Evidence map›Paper›PMID 26391115›Full record

ArticleBMC pregnancy and childbirth2015

Kangaroo mother care: a multi-country analysis of health system bottlenecks and potential solutions.

Linda Vesel, Anne-Marie Bergh, Kate J Kerber, Bina Valsangkar, Goldy Mazia, Sarah G Moxon, Hannah Blencowe, Gary L Darmstadt, Joseph de Graft Johnson, Kim E Dickson and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03545204 (Implementation Research for Introducing Sustainable Uptake of cKMC Intervention Package in Rural Pakistan. A Community-based Cluster Randomized Controlled Trial.), which is not on this map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
17.2field-weighted citation impact, top 1% 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.

NCT03545204 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Implementation Research for Introducing Sustainable Uptake of cKMC Intervention Package in Rural Pakistan. A Community-based Cluster Randomized Controlled Trial.

TypeinterventionalSponsorAga Khan UniversityRan2019 to 2021Enrolled2,000ConditionsLow-Birth-Weight InfantArmsKangaroo Mother Care Package, Routine Standard Care
3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 5 syntheses or guidelines pooled it, 191 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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

14 authors at 9 institutions in 6 countries.

Linda Vesel
Anne-Marie Bergh
Kate J Kerber
Bina Valsangkar
Goldy Mazia
Sarah G Moxon
Hannah Blencowe
Gary L Darmstadt
Joseph de Graft Johnson
Kim E Dickson
Juan Ruiz Peláez
Severin von Xylander
Joy E Lawn
KMC Research Acceleration Group
Save the Children · USUnited States Agency for International Development · USFundación Con Vida · COGlobal Stem cell & Regenerative medicine Acceleration Center · KRLondon School of Hygiene & Tropical Medicine · GBStanford University · USUnited Nations Children's Fund · USUniversity of Pretoria · ZAWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPreterm birth is now the leading cause of under-five child deaths worldwide with one million direct deaths plus approximately another million where preterm is a risk factor for neonatal deaths due to other causes. There is strong evidence that kangaroo mother care (KMC) reduces mortality among babies with birth weight <2000 g (mostly preterm). KMC involves continuous skin-to-skin contact, breastfeeding support, and promotion of early hospital discharge with follow-up. The World Health Organization has endorsed KMC for stabilised newborns in health facilities in both high-income and low-resource settings. The objectives of this paper are to: (1) use a 12-country analysis to explore health system bottlenecks affecting the scale-up of KMC; (2) propose solutions to the most significant bottlenecks; and (3) outline priority actions for scale-up.

methodsThe bottleneck analysis tool was applied in 12 countries in Africa and Asia as part of the Every Newborn Action Plan process. Country workshops involved technical experts to complete the survey tool, which is designed to synthesise and grade health system "bottlenecks", factors that hinder the scale-up, of maternal-newborn intervention packages. We used quantitative and qualitative methods to analyse the bottleneck data, combined with literature review, to present priority bottlenecks and actions relevant to different health system building blocks for KMC.

resultsMarked differences were found in the perceived severity of health system bottlenecks between Asian and African countries, with the former reporting more significant or very major bottlenecks for KMC with respect to all the health system building blocks. Community ownership and health financing bottlenecks were significant or very major bottlenecks for KMC in both low and high mortality contexts, particularly in South Asia. Significant bottlenecks were also reported for leadership and governance and health workforce building blocks.

conclusionsThere are at least a dozen countries worldwide with national KMC programmes, and we identify three pathways to scale: (1) champion-led; (2) project-initiated; and (3) health systems designed. The combination of all three pathways may lead to more rapid scale-up. KMC has the potential to save lives, and change the face of facility-based newborn care, whilst empowering women to care for their preterm newborns.

Indexed as

LeadershipAfricaAsiaCapacity BuildingCommunity ParticipationDelivery of Health CareEquipment and SuppliesHealthcare FinancingHealth Information SystemsHumansInfant, NewbornKangaroo-Mother Care MethodPremature BirthWorkforce

Identifiers

PMID26391115
PMCPMC4577801
OpenAlexW1821530883

What OpenQuestion holds

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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.