Health Sector Learnings Integrating Health Data for Strengthened WASH Performance
The Health Sector Learnings initiative examines how public health data systems can enhance WASH planning, performance monitoring, and investment decisions. By exploring the intersection between health outcomes and WASH services, this work provides utilities, municipalities, and regulators with practical frameworks for integrating health indicators into routine performance management.
Through landscape assessment and cross-sectoral analysis, WSH Data Labs examined successful health surveillance frameworks and identified opportunities for data sharing between health and WASH sectors. This initiative demonstrates how linking disease surveillance data with WASH service indicators enables more targeted interventions, justifies infrastructure investments, and strengthens evidence-based policymaking.
Key Activities
- Conducted landscape assessment of public health data systems to understand data management, usage, and impact in the health sector.
- Analysed cross-sectoral best practices for integrating health indicators into WASH performance frameworks.
- Engaged health and WASH sector experts to ensure holistic knowledge transfer and practical application.
- Developed guidelines for deriving WASH-relevant health indicators from routinely collected data sources.
Outputs
Report titled "Bridging the Data Divide: Integrating Health Insights into WASH Systems" providing actionable frameworks for health-WASH integration
Technical guidance on using health data for WASH surveillance, performance monitoring, and investment prioritisation
Recommendations for cross-sectoral collaboration mechanisms and data-sharing protocols.
Impacts
- Enhanced understanding of health-WASH linkages among utilities, municipalities, and regulators.
- Provided practical tools for using health outcomes data to strengthen WASH decision-making and resource allocation.
- Established foundation for evidence-based WASH interventions that directly address public health priorities.
