Statistics/multisectoral information systems
Intro
Improving nutrition results starts with counting nutrition results: it is important to prioritise collecting, analyzing and monitoring data and planning nutrition-specific and nutrition-sensitive actions based on robust data.
Why
Why the sector needs to get involved
- Robust routine information data on nutrition facilitates opportunities for external funding harnessing more resources in support of national plans.
- Timely, accurate and comprehensive data on nutrition-specific and nutrition-sensitive programming and nutrition results enhances informed decision making and planning.
Key asks
- Integrate reliable individual nutrition indicators into the national statistics.
- Improve nutrition data quality, strengthen data management capacity, and improve multi-sectoral, multi-stakeholder coordination around nutrition-specific and nutrition-sensitive data.
- Focus data collection, analysis, and planning, on disaggregated nutrition-specific and nutrition-sensitive indicators, including primary and secondary nutrition outcomes (stunting, wasting, underweight and overweight and anemia through routine information systems), household dietary diversity score (HDDS), infant and young child feeding (IYCF) indicators, minimum acceptable diet (MAD), food security scores, indicators of WASH practices, standardised measures of women’s empowerment, and indicators of household finances (income and expenditure).
- Establish regular monitoring systems and mechanisms for tracking changes in nutrition indicators within an early warning system approach (and use this to trigger DRR actions – See section 7).
- Digitize the collection of nutrition data, particularly in health services through ICCM and IMCI protocols digitalization and education.
