Evidence map›Paper›PMID 34222761›Full record

ArticleCurrent developments in nutrition2021

Understanding Implementation and Improving Nutrition Interventions: Barriers and Facilitators of Using Data Strategically to Inform the Implementation of Maternal Nutrition in Uttar Pradesh, India.

Melissa F Young, Ahad Bootwala, Shivani Kachwaha, Rasmi Avula, Sebanti Ghosh, Praveen Kumar Sharma, Vishal Dev Shastri, Thomas Forissier, Purnima Menon, Phuong H Nguyen

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current developments in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03378141 (Evaluate a Feasibility Study of Integrating Maternal Nutrition Interventions in Existing Reproductive, Maternal, Newborn and Child Health Services in Uttar Pradesh, India), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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.

NCT03378141 nacompletednot on this map

Evaluate a Feasibility Study of Integrating Maternal Nutrition Interventions in Existing Reproductive, Maternal, Newborn and Child Health Services in Uttar Pradesh, India

TypeinterventionalSponsorInternational Food Policy Research InstituteRan2017 to 2020Enrolled8,000ConditionsAnemia, Undernutrition, Underweight, StuntingArmsMaternal Nutrition Behavior change
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Melissa F YoungHubert Department of Global Health, Emory University, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-2768-1673
Ahad BootwalaHubert Department of Global Health, Emory University, Atlanta, GA, USA.
Shivani KachwahaInternational Food Policy Research Institute, Washington, DC, USA.
Rasmi AvulaInternational Food Policy Research Institute, Washington, DC, USA.
Sebanti GhoshFHI360, Washington, DC, USA.
Praveen Kumar SharmaFHI360, Washington, DC, USA.
Vishal Dev ShastriFHI360, Washington, DC, USA.
Thomas ForissierFHI360, Washington, DC, USA.
Purnima MenonInternational Food Policy Research Institute, Washington, DC, USA.ORCID https://orcid.org/0000-0001-5988-2894
Phuong H NguyenInternational Food Policy Research Institute, Washington, DC, USA.
Family Health International 360 · USInternational Food Policy Research Institute · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn response to the high levels of maternal nutrition in Uttar Pradesh, Alive & Thrive (A&T) aimed to strengthen the delivery of nutrition interventions through the government antenatal care platform, including leveraging ongoing data collection to improve program delivery and reach (registered at clinicaltrials.gov as NCT03378141). However, we have a limited understanding of providers' experiences and challenges in collecting and using data for decision making.

objectiveThe aim was to identify barriers and facilitators to the

methodsIn-depth interviews (

resultsData were used to understand the reach of maternal nutrition services, estimate the demand for supplements, and guide identification of areas of low FLW performance. About half of supervisors reported using data to identify areas of improvement; however, only 23% reported using data to inform decision making. Facilitators of data collection and use included collaboration between health department officials, perceived importance of block ranking, and monthly review meetings with staff and supervisors to review and discuss data. Barriers to data collection and use included human resource gaps, inadequate technology infrastructure, FLW educational level, political structure, and lack of cooperation between FLWs and supervisors.

conclusionsThe use of data for decision making is critical for supporting intervention planning and providing targeted supervision and support for FLWs. Despite intensive data-collection efforts, the use of data to inform decision making remains limited. Collaboration facilitated data collection and use, but structural barriers such as staff vacancies need to be addressed to improve the implementation of maternal nutrition interventions.

Indexed as

data useimplementation scienceIndiamaternal nutritionqualitative research

Identifiers

PMID34222761
PMCPMC8242137
OpenAlexW3171175393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.