This policy note, developed jointly with NITI Aayog and IDinsight, aims to provide guidance to national, state, and district level government officials/stakeholders on issues to consider on the use of data to track progress on nutrition interventions, immediate and underlying determinants, and outcomes. It proposes an indicator framework for POSHAN Abhiyaan and examines availability of data on these indicators across both population-based surveys and administrative data systems. Finally, it lays out issues to be considered in strengthening efforts to improve the use of data in the context of POSHAN Abhiyaan and makes key recommendations on improving data availability and improving the use of currently available data.
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1. Data prioritization
A set of core indicators across the lifecycle should be prioritized and reviewed at all levels (national, state, district, and block).
To track progress towards POSHAN Abhiyaan goals and targets, a set of core indicators across the lifecycle should be prioritized for monitoring the progress, diagnosis, and action in both population-based surveys and administrative data systems. These core indicators should be reviewed at national, state and district levels across existing review mechanisms. The data review highlights that several possible indicators are available for each intervention and from multiple data sources. Therefore, it is important to identify core data sources based on the potential data use scenarios (e.g., use of population-based survey data sources for evaluation of coverage or reach; or use of administrative data sources for program reviews and refinement).
2. Promote data use
Develop guidance on different types of data sources and their use to promote awareness. Strengthen capacities of officials to effectively use data to improve planning and decision making.
There is a need to create a strong culture of data use among officials at all levels in the nutrition space. To promote awareness around available data sources and their use, we need to ensure that all data users are aware of the design elements, challenges, and opportunities of each type of data source. We recognize the need to develop and provide guidance on the different types of data sources, what data are needed and how to effectively use data for progress tracking, strategy development, and program refinement. At the same time, it will be useful to support and incentivize district and sub-district level officials to integrate, analyze and use nutrition data from multiple sectors and systems to improve planning and decision making. As part of this process, it will be important to strengthen the capacities of staff to perform these activities across the data value chain.
3. Tracking progress on inputs and intervention coverage
Multiple data sources for coverage indicators require careful reconciliation of findings from survey data and administrative data systems. Ensure interoperability of nutrition data across data systems to support better-informed decision making. Develop data use cases for survey and administrative data on intervention coverage.
4. Monitoring progress on determinants
Use population-based survey data when available and continue to strengthen data on nutrition behaviors from administrative systems.
On the use of data from diverse sources:
5. Monitoring progress on outcomes
Use population-based survey data for progress tracking. Strengthen data on nutrition outcomes from administrative systems for program use.
6. Data stewardship
A single data stewardship entity is essential to ensure coordinated monitoring of progress, strategy refinement and to support data use for program refinement.
A single data stewardship entity must provide guidance to all major committees and review platforms. We recommend a strong role for a data stewardship body, such as NITI Aayog, and related state-level entities. Review mechanisms at each level should include clear guidance on the use of data at all reviews.
24 May 2021
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