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Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia

BACKGROUND: Accurate and timely malaria data are crucial to monitor the progress towards and attainment of elimination. Lusaka, the capital city of Zambia, has reported very low malaria prevalence in Malaria Indicator Surveys. Issues of low malaria testing rates, high numbers of unconfirmed malaria...

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Autores principales: Chisha, Zunda, Larsen, David A., Burns, Matthew, Miller, John M., Chirwa, Jacob, Mbwili, Clara, Bridges, Daniel J., Kamuliwo, Mulakwa, Hawela, Moonga, Tan, Kathrine R., Craig, Allen S., Winters, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486393/
https://www.ncbi.nlm.nih.gov/pubmed/26017275
http://dx.doi.org/10.1186/s12936-015-0735-y
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author Chisha, Zunda
Larsen, David A.
Burns, Matthew
Miller, John M.
Chirwa, Jacob
Mbwili, Clara
Bridges, Daniel J.
Kamuliwo, Mulakwa
Hawela, Moonga
Tan, Kathrine R.
Craig, Allen S.
Winters, Anna M.
author_facet Chisha, Zunda
Larsen, David A.
Burns, Matthew
Miller, John M.
Chirwa, Jacob
Mbwili, Clara
Bridges, Daniel J.
Kamuliwo, Mulakwa
Hawela, Moonga
Tan, Kathrine R.
Craig, Allen S.
Winters, Anna M.
author_sort Chisha, Zunda
collection PubMed
description BACKGROUND: Accurate and timely malaria data are crucial to monitor the progress towards and attainment of elimination. Lusaka, the capital city of Zambia, has reported very low malaria prevalence in Malaria Indicator Surveys. Issues of low malaria testing rates, high numbers of unconfirmed malaria cases and over consumption of anti-malarials were common at clinics within Lusaka, however. The Government of Zambia (GRZ) and its partners sought to address these issues through an enhanced surveillance and feedback programme at clinic level. METHODS: The enhanced malaria surveillance programme began in 2011 to verify trends in reported malaria, as well as to implement a data feedback loop to improve data uptake, use, and quality. A process of monthly data collection and provision of feedback was implemented within all GRZ health clinics in Lusaka District. During clinic visits, clinic registers were accessed to record the number of reported malaria cases, malaria test positivity rate, malaria testing rate, and proportion of total suspected malaria that was confirmed with a diagnostic test. RESULTS AND DISCUSSION: Following the enhanced surveillance programme, the odds of receiving a diagnostic test for a suspected malaria case increased (OR = 1.54, 95 % CI = 0.96–2.49) followed by an upward monthly trend (OR = 1.05, 95 % CI = 1.01–1.09). The odds of a reported malaria case being diagnostically confirmed also increased monthly (1.09, 95 % CI 1.04–1.15). After an initial 140 % increase (95 % CI = 91–183 %), costs fell by 11 % each month (95 % CI = 5.7–10.9 %). Although the mean testing rate increased from 18.9 to 64.4 % over the time period, the proportion of reported malaria unconfirmed by diagnostic remained high at 76 %. CONCLUSIONS: Enhanced surveillance and implementation of a data feedback loop have substantially increased malaria testing rates and decreased the number of unconfirmed malaria cases and courses of ACT consumed in Lusaka District within just two years. Continued support of enhanced surveillance in Lusaka as well as national scale-up of the system is recommended to reinforce good case management and to ensure timely, reliable data are available to guide targeting of limited malaria prevention and control resources in Zambia.
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spelling pubmed-44863932015-07-02 Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia Chisha, Zunda Larsen, David A. Burns, Matthew Miller, John M. Chirwa, Jacob Mbwili, Clara Bridges, Daniel J. Kamuliwo, Mulakwa Hawela, Moonga Tan, Kathrine R. Craig, Allen S. Winters, Anna M. Malar J Research BACKGROUND: Accurate and timely malaria data are crucial to monitor the progress towards and attainment of elimination. Lusaka, the capital city of Zambia, has reported very low malaria prevalence in Malaria Indicator Surveys. Issues of low malaria testing rates, high numbers of unconfirmed malaria cases and over consumption of anti-malarials were common at clinics within Lusaka, however. The Government of Zambia (GRZ) and its partners sought to address these issues through an enhanced surveillance and feedback programme at clinic level. METHODS: The enhanced malaria surveillance programme began in 2011 to verify trends in reported malaria, as well as to implement a data feedback loop to improve data uptake, use, and quality. A process of monthly data collection and provision of feedback was implemented within all GRZ health clinics in Lusaka District. During clinic visits, clinic registers were accessed to record the number of reported malaria cases, malaria test positivity rate, malaria testing rate, and proportion of total suspected malaria that was confirmed with a diagnostic test. RESULTS AND DISCUSSION: Following the enhanced surveillance programme, the odds of receiving a diagnostic test for a suspected malaria case increased (OR = 1.54, 95 % CI = 0.96–2.49) followed by an upward monthly trend (OR = 1.05, 95 % CI = 1.01–1.09). The odds of a reported malaria case being diagnostically confirmed also increased monthly (1.09, 95 % CI 1.04–1.15). After an initial 140 % increase (95 % CI = 91–183 %), costs fell by 11 % each month (95 % CI = 5.7–10.9 %). Although the mean testing rate increased from 18.9 to 64.4 % over the time period, the proportion of reported malaria unconfirmed by diagnostic remained high at 76 %. CONCLUSIONS: Enhanced surveillance and implementation of a data feedback loop have substantially increased malaria testing rates and decreased the number of unconfirmed malaria cases and courses of ACT consumed in Lusaka District within just two years. Continued support of enhanced surveillance in Lusaka as well as national scale-up of the system is recommended to reinforce good case management and to ensure timely, reliable data are available to guide targeting of limited malaria prevention and control resources in Zambia. BioMed Central 2015-05-29 /pmc/articles/PMC4486393/ /pubmed/26017275 http://dx.doi.org/10.1186/s12936-015-0735-y Text en © Chisha et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Chisha, Zunda
Larsen, David A.
Burns, Matthew
Miller, John M.
Chirwa, Jacob
Mbwili, Clara
Bridges, Daniel J.
Kamuliwo, Mulakwa
Hawela, Moonga
Tan, Kathrine R.
Craig, Allen S.
Winters, Anna M.
Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title_full Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title_fullStr Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title_full_unstemmed Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title_short Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia
title_sort enhanced surveillance and data feedback loop associated with improved malaria data in lusaka, zambia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486393/
https://www.ncbi.nlm.nih.gov/pubmed/26017275
http://dx.doi.org/10.1186/s12936-015-0735-y
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