Evidence map›Paper›PMID 24663961›Full record

Trial reportPloS one2014

Major improvements in the quality of malaria case-management under the "test and treat" policy in Kenya.

Dejan Zurovac, Sophie Githinji, Dorothy Memusi, Samuel Kigen, Beatrice Machini, Alex Muturi, Gabriel Otieno, Robert W Snow, Andrew Nyandigisi

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
9.3field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 75 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

9 authors at 3 institutions in 3 countries.

Dejan ZurovacMalaria Public Health Department, Kenya Medical Research Institute-Wellcome Trust-University of Oxford Research Programme, Nairobi, Kenya; Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Center for Global Health and Development, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Sophie GithinjiMalaria Public Health Department, Kenya Medical Research Institute-Wellcome Trust-University of Oxford Research Programme, Nairobi, Kenya.
Dorothy MemusiDivision of Malaria Control, Ministry of Health, Nairobi, Kenya.
Samuel KigenDivision of Malaria Control, Ministry of Health, Nairobi, Kenya.
Beatrice MachiniDivision of Malaria Control, Ministry of Health, Nairobi, Kenya.
Alex MuturiManagement Sciences for Health, Nairobi, Kenya.
Gabriel OtienoMalaria Public Health Department, Kenya Medical Research Institute-Wellcome Trust-University of Oxford Research Programme, Nairobi, Kenya.
Robert W SnowMalaria Public Health Department, Kenya Medical Research Institute-Wellcome Trust-University of Oxford Research Programme, Nairobi, Kenya; Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.
Andrew NyandigisiDivision of Malaria Control, Ministry of Health, Nairobi, Kenya.
Kenya Medical Research Institute · KEMinistry of Health · KEPartners for Health and Development in Africa · KE

Funding

Wellcome TrustWellcome Trust 079080Wellcome Trust 092654
6 · The paper itself

Abstract

backgroundMonitoring implementation of the "test and treat" case-management policy for malaria is an important component of all malaria control programmes in Africa. Unfortunately, routine information systems are commonly deficient to provide necessary information. Using health facility surveys we monitored health systems readiness and malaria case-management practices prior to and following implementation of the 2010 "test and treat" policy in Kenya. METHODS/

findingsBetween 2010 and 2013 six national, cross-sectional, health facility surveys were undertaken. The number of facilities assessed ranged between 172 and 176, health workers interviewed between 216 and 237 and outpatient consultations for febrile patients evaluated between 1,208 and 2,408 across six surveys. Comparing baseline and the last survey results, all readiness indicators showed significant (p<0.005) improvements: availability of parasitological diagnosis (55.2% to 90.7%); RDT availability (7.5% to 69.8%); total artemether-lumefantrine (AL) stock-out (27.2% to 7.0%); stock-out of one or more AL packs (59.5% to 21.6%); training coverage (0 to 50.2%); guidelines access (0 to 58.1%) and supervision (17.9% to 30.8%). Testing increased by 34.0% (23.9% to 57.9%; p<0.001) while testing and treatment according to test result increased by 34.2% (15.7% to 49.9%; p<0.001). Treatment adherence for test positive patients improved from 83.3% to 90.3% (p = 0.138) and for test negative patients from 47.9% to 83.4% (p<0.001). Significant testing and treatment improvements were observed in children and adults. There was no difference in practices with respect to the type and result of malaria test (RDT vs microscopy). Of eight dosing, dispensing and counseling tasks, improvements were observed for four tasks. Overall AL use for febrile patients decreased from 63.5% to 35.6% (p<0.001).

conclusionsMajor improvements in the implementation of "test and treat" policy were observed in Kenya. Some gaps towards universal targets still remained. Other countries facing similar needs and challenges may consider health facility surveys to monitor malaria case-management.

Indexed as

Data CollectionDelivery of Health CareGuideline AdherenceMalariaQuality ImprovementAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantKenyaMale

Identifiers

PMID24663961
PMCPMC3963939
OpenAlexW2078574443

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.