Evidence map›Paper›PMID 29854209›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

Design and evaluation of a web-based decision support tool for district-level disease surveillance in a low-resource setting.

Meenal Pore, David M Sengeh, Purity Mugambi, Nuri V Purswani, Tom Sesay, Anna Lena Arnold, Anh-Minh A Tran, Ralph Myers

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

8 authors.

Meenal PoreIBM Research | Africa, Nairobi, Kenya.
David M SengehIBM Research | Africa, Nairobi, Kenya.
Purity MugambiIBM Research | Africa, Nairobi, Kenya.
Nuri V PurswaniIBM Singapore, Singapore.
Tom SesayMinistry of Health, Port Loko District, Sierra Leone.
Anna Lena ArnoldGOAL Global, Dun Laoghaire, Ireland.
Anh-Minh A TranGOAL Global, Dun Laoghaire, Ireland.
Ralph MyersGOAL Global, Dun Laoghaire, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the 2014 West African Ebola Virus outbreak it became apparent that the initial response to the outbreak was hampered by limitations in the collection, aggregation, analysis and use of data for intervention planning. As part of the post-Ebola recovery phase, IBM Research Africa partnered with the Port Loko District Health Management Team (DHMT) in Sierra Leone and GOAL Global, to design, implement and deploy a web-based decision support tool for district-level disease surveillance. This paper discusses the design process and the functionality of the first version of the system. The paper presents evaluation results prior to a pilot deployment and identifies features for future iterations. A qualitative assessment of the tool prior to pilot deployment indicates that it improves the timeliness and ease of using data for making decisions at the DHMT level.

Indexed as

Decision Support TechniquesDisease OutbreaksInformation SystemsInternetAfricaAlgorithmsData CollectionDeveloping CountriesFocus GroupsHemorrhagic Fever, EbolaHumansInterviews as TopicPopulation SurveillanceSierra LeoneUser-Computer Interface

Identifiers

PMID29854209
PMCPMC5977610

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.