Evidence map›Paper›PMID 37559963›Full record

ArticleBMJ nutrition, prevention & health2023

Qualitative assessment of programmatic constraints in delivery of effective interventions for improving maternal nutrition in Bangladesh.

Md Golam Rasul, Mahamudul Hasan, Daluwar Hossain, Fariha Haseen, Subhasish Das, Tahmeed Ahmed

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Article in BMJ nutrition, prevention & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Md Golam RasulNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Mahamudul HasanNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.ORCID 0000-0002-2683-9803
Daluwar HossainNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Fariha HaseenDepartment of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Subhasish DasNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.ORCID 0000-0002-7852-6569
Tahmeed AhmedNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Maternal undernutrition is highly prevalent in most of the developing countries. Prevalence of both extremes of maternal malnutrition (undernutrition and overweight/obesity) are common in those countries. For Bangladesh, the scenario is not different. The Government of Bangladesh recognises maternal nutrition as a public health priority and addresses the issue in its policies and programmes. We identified and analysed the existing maternal nutrition programmes and determined the bottlenecks in implementing the programmes in Bangladesh using qualitative approach. Methods: We followed a qualitative research approach and conducted 25 key informant interviews with the programme managers and policymakers, 10 in-depth interviews with the service providers and six focus group discussions with the pregnant women to identify the constraints of programme implementation. We analysed data using thematic and inductive approaches of qualitative research methods. Results: We have found that successful implementation of maternal nutrition intervention was being hampered by both the demand and supply side issues. On the demand side, major constraints were financial inability of the families to avail maternal nutrition-related services, ignorance of the family members and cultural barriers of using maternal nutrition-related services. Lack of priority and heavy workload of the service providers, lack of human resources, poor monitoring system, lack of medicine to supply and incoordination have been identified as major supply-side constraints in providing maternal nutrition-related interventions in Bangladesh. Conclusion: Both supply side and demand side issues are responsible for the existing bottlenecks in implementing maternal nutrition-related programmes in Bangladesh. Findings of this study will help the policymakers to learn about the programmatic constraints regarding maternal nutrition services in Bangladesh.

Indexed as

nutrient deficienciesnutrition assessment

Identifiers

PMID37559963
PMCPMC10407389

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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.