Evidence map›Paper›PMID 31622040›Full record

ArticleMaternal & child nutrition2019

Predictors of micronutrient powder (MNP) knowledge, coverage, and consumption during the scale-up of an integrated infant and young child feeding (IYCF-MNP) programme in Nepal.

Lindsey M Locks, Pradiumna Dahal, Rajkumar Pokharel, Nira Joshi, Naveen Paudyal, Ralph D Whitehead, Stanley Chitekwe, Zuguo Mei, Bikash Lamichhane, Aashima Garg and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Maternal & child nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 41% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 4 institutions in 3 countries.

Lindsey M LocksDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-0019-9545
Pradiumna DahalNutrition Section, United Nations Children's Fund (UNICEF), Kathmandu, Nepal.
Rajkumar PokharelNutrition Section, Government of Nepal Ministry of Health and Population, Kathmandu, Nepal.
Nira JoshiNew ERA, Kathmandu, Nepal.
Naveen PaudyalNutrition Section, United Nations Children's Fund (UNICEF), Kathmandu, Nepal.
Ralph D WhiteheadNutrition Branch, Division of Nutrition, Physical Activity, and Obesity, United States Centers of Disease Control and Prevention, Atlanta, Georgia, USA.
Stanley ChitekweNutrition Section, United Nations Children's Fund (UNICEF), Kathmandu, Nepal.
Zuguo MeiNutrition Branch, Division of Nutrition, Physical Activity, and Obesity, United States Centers of Disease Control and Prevention, Atlanta, Georgia, USA.
Bikash LamichhaneChild Health Division, Government of Nepal Ministry of Health and Population, Kathmandu, Nepal.
Aashima GargNutrition Section, United Nations Children's Fund (UNICEF) Headquarters, New York, New York, USA.
Maria Elena JefferdsNutrition Branch, Division of Nutrition, Physical Activity, and Obesity, United States Centers of Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-2652-4502
United Nations Children's Fund · USCenters for Disease Control and Prevention · USGovernment of Nepal · NPKathmandu University · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale programmes using micronutrient powders (MNPs) may not achieve maximum impact due to limited/inappropriate MNP coverage, consumption, and use. We identify predictors of MNP coverage, maternal knowledge of appropriate use, and child MNP consumption in Nepal. A cross-sectional survey was conducted in 2,578 mother-child pairs representative of children 6-23 months in two districts that were part of the post-pilot, scale-up of an integrated infant and young child feeding-MNP (IYCF-MNP) programme. Children aged 6-23 months were expected to receive 60 MNP sachets every 6 months from a female community health volunteer (FCHV) or health centre. Outcomes of interest were MNP coverage (ever received), maternal knowledge of appropriate use (correct response to seven questions), repeat coverage (receipt ≥ twice; among children 12-23 months who had received MNP at least once, n = 1342), and high intake (child consumed ≥75% of last distribution, excluding those with recent receipt/insufficient time to use 75% at recommended one-sachet-per-day dose, n = 1422). Multivariable log-binomial regression models were used to identify predictors of the four outcomes. Coverage, knowledge of appropriate use, and repeat coverage were 61.3%, 33.5%, and 45.9%, respectively. Among MNP receivers, 97.9% consumed MNP at least once and 38.9% of eligible children consumed ≥75% of last distribution. FCHV IYCF-MNP counselling was positively associated with knowledge, coverage, repeat coverage, and high intake; health worker counselling with knowledge and coverage indicators; and radio messages with coverage indicators only. FCHV counselling had the strongest association with knowledge, coverage, and high intake. Community-based counselling may play a vital role in improving coverage and intake in MNP programmes.

Indexed as

Dietary SupplementsHealth Knowledge, Attitudes, PracticeInfant Nutritional Physiological PhenomenaAdultCross-Sectional StudiesFemaleFood, FortifiedHumansInfantMaleMicronutrientsMothersNepalPowdersProgram EvaluationMicronutrientsPowdersadherenceanaemiacoverageimplementationinfant and young child feeding (IYCF)micronutrient powders (MNP)

Identifiers

PMID31622040
PMCPMC6856851
OpenAlexW2980402528

What OpenQuestion holds

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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.