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...
Who is being reached? Rethinking how to collect, analyze and use data on the coverage of multisectoral nutrition interventions
DataDENT hosted a Scientific Symposium at the IUNS- ICN 2025 conference that presented a synthesis of our work to improve the collection and use of multisector intervention coverage data. Objectives: To identify common challenges with current approaches to...
Can we measure that? A stepwise approach to design valid household survey indicators and questions about nutrition intervention coverage
Description: Speakers discussed the need to develop better nutrition coverage indicators and survey questions. They gave real-world examples from DataDENT’s efforts to design and refine intervention coverage measures for maternal micronutrient supplements. Topics...
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...
Can we measure that? A stepwise approach to design valid household survey indicators and questions about nutrition intervention coverage
DataDENT hosted a Learning Lab at the 10th Annual Agriculture, Nutrition & Health Academy Week in Tanzania. The session walked participants through critical considerations for designing new nutrition intervention coverage indicators that can be measured using...
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...
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...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction: Despite global commitments to eliminate malnutrition, over half of the world’s population remains affected. Multi-sectoral nutrition interventions...
Co-coverage of social protection programs and maternal and child nutrition interventions in Bangladesh, India and Nepal
Preprint Article | https://www.medrxiv.org/content/10.1101/2025.01.22.25320966v1 Date of Publication | January 2025 Abstract Social protection programs (SPPs) are common in South Asia, a global malnutrition hotspot. Provision of SPP benefits as well as essential...
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...
Who is being reached? Rethinking how to collect, analyze and use data on the coverage of multisectoral nutrition interventions
DataDENT hosted a Scientific Symposium at the IUNS- ICN 2025 conference that presented a synthesis of our work to improve the collection and use of multisector intervention coverage data. Objectives: To identify common challenges with current approaches to...
Can we measure that? A stepwise approach to design valid household survey indicators and questions about nutrition intervention coverage
Description: Speakers discussed the need to develop better nutrition coverage indicators and survey questions. They gave real-world examples from DataDENT’s efforts to design and refine intervention coverage measures for maternal micronutrient supplements. Topics...
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...
Can we measure that? A stepwise approach to design valid household survey indicators and questions about nutrition intervention coverage
DataDENT hosted a Learning Lab at the 10th Annual Agriculture, Nutrition & Health Academy Week in Tanzania. The session walked participants through critical considerations for designing new nutrition intervention coverage indicators that can be measured using...
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...
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...
Methodological considerations and cost to measure coverage of multi-sectoral nutrition interventions: Protocol for the One Nutrition Coverage Survey in Bangladesh
Preprint Article | https://doi.org/10.12688/verixiv.754.1 Date of Publication | March 2025 Abstract Introduction: Despite global commitments to eliminate malnutrition, over half of the world’s population remains affected. Multi-sectoral nutrition interventions...
Co-coverage of social protection programs and maternal and child nutrition interventions in Bangladesh, India and Nepal
Preprint Article | https://www.medrxiv.org/content/10.1101/2025.01.22.25320966v1 Date of Publication | January 2025 Abstract Social protection programs (SPPs) are common in South Asia, a global malnutrition hotspot. Provision of SPP benefits as well as essential...