Evidence map›Paper›PMID 30791909›Full record

ArticleMalaria journal2019

Effectiveness of 24-h mobile reporting tool during a malaria outbreak in Mpumalanga Province, South Africa.

Craig Davies, Rebecca Graffy, Mbavhalelo Shandukani, Ednah Baloyi, Laura Gast, Gerdalize Kok, Frans Mbokazi, Alpheus Zita, Mandla Zwane, Ray Magagula and 8 more

Abstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

18 authors.

Craig DaviesMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
Rebecca GraffyMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
Mbavhalelo ShandukaniDepartment of Health, Malaria and Other Vector Borne Diseases, Pretoria, South Africa.
Ednah BaloyiDepartment of Health, Malaria and Other Vector Borne Diseases, Pretoria, South Africa.
Laura GastMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
Gerdalize KokMpumalanga Department of Health, Malaria Control Programme, Mbombela, South Africa.
Frans MbokaziMpumalanga Department of Health, Malaria Control Programme, Mbombela, South Africa.
Alpheus ZitaMpumalanga Department of Health, Malaria Control Programme, Mbombela, South Africa.
Mandla ZwaneCentre for Disease Control, Mpumalanga Department of Health and Social Development, Mbombela, South Africa.
Ray MagagulaMpumalanga Department of Health, Malaria Control Programme, Mbombela, South Africa.
Aaron MabuzaMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
Wayne RamkrishnaDepartment of Health, Malaria and Other Vector Borne Diseases, Pretoria, South Africa.
Natashia MorrisMedical Research Council, Durban, South Africa.
Jacqueline PorteousMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
George ShirreffMalaria Programme, Clinton Health Access Initiative, Pretoria, South Africa.
Lucille BlumbergDivision of Public Health Surveillance and Response, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa.
Eunice MisianiDepartment of Health, Malaria and Other Vector Borne Diseases, Pretoria, South Africa.
Devanand MoonasarDepartment of Health, Malaria and Other Vector Borne Diseases, Pretoria, South Africa. Patric.Moonasar@health.gov.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs surveillance is a key strategy for malaria elimination in South Africa, ensuring strong surveillance systems is a National Department of Health priority. Historically, real time tracking of case trends and reporting within 24 h-a requirement in South Africa's National surveillance guidelines-has not been possible. To enhance surveillance and response efficiency, a mobile surveillance tool, MalariaConnect, was developed using Unstructured Supplementary Service Data (USSD) technology. It was rolled out in health facilities in malaria endemic areas of South Africa to provide 24-h reporting of malaria cases.

methodsTo evaluate the efficiency of the mobile tool to detect an outbreak data were extracted from the paper based and MalariaConnect reporting systems in Bushbuckridge from 1 January to 18 June 2017. These data were subject to time series analyses to determine if MalariaConnect provided sufficient data reliably to detect increasing case trends reported through the paper system. The Chi squared test was used to determine goodness of fit between the following indicator data generated using MalariaConnect and paper reporting systems: timeliness, completeness, and precision.

resultsMalariaConnect adequately tracked case trends reported through the paper system. Timeliness of reporting increased significantly using MalariaConnect with 0.63 days to notification compared to 5.65 days using the paper-system (p < 0.05). The completeness of reporting was significantly higher for the paper system (100% completion; p < 0.05), compared to confirmed MalariaConnect cases (61%). There was a moderate association between data precision and the reporting system (p < 0.05). MalariaConnect provided an effective way of reliably and accurately identifying the onset of the malaria outbreak in Bushbuckridge.

conclusionTimeliness significantly improved using MalariaConnect and in a malaria elimination setting, can be used to markedly improve case investigation and response activities within the recommended 72-h period. Although data completeness and precision were lower compared to paper reporting, MalariaConnect data can be used to trigger outbreak responses.

Indexed as

Disease OutbreaksEpidemiological MonitoringDisease NotificationHumansMalariaSouth AfricaSpatio-Temporal AnalysisTime FactorsMalariaMalariaConnectMobile reportingOutbreakSouth AfricaSurveillance

Identifiers

PMID30791909
PMCPMC6385402

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.