Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
Abstract 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...
Ausführliche Beschreibung
Autor*in: |
Yu Sun [verfasserIn] Timothée Guilavogui [verfasserIn] Alioune Camara [verfasserIn] Mohamed Dioubaté [verfasserIn] Babacar Deen Toure [verfasserIn] Claude Bahati [verfasserIn] Marie Paule Fargier [verfasserIn] Jessica Butts [verfasserIn] Patrick Condo [verfasserIn] Abdoulaye Sarr [verfasserIn] Mateusz M. Plucinski [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
Artemisinin-based combination therapy |
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Übergeordnetes Werk: |
In: Malaria Journal - BMC, 2003, 17(2018), 1, Seite 10 |
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Übergeordnetes Werk: |
volume:17 ; year:2018 ; number:1 ; pages:10 |
Links: |
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DOI / URN: |
10.1186/s12936-018-2603-z |
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Katalog-ID: |
DOAJ075446383 |
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520 | |a Abstract 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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653 | 0 | |a Infectious and parasitic diseases | |
700 | 0 | |a Timothée Guilavogui |e verfasserin |4 aut | |
700 | 0 | |a Alioune Camara |e verfasserin |4 aut | |
700 | 0 | |a Mohamed Dioubaté |e verfasserin |4 aut | |
700 | 0 | |a Babacar Deen Toure |e verfasserin |4 aut | |
700 | 0 | |a Claude Bahati |e verfasserin |4 aut | |
700 | 0 | |a Marie Paule Fargier |e verfasserin |4 aut | |
700 | 0 | |a Jessica Butts |e verfasserin |4 aut | |
700 | 0 | |a Patrick Condo |e verfasserin |4 aut | |
700 | 0 | |a Abdoulaye Sarr |e verfasserin |4 aut | |
700 | 0 | |a Mateusz M. Plucinski |e verfasserin |4 aut | |
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10.1186/s12936-018-2603-z doi (DE-627)DOAJ075446383 (DE-599)DOAJ94f8ff87fa7447528a13c0d4390f57d9 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Yu Sun verfasserin aut Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases Timothée Guilavogui verfasserin aut Alioune Camara verfasserin aut Mohamed Dioubaté verfasserin aut Babacar Deen Toure verfasserin aut Claude Bahati verfasserin aut Marie Paule Fargier verfasserin aut Jessica Butts verfasserin aut Patrick Condo verfasserin aut Abdoulaye Sarr verfasserin aut Mateusz M. Plucinski verfasserin aut In Malaria Journal BMC, 2003 17(2018), 1, Seite 10 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:17 year:2018 number:1 pages:10 https://doi.org/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 kostenfrei http://link.springer.com/article/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 1 10 |
spelling |
10.1186/s12936-018-2603-z doi (DE-627)DOAJ075446383 (DE-599)DOAJ94f8ff87fa7447528a13c0d4390f57d9 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Yu Sun verfasserin aut Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases Timothée Guilavogui verfasserin aut Alioune Camara verfasserin aut Mohamed Dioubaté verfasserin aut Babacar Deen Toure verfasserin aut Claude Bahati verfasserin aut Marie Paule Fargier verfasserin aut Jessica Butts verfasserin aut Patrick Condo verfasserin aut Abdoulaye Sarr verfasserin aut Mateusz M. Plucinski verfasserin aut In Malaria Journal BMC, 2003 17(2018), 1, Seite 10 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:17 year:2018 number:1 pages:10 https://doi.org/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 kostenfrei http://link.springer.com/article/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 1 10 |
allfields_unstemmed |
10.1186/s12936-018-2603-z doi (DE-627)DOAJ075446383 (DE-599)DOAJ94f8ff87fa7447528a13c0d4390f57d9 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Yu Sun verfasserin aut Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases Timothée Guilavogui verfasserin aut Alioune Camara verfasserin aut Mohamed Dioubaté verfasserin aut Babacar Deen Toure verfasserin aut Claude Bahati verfasserin aut Marie Paule Fargier verfasserin aut Jessica Butts verfasserin aut Patrick Condo verfasserin aut Abdoulaye Sarr verfasserin aut Mateusz M. Plucinski verfasserin aut In Malaria Journal BMC, 2003 17(2018), 1, Seite 10 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:17 year:2018 number:1 pages:10 https://doi.org/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 kostenfrei http://link.springer.com/article/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 1 10 |
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10.1186/s12936-018-2603-z doi (DE-627)DOAJ075446383 (DE-599)DOAJ94f8ff87fa7447528a13c0d4390f57d9 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Yu Sun verfasserin aut Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases Timothée Guilavogui verfasserin aut Alioune Camara verfasserin aut Mohamed Dioubaté verfasserin aut Babacar Deen Toure verfasserin aut Claude Bahati verfasserin aut Marie Paule Fargier verfasserin aut Jessica Butts verfasserin aut Patrick Condo verfasserin aut Abdoulaye Sarr verfasserin aut Mateusz M. Plucinski verfasserin aut In Malaria Journal BMC, 2003 17(2018), 1, Seite 10 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:17 year:2018 number:1 pages:10 https://doi.org/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 kostenfrei http://link.springer.com/article/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 1 10 |
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10.1186/s12936-018-2603-z doi (DE-627)DOAJ075446383 (DE-599)DOAJ94f8ff87fa7447528a13c0d4390f57d9 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Yu Sun verfasserin aut Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases Timothée Guilavogui verfasserin aut Alioune Camara verfasserin aut Mohamed Dioubaté verfasserin aut Babacar Deen Toure verfasserin aut Claude Bahati verfasserin aut Marie Paule Fargier verfasserin aut Jessica Butts verfasserin aut Patrick Condo verfasserin aut Abdoulaye Sarr verfasserin aut Mateusz M. Plucinski verfasserin aut In Malaria Journal BMC, 2003 17(2018), 1, Seite 10 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:17 year:2018 number:1 pages:10 https://doi.org/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 kostenfrei http://link.springer.com/article/10.1186/s12936-018-2603-z kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 1 10 |
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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. 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Yu Sun misc RC955-962 misc RC109-216 misc Stock-out misc Artemisinin-based combination therapy misc Rapid diagnostic test misc Logistics management information system misc Data quality misc Arctic medicine. Tropical medicine misc Infectious and parasitic diseases Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 |
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RC955-962 RC109-216 Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality |
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Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 |
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Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 |
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Yu Sun Timothée Guilavogui Alioune Camara Mohamed Dioubaté Babacar Deen Toure Claude Bahati Marie Paule Fargier Jessica Butts Patrick Condo Abdoulaye Sarr Mateusz M. Plucinski |
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evaluating the quality of routinely reported data on malaria commodity stocks in guinea, 2014–2016 |
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Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 |
abstract |
Abstract 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. |
abstractGer |
Abstract 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. |
abstract_unstemmed |
Abstract 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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Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016 |
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