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

Yu SunTimothée GuilavoguiAlioune CamaraMohamed DioubatéBabacar Deen ToureClaude BahatiMarie Paule FargierJessica ButtsPatrick CondoAbdoulaye SarrMateusz M Pluciński

Published in: Malaria journal (2018)

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.

Keyphrases

electronic health record
big data
adverse drug
emergency department
data analysis
machine learning
loop mediated isothermal amplification
label free
sensitive detection