https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Bayesian methods in reporting and managing Australian clinical indicators https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21010 th centile. The results are used to provide a relative measure to help prioritise quality improvement activity within clinical areas, rather than simply focus on "poorer performing" HCOs. The method draws attention to clinical areas exhibiting larger between-HCO variation and affecting larger numbers of patients. HCOs report data in six-month periods, resulting in estimated clinical indicator proportions which may be affected by small samples and sampling variation. Failing to address such issues would result in HCOs exhibiting extremely small and large estimated proportions and inflated estimates of the potential gains in the system. This paper describes the 20th centile method of calculating potential gains for the healthcare system by using Bayesian hierarchical models and shrinkage estimators to correct for the effects of sampling variation, and provides an example case in Emergency Medicine as well as example expert commentary from colleges based upon the reports. The application of these Bayesian methods enables all collated data to be used, irrespective of an HCO's size, and facilitates more realistic estimates of potential system gains.]]> Wed 11 Apr 2018 09:32:32 AEST ]]> Using hierarchical models to analyse clinical indicators: a comparison of the gamma-Poisson and beta-binomial models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1834 Sat 24 Mar 2018 08:31:14 AEDT ]]>