Evidence map›Paper›PMID 33627359›Full record

ArticleBMJ global health2021

Missed opportunities for delivering nutrition interventions in first 1000 days of life in India: insights from the National Family Health Survey, 2006 and 2016.

Phuong Hong Nguyen, Rasmi Avula, Lan Mai Tran, Vani Sethi, Alok Kumar, Dinesh Baswal, Nemat Hajeebhoy, Alok Ranjan, Purnima Menon

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Disparity Analysis for Cardiac Surgical Outcomes: The Citizenship Factor.Journal of cardiovascular development and disease · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

9 authors at 6 institutions in 2 countries.

Phuong Hong NguyenPoverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, District of Columbia, USA P.H.Nguyen@cgiar.org.ORCID 0000-0003-3418-1674
Rasmi AvulaPoverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, District of Columbia, USA.ORCID 0000-0003-0066-6964
Lan Mai TranFHI Solutions, Durham, North Carolina, USA.
Vani SethiUNICEF, Delhi, India.
Alok KumarDepartment of Health & Family Welfare, Government of Uttar Pradesh, Formerly with NITI Aayog, New Delhi, Delhi, India.
Dinesh BaswalFormerly with the Maternal Health Division, India Ministry of Health and Family Welfare, New Delhi, Delhi, India.
Nemat HajeebhoyBill & Melinda Gates Foundation, Seattle, Washington, USA.
Alok RanjanBill & Melinda Gates Foundation, Delhi, India.
Purnima MenonPoverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, District of Columbia, USA.
International Food Policy Research Institute · USFamily Health International 360 · USGates Foundation · USGovernment of Uttar Pradesh · INMinistry of Health and Family Welfare · INUnited Nations Children's Fund India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExisting health and community nutrition systems have the potential to deliver many nutrition interventions. However, the coverage of nutrition interventions across the delivery platforms of these systems has not been uniform. We (1) examined the opportunity gaps between delivery platforms and corresponding nutrition interventions through the continuum of care in India between 2006 and 2016 and and (2) assessed inequalities in these opportunity gaps.

methodsWe used two rounds of the National Family Health Survey data from 2005 to 2006 and 2015-2016 (n=36 850 and 190 898 mother-child dyads, respectively). We examine the opportunity gaps over time for seven nutrition interventions and their associated delivery platforms at national and state levels. We assessed equality and changes in equality between 2006 and 2016 for opportunity gaps by education, residence, socioeconomic status (SES), public and private platforms.

resultsCoverage of nutrition interventions was consistently lower than the reach of their associated delivery platforms; opportunity gaps ranging from 9 to 32 percentage points (pp) during the pregnancy, 17 pp during delivery and 9-26 pp during childhood in 2006. Between 2006 and 2016, coverage improved for most indicators, but coverage increases for nutrition interventions was lower than for associated delivery platforms. The opportunity gaps were larger among women with higher education (22-57 pp in 2016), higher SES status and living in urban areas (23-57 pp), despite higher coverage of most interventions and the delivery platforms among these groups. Opportunity gaps vary tremendously by state with the highest gaps observed in Tripura, Andaman and Nicobar islands, and Punjab for different indicators.

conclusionsIndia's progress in coverage of health and nutrition interventions in the last decade is promising, but both opportunity and equality gaps remained. It is critical to close these gaps by addressing policy and programmatic delivery systems bottlenecks to achieve universal coverage for both health and nutrition within the delivery system.

Indexed as

Health SurveysChildFemaleHumansIndiaPregnancycross-sectional surveyhealth services researchhealth systemsnutritionpublic health

Identifiers

PMID33627359
PMCPMC7908280
OpenAlexW3129900703

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.