Evidence map›Paper›PMID 32334581›Full record

ArticleMalaria journal2020

Proactive community case management in Senegal 2014-2016: a case study in maximizing the impact of community case management of malaria.

Seynabou Gaye, Janelle Kibler, Jean Louis Ndiaye, Mame Birame Diouf, Annē Linn, Alioune Badara Gueye, Fatou Ba Fall, Médoune Ndiop, Ibrahima Diallo, Moustapha Cisse and 2 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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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 at 6 institutions in 2 countries.

Seynabou GayeSenegal National Malaria Control Programme, Dakar, Senegal.
Janelle KiblerUnited States Peace Corps, Dakar, Senegal.
Jean Louis NdiayeLaboratoire de Parasitologie et Mycologie Médicale, Université Cheikh Anta Diop, Dakar, Senegal.
Mame Birame DioufUnited States Agency for International Development, Dakar, Senegal.
Annē LinnUnited States Agency for International Development, Washington, DC, USA.
Alioune Badara GueyeSenegal National Malaria Control Programme, Dakar, Senegal.
Fatou Ba FallSenegal National Malaria Control Programme, Dakar, Senegal.
Médoune NdiopSenegal National Malaria Control Programme, Dakar, Senegal.
Ibrahima DialloSenegal National Malaria Control Programme, Dakar, Senegal.
Moustapha CisseSenegal National Malaria Control Programme, Dakar, Senegal.
Mady BaSenegal National Malaria Control Programme, Dakar, Senegal.
Julie ThwingDivision of Parasitic Diseases and Malaria, Malaria Branch, Center for Global Health, Centers for Disease Control and Prevention (CDC) Atlanta, Atlanta, GA, USA. fez3@cdc.gov.
National Office for Sanitation of Senegal · SNCenters for Disease Control and Prevention · USCheikh Anta Diop University · SNPeace Corps · USUnited States Agency for International Development · USU.S. President's Malaria Initiative · US

Funding

US Presidents Malaria Initiative not applicable
6 · The paper itself

Abstract

The Senegal National Malaria Control Programme (NMCP) introduced home-based malaria management for all ages, with diagnosis by rapid diagnostic test (RDT) and treatment with artemisinin-based combination therapy (ACT) in 2008, expanding to over 2000 villages nationwide by 2014. With prise en charge à domicile (PECADOM), community health workers (CHWs) were available for community members to seek care, but did not actively visit households to find cases. A trial of a proactive model (PECADOM Plus), in which CHWs visited all households in their village weekly during transmission season to identify fever cases and offer case management, in addition to availability during the week for home-based management, found that CHWs detected and treated more cases in intervention villages, while the number of cases detected weekly decreased over the transmission season. The NMCP scaled PECADOM Plus to three districts in 2014 (132 villages), to a total of six districts in 2015 (246 villages), and to a total of 16 districts in 2016 (708 villages). A narrative case study with programmatic results is presented. During active sweeps over approximately 20 weeks, CHWs tested a mean of 77 patients per CHW in 2014, 89 patients per CHW in 2015, and 90 patients per CHW in 2016, and diagnosed a mean of 61, 61 and 43 patients with malaria per CHW in 2014, 2015 and 2016, respectively. The number of patients who sought care between sweeps increased, with a 104% increase in the number of RDTs performed and a 77% increase in the number of positive tests and patients treated with ACT during passive case detection. While the number of CHWs increased 7%, the number of patients receiving an RDT increased by 307% and the number of malaria cases detected and treated by CHWs increased 274%, from the year prior to PECADOM Plus introduction to its first year of implementation. Based on these results, approximately 700 additional CHWs in 24 new districts were added in 2017. This case study describes the process, results and lessons learned from Senegal's implementation of PECADOM Plus, as well as guidance for other programmes considering introduction of this innovative strategy.

Indexed as

AdolescentAdultAgedAged, 80 and overCase ManagementChildChild, PreschoolCommunity Health WorkersDiagnostic Tests, RoutineHumansInfantInfant, NewbornMalariaMiddle AgedSenegalYoung AdultCommunity case managementDiagnosisMalariaProactiveTreatment

Identifiers

PMID32334581
PMCPMC7183580
OpenAlexW3020000076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.