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Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal
BACKGROUND: Malaria rapid diagnostic tests (RDTs) enable point-of-care testing to be nearly as sensitive and specific as reference microscopy. The Senegal National Malaria Control Programme introduced RDTs in 2007, along with a case management algorithm for uncomplicated febrile illness, in which th...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333468/ https://www.ncbi.nlm.nih.gov/pubmed/28249580 http://dx.doi.org/10.1186/s12936-017-1750-y |
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author | Thwing, Julie Ba, Fatou Diaby, Alou Diedhiou, Younouss Sylla, Assane Sall, Guelaye Diouf, Mame Birame Gueye, Alioune Badara Gaye, Seynabou Ndiop, Medoune Cisse, Moustapha Ndiaye, Daouda Ba, Mady |
author_facet | Thwing, Julie Ba, Fatou Diaby, Alou Diedhiou, Younouss Sylla, Assane Sall, Guelaye Diouf, Mame Birame Gueye, Alioune Badara Gaye, Seynabou Ndiop, Medoune Cisse, Moustapha Ndiaye, Daouda Ba, Mady |
author_sort | Thwing, Julie |
collection | PubMed |
description | BACKGROUND: Malaria rapid diagnostic tests (RDTs) enable point-of-care testing to be nearly as sensitive and specific as reference microscopy. The Senegal National Malaria Control Programme introduced RDTs in 2007, along with a case management algorithm for uncomplicated febrile illness, in which the first step stipulates that if a febrile patient of any age has symptoms indicative of febrile illness other than malaria (e.g., cough or rash), they would not be tested for malaria, but treated for the apparent illness and receive an RDT for malaria only if they returned in 48 h without improvement. METHODS: A year-long study in 16 health posts was conducted to determine the algorithm’s capacity to identify patients with Plasmodium falciparum infection identifiable by RDT. Health post personnel enrolled patients of all ages with fever (≥37.5 °C) or history of fever in the previous 2 days. After clinical assessment, a nurse staffing the health post determined whether a patient should receive an RDT according to the diagnostic algorithm, but performed an RDT for all enrolled patients. RESULTS: Over 1 year, 6039 patients were enrolled and 58% (3483) were determined to require an RDT according to the algorithm. Overall, 23% (1373/6039) had a positive RDT, 34% (1130/3376) during rainy season and 9% (243/2661) during dry season. The first step of the algorithm identified only 78% of patients with a positive RDT, varying by transmission season (rainy 80%, dry 70%), malaria transmission zone (high 75%, low 95%), and age group (under 5 years 68%, 5 years and older 84%). CONCLUSIONS: In all but the lowest malaria transmission zone, use of the algorithm excludes an unacceptably large proportion of patients with malaria from receiving an RDT at their first visit, denying them timely diagnosis and treatment. While the algorithm was adopted within a context of malaria control and scarce resources, with the goal of treating patients with symptomatic malaria, Senegal has now adopted a policy of universal diagnosis of patients with fever or history of fever. In addition, in the current context of malaria elimination, the paradigm of case management needs to shift towards the identification and treatment of all patients with malaria infection. |
format | Online Article Text |
id | pubmed-5333468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53334682017-03-06 Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal Thwing, Julie Ba, Fatou Diaby, Alou Diedhiou, Younouss Sylla, Assane Sall, Guelaye Diouf, Mame Birame Gueye, Alioune Badara Gaye, Seynabou Ndiop, Medoune Cisse, Moustapha Ndiaye, Daouda Ba, Mady Malar J Research BACKGROUND: Malaria rapid diagnostic tests (RDTs) enable point-of-care testing to be nearly as sensitive and specific as reference microscopy. The Senegal National Malaria Control Programme introduced RDTs in 2007, along with a case management algorithm for uncomplicated febrile illness, in which the first step stipulates that if a febrile patient of any age has symptoms indicative of febrile illness other than malaria (e.g., cough or rash), they would not be tested for malaria, but treated for the apparent illness and receive an RDT for malaria only if they returned in 48 h without improvement. METHODS: A year-long study in 16 health posts was conducted to determine the algorithm’s capacity to identify patients with Plasmodium falciparum infection identifiable by RDT. Health post personnel enrolled patients of all ages with fever (≥37.5 °C) or history of fever in the previous 2 days. After clinical assessment, a nurse staffing the health post determined whether a patient should receive an RDT according to the diagnostic algorithm, but performed an RDT for all enrolled patients. RESULTS: Over 1 year, 6039 patients were enrolled and 58% (3483) were determined to require an RDT according to the algorithm. Overall, 23% (1373/6039) had a positive RDT, 34% (1130/3376) during rainy season and 9% (243/2661) during dry season. The first step of the algorithm identified only 78% of patients with a positive RDT, varying by transmission season (rainy 80%, dry 70%), malaria transmission zone (high 75%, low 95%), and age group (under 5 years 68%, 5 years and older 84%). CONCLUSIONS: In all but the lowest malaria transmission zone, use of the algorithm excludes an unacceptably large proportion of patients with malaria from receiving an RDT at their first visit, denying them timely diagnosis and treatment. While the algorithm was adopted within a context of malaria control and scarce resources, with the goal of treating patients with symptomatic malaria, Senegal has now adopted a policy of universal diagnosis of patients with fever or history of fever. In addition, in the current context of malaria elimination, the paradigm of case management needs to shift towards the identification and treatment of all patients with malaria infection. BioMed Central 2017-03-01 /pmc/articles/PMC5333468/ /pubmed/28249580 http://dx.doi.org/10.1186/s12936-017-1750-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Thwing, Julie Ba, Fatou Diaby, Alou Diedhiou, Younouss Sylla, Assane Sall, Guelaye Diouf, Mame Birame Gueye, Alioune Badara Gaye, Seynabou Ndiop, Medoune Cisse, Moustapha Ndiaye, Daouda Ba, Mady Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title | Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title_full | Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title_fullStr | Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title_full_unstemmed | Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title_short | Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal |
title_sort | assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in senegal |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333468/ https://www.ncbi.nlm.nih.gov/pubmed/28249580 http://dx.doi.org/10.1186/s12936-017-1750-y |
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