Evidence map›Paper›PMID 33259550›Full record

ArticlePloS one2020

Case study of Argus in Togo: An SMS and web-based application to support public health surveillance, results from 2016 to 2019.

José Guerra, Kokou Mawule Davi, Florentina Chipuila Rafael, Hamadi Assane, Lucile Imboua, Fatoumata Binta Tidiane Diallo, Tsidi Agbeko Tamekloe, Aklagba Kuawo Kuassi, Farihétou Ouro-Kavalah, Ganiou Tchaniley and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

José GuerraHealth Emergencies Programme, World Health Organization, Lyon, France.ORCID 0000-0002-4943-2723
Kokou Mawule DaviCountry Office, World Health Organization, Lomé, Togo.
Florentina Chipuila RafaelHealth Emergencies Programme, World Health Organization, Lyon, France.
Hamadi AssaneDivision de la Surveillance Intégrée des Urgences Sanitaires et Riposte, Ministère de la Santé, Lomé, Togo.
Lucile ImbouaCountry Office, World Health Organization, Lomé, Togo.
Fatoumata Binta Tidiane DialloCountry Office, World Health Organization, Lomé, Togo.
Tsidi Agbeko TamekloeDirection de la lutte contre la maladie et des Programmes de santé publique, Ministère de la Santé, Lomé, Togo.
Aklagba Kuawo KuassiCountry Office, World Health Organization, Lomé, Togo.
Farihétou Ouro-KavalahDivision de la Surveillance Intégrée des Urgences Sanitaires et Riposte, Ministère de la Santé, Lomé, Togo.
Ganiou TchanileyDirection du système national d'information sanitaire, Ministère de la Santé, Lomé, Togo.
Nassirou Ouro-NileDirection du système national d'information sanitaire, Ministère de la Santé, Lomé, Togo.
Pierre NabethHealth Emergencies Programme, World Health Organization, Lyon, France.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionArgus is an open source electronic solution to facilitate the reporting and management of public health surveillance data. Its components include an Android-phone application, used by healthcare facilities to report results via SMS; and a central server located at the Ministry of Health, displaying aggregated results on a web platform for intermediate and central levels. This study describes the results of the use of Argus in two regions of Togo.

methodsArgus was used in 148 healthcare facilities from May 2016 to July 2018, expanding to 185 healthcare facilities from July 2018. Data from week 21 of 2016 to week 12 of 2019 was extracted from the Argus database and analysed. An assessment mission took place in August 2016 to collect users' satisfaction, to estimate the concordance of the received data with the collected data, and to estimate the time required to report data with Argus.

resultsOverall completeness of data reporting was 76%, with 80% of reports from a given week being received before Tuesday 9PM. Concordance of data received from Argus and standard paper forms was 99.7%. Median time needed to send a report using Argus was 4 minutes. Overall completeness of data review at district, regional, and central levels were 89%, 68%, and 35% respectively. Implementation cost of Argus was 23 760 USD for 148 facilities.

conclusionsThe use of Argus in Togo enabled healthcare facilities to send weekly reports and alerts through SMS in a user-friendly, reliable and timely manner. Reengagement of surveillance officers at all levels, especially at the central level, enabled a dramatic increase in completeness and timeliness of data report and data review.

Indexed as

InternetText MessagingCell PhoneData CollectionHealth Care CostsHumansOutcome Assessment, Health CarePilot ProjectsPublic Health SurveillanceResearch DesignSurveys and QuestionnairesTogoWeb Browser

Identifiers

PMID33259550
PMCPMC7707507

What OpenQuestion holds

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LicenceCC BY
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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.