Evidence map›Paper›PMID 39745796›Full record

ArticleAmerican journal of epidemiology2025

Methods for estimating beneficiary populations targeted by health and nutrition interventions for women, pregnant women, infants, and young children.

Soyra Gune, Phuong H Nguyen, Suman Chakrabarti

Abstract read
In one paragraph

Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Soyra GuneInternational Food Policy Research Institute, New Delhi, India.ORCID 0000-0002-2327-4018
Phuong H NguyenInternational Food Policy Research Institute, Washington DC 2005, United States.ORCID 0000-0003-3418-1674
Suman ChakrabartiInternational Food Policy Research Institute, Washington DC 2005, United States.ORCID 0000-0002-5078-2173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilization of maternal and child interventions is typically tracked in low- and middle-income countries (LMICs) using coverage estimates from population representative surveys. These estimates cannot be directly applied to assess resource gaps in intervention delivery for which data on the population eligible are required. Moreover, coverage improvements may not necessarily reflect an expansion in utilization because of a decline in the population eligible. We develop a method to estimate the populations eligible for interventions across the continuum of care. The method uses data from the World Population Prospects and the Demographic Health Survey, data sources that are available for most LMICs. Additionally, we develop a method to estimate the eligible population covered by each intervention. Using the illustration of India, we estimate populations eligible for and covered by interventions during preconception, pregnancy, delivery, lactation, and childhood. We find that between 2015 and 2020, the eligible population declined for all beneficiary groups. Additionally, coverage expansion was not entirely driven by an increase in the population accessing an intervention, but rather also by a decline in the eligible population. Our illustration highlights the importance of including population estimates alongside coverage for interventions, particularly in LMIC contexts due to changing fertility dynamics.

Indexed as

Maternal-Child Health ServicesMaternal Health ServicesAdultChild, PreschoolDeveloping CountriesFemaleHumansIndiaInfantInfant, NewbornPregnancyhealth and nutrition interventionsmaternal and child healthmethodspopulation

Identifiers

PMID39745796
PMCPMC12634098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.