[A proposal for using data from antimicrobial prescriptions: the EUREQA experience].
This study demonstrates that the use of information from medical prescriptions is essential for understanding the dynamics of community bacterial resistance. The resulting analysis can also influence and help establish more adequate public health policies on the control and optimization of antimicrobial use. The article demonstrates the use of a logical model developed by the EUREQA project for acquisition, classification, interpretation, and analysis of data from prescriptions for oral antimicrobial use.
Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brasil. eduardo@dpi.inpe.br
Eduardo Celso Gerbi
EC
Camargo
Carlos Roberto Veiga
CR
Kiffer
Antonio Carlos Campos
AC
Pignatari
Silvia Emiko
SE
Shimakura
Paulo Justiniano
PJ
Ribeiro
Antonio Miguel Vieira
AM
Monteiro
D000890:Anti-Infective Agents / Q000009:adverse effects*; D001938:Brazil; D011307:Drug Prescriptions; D024881:Drug Resistance, Bacterial; D004926:Escherichia coli; D006801:Humans; D015363:Quinolones / Q000009:adverse effects*; D012651:Self Medication / Q000009:adverse effects; D014505:Urban Population
D000890:Anti-Infective Agents; D015363:Quinolones