Evidence map›Paper›PMID 31162734›Full record

ArticleActa paediatrica (Oslo, Norway : 1992)2019

Health Extension Workers' diagnostic accuracy for common childhood illnesses in four regions of Ethiopia: a cross-sectional study.

Theodros Getachew, Solomon Mekonnen, Mezgebu Yitayal, Lars Åke Persson, Della Berhanu

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Article in Acta paediatrica (Oslo, Norway : 1992), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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0cells of the map it votes in
18citing 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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

5 authors.

Theodros GetachewHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0002-6486-0531
Solomon MekonnenCollege of Medicine and Health Science, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Mezgebu YitayalCollege of Medicine and Health Science, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Lars Åke PerssonHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Della BerhanuHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.ORCID 0000-0002-4984-893X

Funding

The Bill and Melinda Gates Foundation OPP1132551
6 · The paper itself

Abstract

aimThe Ethiopian primary care of sick children is provided within the integrated Community Case Management of childhood illnesses by Health Extension Workers (HEW). There is limited knowledge whether this cadre correctly assess and classify common diseases. The aim was to study their ability to correctly classify common childhood illnesses.

methodsA survey was conducted from December 2016 to February 2017 in four regions of Ethiopia. Observations of the HEWs' assessment and classification of sick children were followed by child re-examination by a trained health officer.

resultsThe classification by the HEWs of 620 sick children as compared to the re-examiner had a sensitivity of 89% and specificity of 94% for diarrhoea, sensitivity 52% and specificity 91% for febrile disorders, and a sensitivity of 59% and specificity of 94% for acute respiratory tract infection. Malnutrition and ear infection had a sensitivity of 39 and 61%, and a specificity of 99 and 99%, respectively.

conclusionMost cases of diarrhoea were correctly classified, while other illnesses were not frequently identified. The identification of malnutrition was especially at fault. These findings suggest that a significant number of sick children were undiagnosed that could lead to absent or incorrect management and treatment.

Indexed as

Community Health WorkersChild, PreschoolCross-Sectional StudiesDiarrheaDysenteryEthiopiaFemaleFeverHumansInfantMalariaMaleMalnutritionOtitisReproducibility of ResultsRespiratory Tract InfectionsChildhood illnessesCommunity Health WorkerHealth Extension WorkerIntegrated community case managementQuality of care

Identifiers

PMID31162734
PMCPMC7154548

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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.