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Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016

BACKGROUND: Ensuring malaria commodity availability at health facilities is a cornerstone of malaria control. Since 2013, the Guinea National Malaria Control Programme has been routinely collecting data on stock levels of key malaria commodities through a monthly routine malaria information system (...

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Autores principales: Sun, Yu, Guilavogui, Timothée, Camara, Alioune, Dioubaté, Mohamed, Toure, Babacar Deen, Bahati, Claude, Fargier, Marie Paule, Butts, Jessica, Condo, Patrick, Sarr, Abdoulaye, Plucinski, Mateusz M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286573/
https://www.ncbi.nlm.nih.gov/pubmed/30526619
http://dx.doi.org/10.1186/s12936-018-2603-z
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author Sun, Yu
Guilavogui, Timothée
Camara, Alioune
Dioubaté, Mohamed
Toure, Babacar Deen
Bahati, Claude
Fargier, Marie Paule
Butts, Jessica
Condo, Patrick
Sarr, Abdoulaye
Plucinski, Mateusz M.
author_facet Sun, Yu
Guilavogui, Timothée
Camara, Alioune
Dioubaté, Mohamed
Toure, Babacar Deen
Bahati, Claude
Fargier, Marie Paule
Butts, Jessica
Condo, Patrick
Sarr, Abdoulaye
Plucinski, Mateusz M.
author_sort Sun, Yu
collection PubMed
description BACKGROUND: Ensuring malaria commodity availability at health facilities is a cornerstone of malaria control. Since 2013, the Guinea National Malaria Control Programme has been routinely collecting data on stock levels of key malaria commodities through a monthly routine malaria information system (RMIS). In parallel, biannual end-user verification (EUV) surveys have also assessed malaria commodity availability at a subset of health facilities, potentially representing a duplication of efforts. METHODS: Data on 12 malaria commodity stock levels verified during four EUV surveys conducted between 2014 and 2016 was compared to data for the corresponding months submitted by the same health facilities through the RMIS. The sensitivity and specificity of the RMIS in detecting stock-outs was calculated, as was the percent difference between average stock levels reported through the two systems. RESULTS: Of the 171 health facilities visited during the four EUV surveys, 129 (75%) had data available in the RMIS. Of 351 commodity stock-outs observed during the EUV in the sampled reporting health facilities, 256 (73%) were also signaled through the corresponding RMIS reports. When the presence of malaria commodity stocks was confirmed during the EUV surveys, the RMIS also reported available stock 87% (677/775) of the time. For all commodities, the median percent difference in average stock levels between the EUV and RMIS was 4% (interquartile range − 7 to 27%). CONCLUSION: The concordance between stock levels reported through the RMIS and those verified during the EUV visits provides certain evidence that RMIS data can inform quantification and procurement decisions. However, lower than acceptable rates of reporting and incomplete detection of stock-outs from facilities that do report suggest that further systems strengthening is needed to improve RMIS reporting completeness and data quality.
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spelling pubmed-62865732018-12-14 Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 Sun, Yu Guilavogui, Timothée Camara, Alioune Dioubaté, Mohamed Toure, Babacar Deen Bahati, Claude Fargier, Marie Paule Butts, Jessica Condo, Patrick Sarr, Abdoulaye Plucinski, Mateusz M. Malar J Research BACKGROUND: Ensuring malaria commodity availability at health facilities is a cornerstone of malaria control. Since 2013, the Guinea National Malaria Control Programme has been routinely collecting data on stock levels of key malaria commodities through a monthly routine malaria information system (RMIS). In parallel, biannual end-user verification (EUV) surveys have also assessed malaria commodity availability at a subset of health facilities, potentially representing a duplication of efforts. METHODS: Data on 12 malaria commodity stock levels verified during four EUV surveys conducted between 2014 and 2016 was compared to data for the corresponding months submitted by the same health facilities through the RMIS. The sensitivity and specificity of the RMIS in detecting stock-outs was calculated, as was the percent difference between average stock levels reported through the two systems. RESULTS: Of the 171 health facilities visited during the four EUV surveys, 129 (75%) had data available in the RMIS. Of 351 commodity stock-outs observed during the EUV in the sampled reporting health facilities, 256 (73%) were also signaled through the corresponding RMIS reports. When the presence of malaria commodity stocks was confirmed during the EUV surveys, the RMIS also reported available stock 87% (677/775) of the time. For all commodities, the median percent difference in average stock levels between the EUV and RMIS was 4% (interquartile range − 7 to 27%). CONCLUSION: The concordance between stock levels reported through the RMIS and those verified during the EUV visits provides certain evidence that RMIS data can inform quantification and procurement decisions. However, lower than acceptable rates of reporting and incomplete detection of stock-outs from facilities that do report suggest that further systems strengthening is needed to improve RMIS reporting completeness and data quality. BioMed Central 2018-12-07 /pmc/articles/PMC6286573/ /pubmed/30526619 http://dx.doi.org/10.1186/s12936-018-2603-z Text en © The Author(s) 2018 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
Sun, Yu
Guilavogui, Timothée
Camara, Alioune
Dioubaté, Mohamed
Toure, Babacar Deen
Bahati, Claude
Fargier, Marie Paule
Butts, Jessica
Condo, Patrick
Sarr, Abdoulaye
Plucinski, Mateusz M.
Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title_full Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title_fullStr Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title_full_unstemmed Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title_short Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
title_sort evaluating the quality of routinely reported data on malaria commodity stocks in guinea, 2014–2016
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286573/
https://www.ncbi.nlm.nih.gov/pubmed/30526619
http://dx.doi.org/10.1186/s12936-018-2603-z
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