Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Enhancing clarity and validity: Cognitive interviewing to improve Nutrition-Sensitive Social Protection coverage survey questions
DataDENT has been tackling the challenge of designing indicators and survey questions about nutrition intervention coverage that are clearly understood by respondents while also providing the information that data users need. Cognitive interviewing is an essential...
Transitioning from IFA to MMS: A new supplement brings new measurement challenges
When countries transition from iron folic acid (IFA) to multiple micronutrient supplements (MMS), they are not just swapping one type of tablet for another. They are introducing a unique intervention with implications for how we define and monitor micronutrient...
Data for food and nutrition: What does it really cost?
Drastic cuts to donor aid in early 2025 are projected to have lasting consequences for nutrition in the coming decades. Governments and implementers need to do more with less. Timely and accurate food and nutrition data are needed to guide strategic choices about how...
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
During our recent assessment in Nigeria, DataDENT and our local partner NAHI found significant variability across the 14 Ministries, Departments and Agencies (MDAs) included in Nigeria’s National Multisectoral Food and Nutrition Action Plan (NMPFAN) in whether and...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
Learnings from formative research on measuring coverage of Large-Scale Food Fortification in household surveys in Bangladesh and Ethiopia
Many governments and donors are investing in Large-Scale Food Fortification (LSFF) as a cost-effective strategy for preventing micronutrient deficiencies. However, gaps in data on household-level coverage of LSFF are common for most foods except salt. In a previous...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
Moving multisector coordination from theory to practice is complex, and it is important to learn from country experiences. A multisector nutrition information system (NIS) supports coordination by synthesizing data from diverse data sources and across different...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...
Who is being reached with multisector nutrition interventions? Introducing a framework for co-coverage and composite coverage analysis
Measures of multisectoral nutrition intervention coverage Many countries implement multisectoral nutrition strategies that address malnutrition through interventions delivered by different sectors, including health, agriculture, education, industry, social protection,...
Enhancing clarity and validity: Cognitive interviewing to improve Nutrition-Sensitive Social Protection coverage survey questions
DataDENT has been tackling the challenge of designing indicators and survey questions about nutrition intervention coverage that are clearly understood by respondents while also providing the information that data users need. Cognitive interviewing is an essential...
Transitioning from IFA to MMS: A new supplement brings new measurement challenges
When countries transition from iron folic acid (IFA) to multiple micronutrient supplements (MMS), they are not just swapping one type of tablet for another. They are introducing a unique intervention with implications for how we define and monitor micronutrient...
Data for food and nutrition: What does it really cost?
Drastic cuts to donor aid in early 2025 are projected to have lasting consequences for nutrition in the coming decades. Governments and implementers need to do more with less. Timely and accurate food and nutrition data are needed to guide strategic choices about how...
Where should countries invest along the nutrition data value chain? A multisector perspective from Nigeria
During our recent assessment in Nigeria, DataDENT and our local partner NAHI found significant variability across the 14 Ministries, Departments and Agencies (MDAs) included in Nigeria’s National Multisectoral Food and Nutrition Action Plan (NMPFAN) in whether and...
Making qualitative insights more accessible: Using AI to understand key informant interviews
An essential part of improving the availability and use of data in the countries where DataDENT works is understanding the needs and priorities of diverse national and sub-national actors engaged with the nutrition data value chain. We recently carried out multisector...
Learnings from formative research on measuring coverage of Large-Scale Food Fortification in household surveys in Bangladesh and Ethiopia
Many governments and donors are investing in Large-Scale Food Fortification (LSFF) as a cost-effective strategy for preventing micronutrient deficiencies. However, gaps in data on household-level coverage of LSFF are common for most foods except salt. In a previous...
Revisiting the nutrition data value chain: An updated framework to promote data use
For the last seven years DataDENT has championed the nutrition data value chain (DVC) as the guiding framework for our initiative. It is rare to see a presentation by a DataDENT team member that does not start with the DVC. DataDENT did not create the idea of a DVC or...
Using process maps to guide the scale-up of national nutrition information systems in Ethiopia
Moving multisector coordination from theory to practice is complex, and it is important to learn from country experiences. A multisector nutrition information system (NIS) supports coordination by synthesizing data from diverse data sources and across different...
Improving multi-sectoral nutrition coverage measurement: The One Nutrition Coverage Survey in Bangladesh
Over the last two decades many low-and-middle-income countries (LMICs) have developed multi-sectoral nutrition policies to address high rates of malnutrition across their populations. As of 2022, 45 out of 66 Scaling Up for Nutrition (SUN) countries have a national...