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Global Health and Tropical Medicine

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Co-Design of a Computer-Assisted Medical Decision Support System to Manage Antibiotic Prescription in an ICU Ward

About 37 thousand people die per year in Europe due to infections by resistant bacteria. Fighting antimicrobial resistances (AR) is a top priority to save lives and reduce costs. AR is triggered mostly by uncritical antibiotic prescription. This paper presents HAITool, a decision-making information system to support antibiotic prescription. The system was co-developed together with […]
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LytA-based identification methods can misidentify Streptococcus pneumoniae

Streptococcus pneumoniae and LytA methods Surveillance studies detected 11 isolates displaying conflicting or novel results when characterized by widely accepted phenotypic (optochin susceptibility and bile solubility) and genotypic (lytA-BsaAI-RFLP and MLST) identification methods. The authors aimed to determine the genetic basis for the unexpected results given by lytA-BsaAI-RFLP. They also wanted to investigate the accuracy […]
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Prevention and control of antimicrobial resistant healthcare associated infections: the Microbiology Laboratory rocks!

This paper addresses the role and importance of the Microbiology Laboratory in the prevention and control of healthcare-associated infection and in Antibiotic Stewardship Programs and how it can be leveraged when combined with the use of information systems. Additionally, we critically review some challenges that the Microbiology Laboratory has to deal with, including the selection of analytic methods and the proper use of communication channels with other healthcare services.
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About GHTM

GHTM is a R&D Center that brings together researchers from IHMT with a track record in Tropical Medicine and International/Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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