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Evaluation of malaria surveillance system in Benue State, Nigeria

BACKGROUND: Malaria is a priority global health disease with high morbidity and mortality especially among children under-five and pregnant women. Malaria elimination requires an effective surveillance system. The malaria surveillance system in Benue State was evaluated to assess its attributes and...

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Autores principales: Amede, Peter Okpeh, Umeokonkwo, Chukwuma David, Abege, Susan, Akawe, Joseph, Derek, Jeh, Adedire, Elizabeth, Balogun, Muhammad Shakir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682768/
https://www.ncbi.nlm.nih.gov/pubmed/36419052
http://dx.doi.org/10.1186/s12936-022-04367-4
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author Amede, Peter Okpeh
Umeokonkwo, Chukwuma David
Abege, Susan
Akawe, Joseph
Derek, Jeh
Adedire, Elizabeth
Balogun, Muhammad Shakir
author_facet Amede, Peter Okpeh
Umeokonkwo, Chukwuma David
Abege, Susan
Akawe, Joseph
Derek, Jeh
Adedire, Elizabeth
Balogun, Muhammad Shakir
author_sort Amede, Peter Okpeh
collection PubMed
description BACKGROUND: Malaria is a priority global health disease with high morbidity and mortality especially among children under-five and pregnant women. Malaria elimination requires an effective surveillance system. The malaria surveillance system in Benue State was evaluated to assess its attributes and performance in line with set objectives. METHODS: The updated United States Centers for Disease Control and Prevention guideline for evaluating surveillance systems was used. The surveillance system’s key attributes was quantitatively and qualitatively assessed. Semi-structured questionnaires were administered to all Local Government Area (LGA) Roll Back Malaria (RBM) focal persons and five key informants were interviewed at the State level. The Benue State District Health Information System-2 (DHIS-2) malaria data and monthly summary forms were reviewed from January 2015 to December 2019. RESULTS: A total of 46 RBM focal persons and 5 key-informants participated. About 56.9% were males, the mean-age 43.8 (SD ± 9.3) years and 32 (62.8%) had ≥ 20-year experience on malaria surveillance with mean-year-experience 20.8 (SD ± 7.8) years. All 46 (100%) RBMs understood the case definition; 43 (93.5%) found it easy-to-fill the standardized data tools and understood the data flow channels. The malaria surveillance system in Benue is simple, acceptable and useful to all stakeholders, 36 (70.6%) found switching from the paper-based to the electronic-data tools with ease and 45 (88.2%) stated that analysed data were used for decision-making. Data flow from LGA to State is clearly defined, however majority of the data is collected from public health facilities through the DHIS-2 Platform. The overall timeliness and completeness of reporting was 76.5% and 95.7%, respectively, which were below the ≥ 80% and 100% targets, respectively. CONCLUSIONS: The malaria surveillance system in Benue State is simple, useful, acceptable, and flexible, but it is not representative and timely. Public–private and public-public-partnerships should be strengthened to encourage reporting from both private and tertiary health facilities and improve representativeness, and frequent feedback to improve reporting timeliness.
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spelling pubmed-96827682022-11-24 Evaluation of malaria surveillance system in Benue State, Nigeria Amede, Peter Okpeh Umeokonkwo, Chukwuma David Abege, Susan Akawe, Joseph Derek, Jeh Adedire, Elizabeth Balogun, Muhammad Shakir Malar J Research BACKGROUND: Malaria is a priority global health disease with high morbidity and mortality especially among children under-five and pregnant women. Malaria elimination requires an effective surveillance system. The malaria surveillance system in Benue State was evaluated to assess its attributes and performance in line with set objectives. METHODS: The updated United States Centers for Disease Control and Prevention guideline for evaluating surveillance systems was used. The surveillance system’s key attributes was quantitatively and qualitatively assessed. Semi-structured questionnaires were administered to all Local Government Area (LGA) Roll Back Malaria (RBM) focal persons and five key informants were interviewed at the State level. The Benue State District Health Information System-2 (DHIS-2) malaria data and monthly summary forms were reviewed from January 2015 to December 2019. RESULTS: A total of 46 RBM focal persons and 5 key-informants participated. About 56.9% were males, the mean-age 43.8 (SD ± 9.3) years and 32 (62.8%) had ≥ 20-year experience on malaria surveillance with mean-year-experience 20.8 (SD ± 7.8) years. All 46 (100%) RBMs understood the case definition; 43 (93.5%) found it easy-to-fill the standardized data tools and understood the data flow channels. The malaria surveillance system in Benue is simple, acceptable and useful to all stakeholders, 36 (70.6%) found switching from the paper-based to the electronic-data tools with ease and 45 (88.2%) stated that analysed data were used for decision-making. Data flow from LGA to State is clearly defined, however majority of the data is collected from public health facilities through the DHIS-2 Platform. The overall timeliness and completeness of reporting was 76.5% and 95.7%, respectively, which were below the ≥ 80% and 100% targets, respectively. CONCLUSIONS: The malaria surveillance system in Benue State is simple, useful, acceptable, and flexible, but it is not representative and timely. Public–private and public-public-partnerships should be strengthened to encourage reporting from both private and tertiary health facilities and improve representativeness, and frequent feedback to improve reporting timeliness. BioMed Central 2022-11-23 /pmc/articles/PMC9682768/ /pubmed/36419052 http://dx.doi.org/10.1186/s12936-022-04367-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Amede, Peter Okpeh
Umeokonkwo, Chukwuma David
Abege, Susan
Akawe, Joseph
Derek, Jeh
Adedire, Elizabeth
Balogun, Muhammad Shakir
Evaluation of malaria surveillance system in Benue State, Nigeria
title Evaluation of malaria surveillance system in Benue State, Nigeria
title_full Evaluation of malaria surveillance system in Benue State, Nigeria
title_fullStr Evaluation of malaria surveillance system in Benue State, Nigeria
title_full_unstemmed Evaluation of malaria surveillance system in Benue State, Nigeria
title_short Evaluation of malaria surveillance system in Benue State, Nigeria
title_sort evaluation of malaria surveillance system in benue state, nigeria
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682768/
https://www.ncbi.nlm.nih.gov/pubmed/36419052
http://dx.doi.org/10.1186/s12936-022-04367-4
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