Evidence map›Paper›PMID 35459178›Full record

ArticleMalaria journal2022

Health care provider practices in diagnosis and treatment of malaria in rural communities in Kisumu County, Kenya.

Wilfred Ouma Otambo, Julius O Olumeh, Kevin O Ochwedo, Edwin O Magomere, Isaiah Debrah, Collins Ouma, Patrick Onyango, Harrysone Atieli, Wolfgang R Mukabana, Chloe Wang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

16 authors at 7 institutions in 3 countries.

Wilfred Ouma OtamboDepartment of Zoology, Maseno University, Kisumu, Kenya. oumaotambo@gmail.com.ORCID http://orcid.org/0000-0003-3337-1206
Julius O OlumehInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Kevin O OchwedoInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Edwin O MagomereDepartment of Biochemistry and Molecular Biology, Egerton University, Njoro, Kenya.
Isaiah DebrahInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Collins OumaDepartment of Biomedical Sciences and Technology, Maseno University, Kisumu, Kenya.
Patrick OnyangoDepartment of Zoology, Maseno University, Kisumu, Kenya.
Harrysone AtieliInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Wolfgang R MukabanaInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
Chloe WangDepatment of Population Health and Disease Prevention, University of California, Irvine, CA, USA.
Ming-Chieh LeeDepatment of Population Health and Disease Prevention, University of California, Irvine, CA, USA.
Andrew K GithekoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Guofa ZhouDepatment of Population Health and Disease Prevention, University of California, Irvine, CA, USA.
John GithureInternational Centre of Excellence for Malaria Research, Tom Mboya University College of Maseno University, Homa Bay, Kenya.
James KazuraCentre for Global Health and Diseases, Case Western University Reserve, Cleveland, OH, USA.
Guiyun YanDepatment of Population Health and Disease Prevention, University of California, Irvine, CA, USA.
Maseno University · KEUniversity of California, Irvine · USUniversity of Nairobi · KECase Western Reserve University · USEgerton University · KEKenya Medical Research Institute · KEUniversity of Ghana · GH

Funding

Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2017 to 2026
$19.9M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
FIC NIH HHS D43 TW001505NIAID NIH HHS U19 AI129326NIH HHS D43 TW001505NIH HHS U19 AI129326
6 · The paper itself

Abstract

backgroundAccurate malaria diagnosis and appropriate treatment at local health facilities are critical to reducing morbidity and human reservoir of infectious gametocytes. The current study assessed the accuracy of malaria diagnosis and treatment practices in three health care facilities in rural western Kenya.

methodsThe accuracy of malaria detection and treatment recommended compliance was monitored in two public and one private hospital from November 2019 through March 2020. Blood smears from febrile patients were examined by hospital laboratory technicians and re-examined by an expert microscopists thereafter subjected to real-time polymerase chain reaction (RT-PCR) for quality assurance. In addition, blood smears from patients diagnosed with malaria rapid diagnostic tests (RDT) and presumptively treated with anti-malarial were re-examined by an expert microscopist.

resultsA total of 1131 febrile outpatients were assessed for slide positivity (936), RDT (126) and presumptive diagnosis (69). The overall positivity rate for Plasmodium falciparum was 28% (257/936). The odds of slide positivity was higher in public hospitals, 30% (186/624, OR:1.44, 95% CI = 1.05-1.98, p < 0.05) than the private hospital 23% (71/312, OR:0.69, 95% CI = 0.51-0.95, p < 0.05). Anti-malarial treatment was dispensed more at public hospitals (95.2%, 177/186) than the private hospital (78.9%, 56/71, p < 0.0001). Inappropriate anti-malarial treatment, i.e. artemether-lumefantrine given to blood smear negative patients was higher at public hospitals (14.6%, 64/438) than the private hospital (7.1%, 17/241) (p = 0.004). RDT was the most sensitive (73.8%, 95% CI = 39.5-57.4) and specific (89.2%, 95% CI = 78.5-95.2) followed by hospital microscopy (sensitivity 47.6%, 95% CI = 38.2-57.1) and specificity (86.7%, 95% CI = 80.8-91.0). Presumptive diagnosis had the lowest sensitivity (25.7%, 95% CI = 13.1-43.6) and specificity (75.0%, 95% CI = 50.6-90.4). RDT had the highest non-treatment of negatives [98.3% (57/58)] while hospital microscopy had the lowest [77.3% (116/150)]. Health facilities misdiagnosis was at 27.9% (77/276). PCR confirmed 5.2% (4/23) of the 77 misdiagnosed cases as false positive and 68.5% (37/54) as false negative.

conclusionsThe disparity in malaria diagnosis at health facilities with many slide positives reported as negatives and high presumptive treatment of slide negative cases, necessitates augmenting microscopic with RDTs and calls for Ministry of Health strengthening supportive infrastructure to be in compliance with treatment guidelines of Test, Treat, and Track to improve malaria case management.

Indexed as

AntimalarialsMalariaMalaria, FalciparumArtemetherArtemether, Lumefantrine Drug CombinationDiagnostic Tests, RoutineFeverHealth PersonnelHumansKenyaReal-Time Polymerase Chain ReactionRural PopulationSensitivity and SpecificityAntimalarialsArtemetherArtemether, Lumefantrine Drug CombinationBlood smearKenyaMalariaMisdiagnosisPresumptive treatmentTreatment guidelines

Identifiers

PMID35459178
PMCPMC9034626
OpenAlexW4224212213

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.