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Evaluating a 24-h mobile reporting system for malaria notifications in comparison with a paper-based system in South Africa, 2015

Overview of attention for article published in Malaria Journal, August 2018
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
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Title
Evaluating a 24-h mobile reporting system for malaria notifications in comparison with a paper-based system in South Africa, 2015
Published in
Malaria Journal, August 2018
DOI 10.1186/s12936-018-2451-x
Pubmed ID
Authors

Ramokone Ednah Baloyi, Mbavhalelo Bridget Shandukani, Rebecca Graffy, Eunice Misiani, Natalie Mayet, Eric Mabunda, Aaron Mabuza, Bheki Qwabe, Bongani Ngwenyama, Carl Reddy, Devanand Moonasar

Abstract

As South Africa strives to achieve malaria elimination by 2018 (zero local cases) the country needs to strengthen its disease surveillance system by reducing the timeliness from case diagnosis to notification of key stakeholders in the malaria programme. This study evaluated the feasibility of a 24-h mobile reporting system, designed for speeding up malaria notifications, from primary healthcare facilities to district, provincial, and national malaria programmes in South Africa. A prospective descriptive study utilizing primary data collected from structured interviews with healthcare workers in public healthcare facilities was used to compare two reporting systems (24-h mobile reporting system and the paper-based reporting system) in malaria endemic provinces (Limpopo, Mpumalanga and KwaZulu-Natal). Data on completeness of reporting, simplicity, user acceptability and technical limitations were analysed. A Wilcoxon signed-rank test was used to compare the time difference between the two reporting systems. There were 1819 cases of malaria reported through the paper-based system, and 63.2% (1149) of those cases were also reported through the 24-h mobile reporting system. Out of the 272 healthcare workers who were interviewed, 40% (108) had seen malaria patients and reported a case through the 24-h mobile reporting system. The median time for cases to be reported through the 24-h mobile reporting system was significantly shorter at < 1 day (range < 1 to 31 days) compared to the paper-based system at 3 days (range 2 to > 39 days) (p < 0.001). It was found that 26% (28) were able to use the system and send reports within 2 min, 94% (256) were willing to continue to use the system. Of the 108 healthcare workers who reported a case, 18.5% (20) experienced network challenges. The 24-h mobile reporting system is user friendly and trained healthcare workers are willing to use the system, despite network limitations. The 24-h mobile reporting system reduces the time required for diagnosed cases to be notified by the health care facility to district, provincial and national levels. The 24-h mobile reporting system is a feasible option for malaria notification in South Africa and will assist with early detection of malaria outbreaks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Postgraduate 7 10%
Student > Ph. D. Student 5 7%
Other 9 13%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 8 12%
Computer Science 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Engineering 3 4%
Other 11 16%
Unknown 22 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2018.
All research outputs
#13,175,336
of 23,577,654 outputs
Outputs from Malaria Journal
#3,028
of 5,653 outputs
Outputs of similar age
#157,096
of 335,237 outputs
Outputs of similar age from Malaria Journal
#53
of 99 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,237 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.