Evidence map›Paper›PMID 29115991›Full record

ArticleMalaria journal2017

Evaluation of the Deki Reader™, an automated RDT reader and data management device, in a household survey setting in low malaria endemic southwestern Uganda.

Caesar Oyet, Michelle E Roh, Gertrude N Kiwanuka, Patrick Orikiriza, Martina Wade, Sunil Parikh, Juliet Mwanga-Amumpaire, Yap Boum

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Caesar OyetMbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda. caesaroyet@yahoo.com.
Michelle E RohYale School of Public Health, 60 College Street, New Haven, CT, 06520, USA.
Gertrude N KiwanukaMbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
Patrick OrikirizaEpicentre Mbarara Research Centre, P.O. Box 1956, Mbarara, Uganda.
Martina WadeYale School of Public Health, 60 College Street, New Haven, CT, 06520, USA.
Sunil ParikhYale School of Public Health, 60 College Street, New Haven, CT, 06520, USA.
Juliet Mwanga-AmumpaireMbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
Yap BoumMbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
Mbarara University of Science and Technology · UGYale University · USEpicentre Uganda · UG

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Medical Education for Services to All Ugandans (MESAU)R24TW008886 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2010 to 2015
$9.2M
FIC NIH HHS R24 TW008886NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundEarly diagnosis of suspected malaria cases with a rapid diagnostic test (RDT) has been shown to be an effective malaria control tool used in many resource-constrained settings. However, poor quality control and quality assurance hinder the accurate reporting of malaria diagnoses. Recent use of a portable, battery operated RDT reader (Deki Reader™, Fio Corporation) has shown to have high agreement with visual inspection across diverse health centre settings, however evidence of its feasibility and usability during cross sectional surveys are limited. This study aimed to evaluate the performance of the Deki Reader™ in a cross-sectional survey of children from southwestern Uganda.

methodsA two-stage, stratified cluster sampling survey was conducted between July and October 2014 in three districts of southwestern Uganda, with varying malaria transmission intensities. A total of 566 children aged 6-59 months were included in the analysis. Blood samples were collected and tested for malaria using: the SD Bioline Malaria Ag Pf/Pan RDT and microscopy. Results were compared between visual inspection of the RDT and by the Deki Reader™. Diagnostic performance of both methods were compared to gold-standard microscopy.

resultsThe sensitivity and specificity of the Deki Reader™ was 94.1% (95% CI 69.2-99.6%) and 95.6% (95% CI 93.4-97.1%), respectively. The overall percent agreement between the Deki Reader™ and visual RDT inspection was 98.9% (95% CI 93.2-99.8), with kappa statistic of 0.92 (95% CI 0.85-0.98).

conclusionsThe findings from this study suggest that the Deki Reader™ is comparable to visual inspection and performs well in detecting microscopy-positive Plasmodium falciparum cases in a household survey setting. However, the reader's performance was highly dependent on ensuring adequate battery life and a work environment free of dirt particles.

Indexed as

Child, PreschoolCross-Sectional StudiesDiagnostic Tests, RoutineEarly DiagnosisElectronic Data ProcessingEpidemiological MonitoringFemaleHumansInfantMalariaMaleSensitivity and SpecificityUgandaDeki Reader™MalariaMalaria surveillanceRapid diagnostic testUganda

Identifiers

PMID29115991
PMCPMC5678817
OpenAlexW2768053336

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.