Several areas for improvement were identified: reviewing antimicrobial prescribing with feedback to the prescriber, auditing, and training and education in antimicrobial use. There also appears to be a lack of resources to support AMS programs in some facilities. WHAT IS KNOWN ABOUT THE TOPIC?: The ACSQHC has recommended that all hospitals implement an AMS program by 2013 as a requirement of Standard 3 (Preventing and Controlling Healthcare-Associated Infections) of the National Safety and Quality Health Service Standards. The intent of AMS is to ensure appropriate prescribing of antimicrobials as part of the broader systems within a health service organisation to prevent and manage healthcare-associated infections, and improve patient safety and quality of care. This criterion also aligns closely with Standard 4: Medication Safety. Despite this recommendation, little is known about what AMS activities are undertaken in these facilities and what additional resources would be required in order to meet these national standards. WHAT DOES THE PAPER ADD?: This is the first survey that has been conducted of public hospital and health services in Queensland, a large decentralised state in Australia. This paper describes what AMS activities are currently being undertaken, identifies practice gaps, barriers to implementation and opportunities for improvement in Queensland hospitals. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS?: Several areas for improvement such as reviewing antimicrobial prescribing with feedback to the prescriber, auditing, and training and education in antimicrobial use have been identified. In addition, there appears to be a lack of resources to support AMS programs in some facilities.
bSeveral population pharmacokinetic models describe the dose-exposure relationship of tobramycin in pediatric patients. Before the implementation of these models in clinical practice for dosage adjustment, their predictive performance should be externally evaluated. This study tested the predictive performance of all published population pharmacokinetic models of tobramycin developed for pediatric patients with an independent patient cohort. A literature search was conducted to identify suitable models for testing. Demographic and pharmacokinetic data were collected retrospectively from the medical records of pediatric patients who had received intravenous tobramycin. Tobramycin exposure was predicted from each model. Predictive performance was assessed by visual comparison of predictions to observations, by calculation of bias and imprecision, and through the use of simulation-based diagnostics. Eight population pharmacokinetic models were identified. A total of 269 concentration-time points from 41 pediatric patients with cystic fibrosis were collected for external evaluation. Three models consistently performed best in all evaluations and had mean errors ranging from ؊0.4 to 1.8 mg/liter, relative mean errors ranging from 4.9 to 29.4%, and root mean square errors ranging from 47.8 to 66.9%. Simulation-based diagnostics supported these findings. Models that allowed a two-compartment disposition generally had better predictive performance than those that used a one-compartment disposition model. Several published models of the pharmacokinetics of tobramycin showed reasonable low levels of bias, although all models seemed to have some problems with imprecision. This suggests that knowledge of typical pharmacokinetic behavior and patient covariate values alone without feedback concentration measurements from individual patients is not sufficient to make precise predictions.
Antimicrobial stewardship (AMS) is well established in Australian hospitals. Electronic medical record (EMR) implementation has lagged in Australia, with two Healthcare Information and Management Systems Society (HIMSS) Stage 6 hospitals and one Stage 7 hospital as of September 2020. Specific barriers faced by AMS teams with paper-based prescribing and medical records include real-time identification of antimicrobials orders; the ability to prospectively monitor antimicrobial use; and the integration of fundamental point of prescribing AMS principles into routine clinical practice. There are few local guidelines to assist Australian hospitals and AMS teams beyond “out of the box” EMR functionality. EMR implementation has enormous potential to positively impact AMS teams through more efficient workflows and the ability to expand the reach and coverage of AMS activities. There are inevitable limitations associated with EMR implementation that must be considered. In this paper, four Australian hospitals share their experience with EMR roll out, AMS customisation and how they have overcome specific barriers in local AMS practice.
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