Evidence map›Paper›PMID 27931229›Full record

ArticleMalaria journal2016

A national health facility survey of malaria infection among febrile patients in Kenya, 2014.

Sophie Githinji, Abdisalan M Noor, Josephine Malinga, Peter M Macharia, Rebecca Kiptui, Ahmeddin Omar, Kiambo Njagi, Ejersa Waqo, Robert W Snow

Abstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

19 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

9 authors.

Sophie GithinjiKEMRI-Wellcome Trust Collaborative Programme, Nairobi, Kenya. sophiegithinji@gmail.com.
Abdisalan M NoorKEMRI-Wellcome Trust Collaborative Programme, Nairobi, Kenya.
Josephine MalingaKEMRI-Wellcome Trust Collaborative Programme, Nairobi, Kenya.
Peter M MachariaKEMRI-Wellcome Trust Collaborative Programme, Nairobi, Kenya.
Rebecca KiptuiNational Malaria Control Programme, Ministry of Health, Nairobi, Kenya.
Ahmeddin OmarNational Malaria Control Programme, Ministry of Health, Nairobi, Kenya.
Kiambo NjagiNational Malaria Control Programme, Ministry of Health, Nairobi, Kenya.
Ejersa WaqoNational Malaria Control Programme, Ministry of Health, Nairobi, Kenya.
Robert W SnowKEMRI-Wellcome Trust Collaborative Programme, Nairobi, Kenya.

Funding

Wellcome Trust 095127Wellcome Trust 103602
6 · The paper itself

Abstract

backgroundThe use of malaria infection prevalence among febrile patients at clinics has a potential to be a valuable epidemiological surveillance tool. However, routine data are incomplete and not all fevers are tested. This study was designed to screen all fevers for malaria infection in Kenya to explore the epidemiology of fever test positivity rates.

methodsRandom sampling was used within five malaria epidemiological zones of Kenya (i.e., high lake endemic, moderate coast endemic, highland epidemic, seasonal low transmission and low risk zones). The selected sample was representative of the number of hospitals, health centres and dispensaries within each zone. Fifty patients with fever presenting to each sampled health facility during the short rainy season were screened for malaria infection using a rapid diagnostic test (RDT). Details of age, pregnancy status and basic demographics were recorded for each patient screened.

results10,557 febrile patients presenting to out-patient clinics at 234 health facilities were screened for malaria infection. 1633 (15.5%) of the patients surveyed were RDT positive for malaria at 124 (53.0%) facilities. Infection prevalence among non-pregnant patients varied between malaria risk zones, ranging from 0.6% in the low risk zone to 41.6% in the high lake endemic zone. Test positivity rates (TPR) by age group reflected the differences in the intensity of transmission between epidemiological zones. In the lake endemic zone, 6% of all infections were among children aged less than 1 year, compared to 3% in the coast endemic, 1% in the highland epidemic zone, less than 1% in the seasonal low transmission zone and 0% in the low risk zone. Test positivity rate was 31% among febrile pregnant women in the high lake endemic zone compared to 9% in the coast endemic and highland epidemic zones, 3.2% in the seasonal low transmission zone and zero in the low risk zone.

conclusionMalaria infection rates among febrile patients, with supporting data on age and pregnancy status presenting to clinics in Kenya can provide invaluable epidemiological data on spatial heterogeneity of malaria and serve as replacements to more expensive community-based infection rates to plan and monitor malaria control.

Indexed as

Health FacilitiesAdolescentAdultCross-Sectional StudiesEpidemiological MonitoringFemaleFeverHumansKenyaMalariaMiddle AgedPregnancyPrevalenceRandom AllocationTopography, MedicalYoung Adult

Identifiers

PMID27931229
PMCPMC5146872

What OpenQuestion holds

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Registered trials

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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.