AbstractTREAT is a computerized decision support system aimed at improving empirical antibiotic treatment of inpatients with suspected bacterial infections. It contains a model that balances, for each antibiotic choice (including ‘no antibiotics’), expected benefit and expected costs. The main benefit afforded by appropriate, empirical, early antibiotic treatment in moderate to severe infections is a better chance of survival. Each antibiotic drug was consigned three cost components: cost of the drug and administration; cost of side effects; and costs of future resistance. ‘No treatment’ incurs no costs. The model worked well for decision support. Its analysis showed, yet again, that for moderate to severe infections, a model that does not ...
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of res...
Inappropriate antimicrobial use has been shown to be an important determinant of the emergence of an...
Abstract The cost of treatments especially in conditions where multiresistant bacteria are involved ...
AbstractTREAT is a computerized decision support system aimed at improving empirical antibiotic trea...
Objectives: TREAT, a decision support system for antimicrobial therapy, was implemented in an acute ...
grantor: University of Toronto'Purpose'. To develop decision analytic models for current a...
SummaryObjectivesTREAT, a decision support system for antimicrobial therapy, was implemented in an a...
Objectives Antimicrobial resistance (AMR) represents a significant threat to patient and population...
In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance deve...
Complicated intra-abdominal infection (IAI) requires increased health care expenditures and addition...
PubMed ID: 18662118Antibiotics are developed to kill microorganisms; however, microorganisms develop...
The increasingly daunting problem of antimicrobial resistance has led to an intense focus on optimiz...
Background In order to stimulate appropriate antimicrobial use and thereby lower the chances of resi...
Purpose: To develop mathematical formulae to aid the selection of antibiotics most appropriate in th...
This study is an economic analysis seeking to examine cost savings that may be accrued from usage of...
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of res...
Inappropriate antimicrobial use has been shown to be an important determinant of the emergence of an...
Abstract The cost of treatments especially in conditions where multiresistant bacteria are involved ...
AbstractTREAT is a computerized decision support system aimed at improving empirical antibiotic trea...
Objectives: TREAT, a decision support system for antimicrobial therapy, was implemented in an acute ...
grantor: University of Toronto'Purpose'. To develop decision analytic models for current a...
SummaryObjectivesTREAT, a decision support system for antimicrobial therapy, was implemented in an a...
Objectives Antimicrobial resistance (AMR) represents a significant threat to patient and population...
In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance deve...
Complicated intra-abdominal infection (IAI) requires increased health care expenditures and addition...
PubMed ID: 18662118Antibiotics are developed to kill microorganisms; however, microorganisms develop...
The increasingly daunting problem of antimicrobial resistance has led to an intense focus on optimiz...
Background In order to stimulate appropriate antimicrobial use and thereby lower the chances of resi...
Purpose: To develop mathematical formulae to aid the selection of antibiotics most appropriate in th...
This study is an economic analysis seeking to examine cost savings that may be accrued from usage of...
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of res...
Inappropriate antimicrobial use has been shown to be an important determinant of the emergence of an...
Abstract The cost of treatments especially in conditions where multiresistant bacteria are involved ...