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...
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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]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality

Übergeordnetes Werk:	In: Malaria Journal - BMC, 2003, 17(2018), 1, Seite 10
Übergeordnetes Werk:	volume:17 ; year:2018 ; number:1 ; pages:10

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12936-018-2603-z

Katalog-ID:	DOAJ075446383

Internformat


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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.
650		4	\|a Stock-out
650		4	\|a Artemisinin-based combination therapy
650		4	\|a Rapid diagnostic test
650		4	\|a Logistics management information system
650		4	\|a Data quality
653		0	\|a Arctic medicine. Tropical medicine
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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912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
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allfields	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
allfieldsGer	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
allfieldsSound	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
language	English
source	In Malaria Journal 17(2018), 1, Seite 10 volume:17 year:2018 number:1 pages:10
sourceStr	In Malaria Journal 17(2018), 1, Seite 10 volume:17 year:2018 number:1 pages:10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Stock-out Artemisinin-based combination therapy Rapid diagnostic test Logistics management information system Data quality Arctic medicine. Tropical medicine Infectious and parasitic diseases
isfreeaccess_bool	true
container_title	Malaria Journal
authorswithroles_txt_mv	Yu Sun @@aut@@ Timothée Guilavogui @@aut@@ Alioune Camara @@aut@@ Mohamed Dioubaté @@aut@@ Babacar Deen Toure @@aut@@ Claude Bahati @@aut@@ Marie Paule Fargier @@aut@@ Jessica Butts @@aut@@ Patrick Condo @@aut@@ Abdoulaye Sarr @@aut@@ Mateusz M. Plucinski @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	355986582
id	DOAJ075446383
language_de	englisch
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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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callnumber-first	R - Medicine
author	Yu Sun
spellingShingle	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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topic_title	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
topic	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
topic_unstemmed	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
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title	Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
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title_full	Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
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author_browse	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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title_sort	evaluating the quality of routinely reported data on malaria commodity stocks in guinea, 2014–2016
callnumber	RC955-962
title_auth	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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title_short	Evaluating the quality of routinely reported data on malaria commodity stocks in Guinea, 2014–2016
url	https://doi.org/10.1186/s12936-018-2603-z https://doaj.org/article/94f8ff87fa7447528a13c0d4390f57d9 http://link.springer.com/article/10.1186/s12936-018-2603-z https://doaj.org/toc/1475-2875
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author2	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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