Evidence map›Paper›PMID 30327401›Full record

ArticleBMJ open2018

Factors influencing rapid progress in child health in post-conflict Liberia: a mixed methods country case study on progress in child survival, 2000-2013.

Marie A Brault, Stephen B Kennedy, Connie A Haley, Adolphus T Clarke, Musu C Duworko, Phanuel Habimana, Sten H Vermund, Aaron M Kipp, Kasonde Mwinga

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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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

9 authors.

Marie A BraultDepartment of Anthropology, University of Connecticut, Storrs, Connecticut, USA.
Stephen B KennedyUniversity of Liberia-Pacific Institute for Research and Evaluation (UL-PIRE) Africa Center, University of Liberia, Monrovia, Liberia.
Connie A HaleyVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, USA.
Adolphus T ClarkeLiberia Ministry of Health and Social Welfare, Monrovia, Liberia.
Musu C DuworkoLiberia Country office, World Health Organization, Monrovia, Liberia.
Phanuel HabimanaRegional Office for Africa, World Health Organization, Brazzaville, Congo.
Sten H VermundVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, USA.
Aaron M KippVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, USA.
Kasonde MwingaRegional Office for Africa, World Health Organization, Brazzaville, Congo.

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI John Edward Pachankis · 2001 to 2026
$48.5M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
UCLA Implementation Science and Substance Use Research and Education (ISSURE) ProgramR25DA035692 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIMOTHY W FONG, GAIL E. WYATT · 2013 to 2026
$3.9M
NCATS NIH HHS UL1 TR000445NIDA NIH HHS R25 DA035692NIMH NIH HHS P30 MH062294World Health Organization 001
6 · The paper itself

Abstract

objectivesOnly 12 countries in the WHO's African region met Millennium Development Goal 4 (MDG 4) to reduce under-five mortality by two-thirds by 2015. Given the variability across the African region, a four-country mixed methods study was undertaken to examine barriers and facilitators of child survival prior to 2015. Liberia was selected for an in-depth case study due to its success in reducing under-five mortality by 73% and thus successfully meeting MDG 4. Liberia's success was particularly notable given the civil war that ended in 2003. We examined some factors contributing to their reductions in under-five mortality.

designA case study mixed methods approach drawing on data from quantitative indicators, national documents and qualitative interviews was used to describe factors that enabled Liberia to rebuild their maternal, neonatal and child health (MNCH) programmes and reduce under-five mortality following the country's civil war.

settingThe interviews were conducted in Monrovia (Montserrado County) and the areas in and around Gbarnga, Liberia (Bong County, North Central region).

participantsKey informant interviews were conducted with Ministry of Health officials, donor organisations, community-based organisations involved in MNCH and healthcare workers. Focus group discussions were conducted with women who have experience accessing MNCH services.

resultsThree prominent factors contributed to the reduction in under-five mortality: national prioritisation of MNCH after the civil war; implementation of integrated packages of services that expanded access to key interventions and promoted intersectoral collaborations; and use of outreach campaigns, community health workers and trained traditional midwives to expand access to care and improve referrals.

conclusionsAlthough Liberia experiences continued challenges related to limited resources, Liberia's effective strategies and rapid progress may provide insights for reducing under-five mortality in other post-conflict settings.

Indexed as

Healthcare DisparitiesHealth PolicyChild HealthChild Health ServicesChild MortalityChild, PreschoolCommunity Health WorkersFemaleFocus GroupsHealth EducationHumansInfantInfant MortalityInfant, NewbornLiberiaMaternal Health Servicescommunity child healthinternational health servicespublic healthqualitative research

Identifiers

PMID30327401
PMCPMC6196853

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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.