Evidence map›Paper›PMID 31362946›Full record

ArticleArchives of disease in childhood2020

Improved care and survival in severe malnutrition through eLearning.

Sunhea Choi, Ho Ming Yuen, Reginald Annan, Michele Monroy-Valle, Trevor Pickup, Nana Esi Linda Aduku, Andy Pulman, Carmen Elisa Portillo Sermeño, Alan A Jackson, Ann Ashworth

Open access · hybridAbstract read
In one paragraph

Article in Archives of disease in childhood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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.

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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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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 7 institutions in 6 countries.

Sunhea ChoiHuman Development and Health, University of Southampton, Southampton, UK.
Ho Ming YuenFaculty of Medicine, University of Southampton, Southampton, UK.
Reginald AnnanDepartment of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Michele Monroy-ValleFacultad de Ciencias de la Salud, Universidad Rafael Landivar, Guatemala City, Guatemala.
Trevor PickupFaculty of Medicine, University of Southampton, Southampton, UK.
Nana Esi Linda AdukuDepartment of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Andy PulmanFaculty of Medicine, University of Southampton, Southampton, UK.
Carmen Elisa Portillo SermeñoDepartment of Nutrition and Diets, Hospital Nacional General "Dr. Juan José Fernandez" Zacamil, San Salvador, El Salvador.
Alan A JacksonNational Institutes for Health Research Biomedical Research Centre, University of Southampton, Southampton, UK.
Ann AshworthDepartment of Population Health, London School of Hygiene Tropical Medicine, London, UK.
Faculty (United Kingdom) · GBHealth and Human Development (2HD) Research Network · CMHospital Fernández · ARKwame Nkrumah University · ZMKwame Nkrumah University of Science and Technology · GHNIHR Biomedical Research Centre at The Royal Marsden and the ICRRafael Landívar University · GT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScaling up improved management of severe acute malnutrition (SAM) has been identified as the nutrition intervention with the greatest potential to reduce child mortality but it requires improved operational capacity.

objectiveTo investigate whether an eLearning course, which can be used at scale in resource-poor countries, leads to improved diagnosis, clinical management and survival of children with SAM.

designA 2-year preintervention and postintervention study between January 2015 and February 2017.

settingEleven healthcare facilities: nine in Ghana, one in Guatemala, and one in El Salvador.

interventionScenario-based eLearning course 'Caring for infants and young children with severe malnutrition'.

main outcome measuresIdentification of children with SAM, quality of care, case-fatality rate.

methodsMedical record reviews of children aged 0-60 months attending eleven hospitals between August 2014 and July 2016, observations in paediatric wards, and interviews with senior hospital personnel.

resultsPostintervention there was a significant improvement in the identification of SAM: more children had the requisite anthropometric data (34.9% (1300/3723) vs 15.9% (629/3953)) and more were correctly diagnosed (58.5% (460/786) vs 47.1% (209/444)). Improvements were observed in almost all aspects of the WHO 'Ten Steps' of case-management, and case-fatality fell from 5.8% (26/449) to 1.9% (14/745) (Post-pre difference=-3.9%, 95% CI -6.6 to -1.7, p<0.001).

conclusionsHigh quality, interactive eLearning can be an effective intervention in scaling up capacity building of health professionals to manage SAM effectively, leading to a reduction in mortality.

Indexed as

Computer-Assisted InstructionQuality ImprovementCapacity BuildingChild Nutrition DisordersChild, PreschoolEl SalvadorGhanaGuatemalaHealth PolicyHumansInfantQuality of Health CareTreatment Outcomecapacity buildingeLearningsevere acute malnutritionWHO ten steps

Identifiers

PMID31362946
PMCPMC6951232
OpenAlexW2966289412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.