A technical package of five essential interventions with key elements to strengthen country health data and information systems and enable governments to track progress towards the health-related SDGs and national and subnational priorities.
What is the SCORE for Health Data Technical Package? What does it include, and what makes it unique from other similar resources? Find answers to these questions and more, including how to get in touch with specific comments or feedback.
Find out more about SCORE related activities and initiatives in WHO's Global Programme of Work and selected partnerships.
Accurately counting births and deaths is a cornerstone of every health system. This includes strategies to reliably and continuously track fertility rates, mortality rates, cause-of-death distribution and life expectancy.
Gaps in cause of death and mortality reporting often occur due to late registration of deaths outside healthcare facilities. We must take a coordinated approach to ensure every birth and death event is properly counted, notified and registered.
Regular, reliable data from health facilities and the resource systems that support them are central to ensuring availability and quality of health services.
Health facility data support clinical management of patients, disease monitoring, facility management, health sector planning, and monitoring of service coverage and performance. In the wake of COVID-19, these data will be invaluable to assess the impact on health workforce capacity and essential services to improve preparedness going forward.
Translating data into effective use by multiple stakeholders is a final and critical step in the data lifecycle. It ensures that governments are accountable for health system performance and that every country can adequately define, measure and compile the data required to monitor progress
Capacity-building and technical and financial resource alignment is also necessary to enable data use. This includes transparent processes for data reporting, storage and dissemination at all levels and quality assurance for data methods. It also includes visualizations to translate data into actionable information for the general public adapted to specific contexts and local communities.