluation systems that produce high-quality data.
Efforts to ensure data quality, therefore, are not singular events occurring randomly. Rather, these processes need to become institutionalized as part of all routine data management processes.
Once achieved, data quality helps to ensure that limited resources are used effectively, progress toward established targets is accurately monitored, measured and reported and decisions are based on strong evidence.
|