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Health information system strengthening and malaria elimination in Papua New Guinea

Overview of attention for article published in Malaria Journal, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
8 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Health information system strengthening and malaria elimination in Papua New Guinea
Published in
Malaria Journal, July 2017
DOI 10.1186/s12936-017-1910-0
Pubmed ID
Authors

Alexander Rosewell, Leo Makita, David Muscatello, Lucy Ninmongo John, Sibauk Bieb, Ross Hutton, Sundar Ramamurthy, Phil Shearman

Abstract

The objective of the study was to describe an m-health initiative to strengthen malaria surveillance in a 184-health facility, multi-province, project aimed at strengthening the National Health Information System (NHIS) in a country with fragmented malaria surveillance, striving towards enhanced control, pre-elimination. A remote-loading mobile application and secure online platform for health professionals was created to interface with the new system (eNHIS). A case-based malaria testing register was developed and integrated geo-coded households, villages and health facilities. A malaria programme management dashboard was created, with village-level malaria mapping tools, and statistical algorithms to identify malaria outbreaks. Since its inception in 2015, 160,750 malaria testing records, including village of residence, have been reported to the eNHIS. These case-based, geo-coded malaria data are 100% complete, with a median data entry delay of 9 days from the date of testing. The system maps malaria to the village level in near real-time as well as the availability of treatment and diagnostics to health facility level. Data aggregation, analysis, outbreak detection, and reporting are automated. The study demonstrates that using mobile technologies and GIS in the capture and reporting of NHIS data in Papua New Guinea provides timely, high quality, geo-coded, case-based malaria data required for malaria elimination. The health systems strengthening approach of integrating malaria information management into the eNHIS optimizes sustainability and provides enormous flexibility to cater for future malaria programme needs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 19%
Student > Ph. D. Student 16 13%
Researcher 13 10%
Student > Bachelor 7 6%
Lecturer 5 4%
Other 16 13%
Unknown 44 35%
Readers by discipline Count As %
Medicine and Dentistry 24 19%
Nursing and Health Professions 16 13%
Computer Science 7 6%
Business, Management and Accounting 4 3%
Social Sciences 4 3%
Other 20 16%
Unknown 50 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 09 May 2021.
All research outputs
#1,565,299
of 24,580,204 outputs
Outputs from Malaria Journal
#251
of 5,786 outputs
Outputs of similar age
#30,672
of 317,549 outputs
Outputs of similar age from Malaria Journal
#14
of 137 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 95% of its peers.
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 317,549 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.