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Using antenatal care as a platform for malaria surveillance data collection: study protocol

BACKGROUND: While many malaria-endemic countries have health management information systems that can measure and report malaria trends in a timely manner, these routine systems have limitations. Periodic community cross-sectional household surveys are used to estimate malaria prevalence and interven...

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Autores principales: Gutman, Julie R., Mwesigwa, Julia Nanteza, Arnett, Kyra, Kangale, Chabu, Aaron, Sijenunu, Babarinde, Dele, Buekens, Julie, Candrinho, Baltazar, Debe, Siaka, Digre, Peder, Drake, Mary, Gansané, Adama, Gogue, Christelle, Griffith, Kevin S., Hicks, Joseph, Kinda, Réné, Koenker, Hannah, Lemwayi, Ruth, Munsey, Anna, Obi, Emmanuel, Ogouyèmi-Hounto, Aurore, Okoko, Okefu Oyale, Onikpo, Faustin, Onoja, Ali, Porter, Travis, Savaio, Binete, Tynuv, Kenzie, Uhomoibhi, Perpetua, Wagman, Joseph, Wolf, Katherine, Zulliger, Rose, Walker, Patrick, Miller, John M., Robertson, Molly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022568/
https://www.ncbi.nlm.nih.gov/pubmed/36932384
http://dx.doi.org/10.1186/s12936-023-04521-6
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author Gutman, Julie R.
Mwesigwa, Julia Nanteza
Arnett, Kyra
Kangale, Chabu
Aaron, Sijenunu
Babarinde, Dele
Buekens, Julie
Candrinho, Baltazar
Debe, Siaka
Digre, Peder
Drake, Mary
Gansané, Adama
Gogue, Christelle
Griffith, Kevin S.
Hicks, Joseph
Kinda, Réné
Koenker, Hannah
Lemwayi, Ruth
Munsey, Anna
Obi, Emmanuel
Ogouyèmi-Hounto, Aurore
Okoko, Okefu Oyale
Onikpo, Faustin
Onoja, Ali
Porter, Travis
Savaio, Binete
Tynuv, Kenzie
Uhomoibhi, Perpetua
Wagman, Joseph
Wolf, Katherine
Zulliger, Rose
Walker, Patrick
Miller, John M.
Robertson, Molly
author_facet Gutman, Julie R.
Mwesigwa, Julia Nanteza
Arnett, Kyra
Kangale, Chabu
Aaron, Sijenunu
Babarinde, Dele
Buekens, Julie
Candrinho, Baltazar
Debe, Siaka
Digre, Peder
Drake, Mary
Gansané, Adama
Gogue, Christelle
Griffith, Kevin S.
Hicks, Joseph
Kinda, Réné
Koenker, Hannah
Lemwayi, Ruth
Munsey, Anna
Obi, Emmanuel
Ogouyèmi-Hounto, Aurore
Okoko, Okefu Oyale
Onikpo, Faustin
Onoja, Ali
Porter, Travis
Savaio, Binete
Tynuv, Kenzie
Uhomoibhi, Perpetua
Wagman, Joseph
Wolf, Katherine
Zulliger, Rose
Walker, Patrick
Miller, John M.
Robertson, Molly
author_sort Gutman, Julie R.
collection PubMed
description BACKGROUND: While many malaria-endemic countries have health management information systems that can measure and report malaria trends in a timely manner, these routine systems have limitations. Periodic community cross-sectional household surveys are used to estimate malaria prevalence and intervention coverage but lack geographic granularity and are resource intensive. Incorporating malaria testing for all women at their first antenatal care (ANC) visit (i.e., ANC1) could provide a more timely and granular source of data for monitoring trends in malaria burden and intervention coverage. This article describes a protocol designed to assess if ANC-based surveillance could be a pragmatic tool to monitor malaria. METHODS: This is an observational, cross-sectional study conducted in Benin, Burkina Faso, Mozambique, Nigeria, Tanzania, and Zambia. Pregnant women attending ANC1 in selected health facilities will be tested for malaria infection by rapid diagnostic test and administered a brief questionnaire to capture key indicators of malaria control intervention coverage and care-seeking behaviour. In each location, contemporaneous cross-sectional household surveys will be leveraged to assess correlations between estimates obtained using each method, and the use of ANC data as a tool to track trends in malaria burden and intervention coverage will be validated. RESULTS: This study will assess malaria prevalence at ANC1 aggregated at health facility and district levels, and by gravidity relative to current pregnancy (i.e., gravida 1, gravida 2, and gravida 3 +). ANC1 malaria prevalence will be presented as monthly trends. Additionally, correlation between ANC1 and household survey–derived estimates of malaria prevalence, bed net ownership and use, and care-seeking will be assessed. CONCLUSION: ANC1-based surveillance has the potential to provide a cost-effective, localized measure of malaria prevalence that is representative of the general population and useful for tracking monthly changes in parasite prevalence, as well as providing population-representative estimates of intervention coverage and care-seeking behavior. This study will evaluate the representativeness of these measures and collect information on operational feasibility, usefulness for programmatic decision-making, and potential for scale-up of malaria ANC1 surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04521-6.
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spelling pubmed-100225682023-03-17 Using antenatal care as a platform for malaria surveillance data collection: study protocol Gutman, Julie R. Mwesigwa, Julia Nanteza Arnett, Kyra Kangale, Chabu Aaron, Sijenunu Babarinde, Dele Buekens, Julie Candrinho, Baltazar Debe, Siaka Digre, Peder Drake, Mary Gansané, Adama Gogue, Christelle Griffith, Kevin S. Hicks, Joseph Kinda, Réné Koenker, Hannah Lemwayi, Ruth Munsey, Anna Obi, Emmanuel Ogouyèmi-Hounto, Aurore Okoko, Okefu Oyale Onikpo, Faustin Onoja, Ali Porter, Travis Savaio, Binete Tynuv, Kenzie Uhomoibhi, Perpetua Wagman, Joseph Wolf, Katherine Zulliger, Rose Walker, Patrick Miller, John M. Robertson, Molly Malar J Methodology BACKGROUND: While many malaria-endemic countries have health management information systems that can measure and report malaria trends in a timely manner, these routine systems have limitations. Periodic community cross-sectional household surveys are used to estimate malaria prevalence and intervention coverage but lack geographic granularity and are resource intensive. Incorporating malaria testing for all women at their first antenatal care (ANC) visit (i.e., ANC1) could provide a more timely and granular source of data for monitoring trends in malaria burden and intervention coverage. This article describes a protocol designed to assess if ANC-based surveillance could be a pragmatic tool to monitor malaria. METHODS: This is an observational, cross-sectional study conducted in Benin, Burkina Faso, Mozambique, Nigeria, Tanzania, and Zambia. Pregnant women attending ANC1 in selected health facilities will be tested for malaria infection by rapid diagnostic test and administered a brief questionnaire to capture key indicators of malaria control intervention coverage and care-seeking behaviour. In each location, contemporaneous cross-sectional household surveys will be leveraged to assess correlations between estimates obtained using each method, and the use of ANC data as a tool to track trends in malaria burden and intervention coverage will be validated. RESULTS: This study will assess malaria prevalence at ANC1 aggregated at health facility and district levels, and by gravidity relative to current pregnancy (i.e., gravida 1, gravida 2, and gravida 3 +). ANC1 malaria prevalence will be presented as monthly trends. Additionally, correlation between ANC1 and household survey–derived estimates of malaria prevalence, bed net ownership and use, and care-seeking will be assessed. CONCLUSION: ANC1-based surveillance has the potential to provide a cost-effective, localized measure of malaria prevalence that is representative of the general population and useful for tracking monthly changes in parasite prevalence, as well as providing population-representative estimates of intervention coverage and care-seeking behavior. This study will evaluate the representativeness of these measures and collect information on operational feasibility, usefulness for programmatic decision-making, and potential for scale-up of malaria ANC1 surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04521-6. BioMed Central 2023-03-17 /pmc/articles/PMC10022568/ /pubmed/36932384 http://dx.doi.org/10.1186/s12936-023-04521-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 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 Methodology
Gutman, Julie R.
Mwesigwa, Julia Nanteza
Arnett, Kyra
Kangale, Chabu
Aaron, Sijenunu
Babarinde, Dele
Buekens, Julie
Candrinho, Baltazar
Debe, Siaka
Digre, Peder
Drake, Mary
Gansané, Adama
Gogue, Christelle
Griffith, Kevin S.
Hicks, Joseph
Kinda, Réné
Koenker, Hannah
Lemwayi, Ruth
Munsey, Anna
Obi, Emmanuel
Ogouyèmi-Hounto, Aurore
Okoko, Okefu Oyale
Onikpo, Faustin
Onoja, Ali
Porter, Travis
Savaio, Binete
Tynuv, Kenzie
Uhomoibhi, Perpetua
Wagman, Joseph
Wolf, Katherine
Zulliger, Rose
Walker, Patrick
Miller, John M.
Robertson, Molly
Using antenatal care as a platform for malaria surveillance data collection: study protocol
title Using antenatal care as a platform for malaria surveillance data collection: study protocol
title_full Using antenatal care as a platform for malaria surveillance data collection: study protocol
title_fullStr Using antenatal care as a platform for malaria surveillance data collection: study protocol
title_full_unstemmed Using antenatal care as a platform for malaria surveillance data collection: study protocol
title_short Using antenatal care as a platform for malaria surveillance data collection: study protocol
title_sort using antenatal care as a platform for malaria surveillance data collection: study protocol
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022568/
https://www.ncbi.nlm.nih.gov/pubmed/36932384
http://dx.doi.org/10.1186/s12936-023-04521-6
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