Evidence map›Paper›PMID 40018531›Full record

ArticleBMJ public health2024

Exploring the feasibility of a culturally tailored infant nutrition intervention: a qualitative study of perspectives from community facilitators and attendees in a pilot randomised controlled trial - Nurture Early for Optimal Nutrition (NEON) in East London.

Logan Manikam, Priyanka Patil, Ummi Bello, Subarna Chakraborty, Sumire Fujita, Joanna Drazdzewska, Oyinlola Oyebode, Claire Llewellyn, Kelley Webbmartin, Carol Irish and 8 more

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Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
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

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

18 authors.

Logan ManikamResearch Department of Epidemiology and Public Health, University College London, London, UK.ORCID 0000-0001-5288-3325
Priyanka PatilResearch Department of Epidemiology and Public Health, University College London, London, UK.
Ummi BelloAceso Global Health Consultants Limited, London, UK.
Subarna ChakrabortyAceso Global Health Consultants Limited, London, UK.
Sumire FujitaAceso Global Health Consultants Limited, London, UK.
Joanna DrazdzewskaWomen and Children First, London, UK.
Oyinlola OyebodeWolfson Institute of Population Health, Queen Mary University of London Faculty of Medicine and Dentistry, London, UK.
Claire LlewellynUniversity College London Research Department of Behavioural Science and Health, London, UK.
Kelley WebbmartinLondon Borough of Newham, London, UK.
Carol IrishChildren's Health 0-19 Service, London Borough of Newham, London, UK.
Mfon ArchibongChildren's Health 0-19 Service, London Borough of Newham, London, UK.
Jenny GilmourMile End Hospital, London, UK.
Phoebe KalungiMile End Hospital, London, UK.
Neha BaturaInstitute for Global Health, University College London, London, UK.
Rana ConwayUniversity College London Research Department of Behavioural Science and Health, London, UK.
Monica LakhanpaulUniversity College London Population Policy and Practice Research and Teaching Department, London, UK.
Michelle HeysUniversity College London Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0002-1458-505X
NEON Steering Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Appropriate and healthy feeding practices can enhance a child's health, prevent obesity and reduce chronic metabolic disease risks. Given the ethnic variations in feeding practices and metabolic risk, interventions must be community specific. Culturally tailored grassroots interventions targeting infant feeding can induce behavioural changes, mitigating chronic metabolic disease risks in later life.The aim of this study was to explore participant feedback and inform intervention delivery methods within marginalised communities. Methods: A pilot three-arm cluster randomised controlled trial was conducted in the Tower Hamlets and Newham boroughs of London, involving community participatory learning and action groups. The study recruited 186 South Asian (Indian, Bangladeshi, Pakistani and Sri Lankan) mothers or carers of children aged 0-2 years. Participants in intervention arms were invited to either face to face or online intervention arms, facilitated by trained multilingual community facilitators (CFs), offering culturally informed discussions on child nutrition and care practices. The qualitative study was embedded within this trial, collecting feedback through interviews and focus groups. Thematic analysis was employed to identify key themes, focusing on intervention fidelity and acceptance. Results: Of the initial attendees, 42 (from the remaining 153 at the study's conclusion) and 9 CFs offered feedback on the intervention's delivery and suggestions for enhancing community-based interventions' success. Key findings highlighted the need for a more flexible approach to boost participation and the significance of providing accessible, translated documents and resources. Participants expressed a strong preference for a hybrid model of intervention delivery, combining face-to-face and online sessions to accommodate diverse needs. Conclusion: Parenting interventions, particularly for new mothers, may engage more of the target population by adopting a hybrid design. This would provide attendees with the flexibility to select the delivery method, session timings and the option to participate at any stage of the intervention. The study underscores the importance of cultural tailoring and flexible delivery methods in enhancing participation and engagement in community-based health interventions.

Indexed as

Community HealthEpidemiologic Research DesignPublic Health

Identifiers

PMID40018531
PMCPMC11816512

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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.