/manager/Index ${session.getAttribute("locale")} 5 Bayesian methods in reporting and managing Australian clinical indicators /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 ]]> Interventions to circumvent intensive care access block: a retrospective 2-year study across metropolitan Melbourne (letter) /manager/Repository/uon:7700 Sat 24 Mar 2018 08:41:39 AEDT ]]> Trends in survival and excess risk of death after diagnosis of cancer in 1980-1996 in New South Wales, Australia /manager/Repository/uon:9927 30%. The falls varied by spread of disease; the largest being in localised and regionally spread tumours. Overall survival, when unadjusted for spread of cancer, generally fell in parallel with that in the specific categories of spread, which implies that stage migration did not contribute importantly to survival trends. While acknowledging the limitations of incomplete data on stage of cancer at diagnosis, we conclude that falls in excess deaths in NSW from 1980 to 1996 are unlikely, for many cancers, to be attributed to earlier diagnosis or stage migration; thus advances in cancer treatment have almost certainly contributed to them.]]> Sat 24 Mar 2018 08:14:21 AEDT ]]> Clinical indicators in surgery: a critical review of the Australian experience /manager/Repository/uon:20973 Sat 24 Mar 2018 07:54:21 AEDT ]]> Assessing the impact of socio-economic status on cancer survival in New South Wales, Australia 1996-2001 /manager/Repository/uon:5076 Sat 24 Mar 2018 07:48:44 AEDT ]]> Misclassification of colorectal cancer stage and area variation in survival /manager/Repository/uon:5032 Sat 24 Mar 2018 07:45:40 AEDT ]]> A population-based study from New South Wales, Australia 1996-2001: area variation in survival from colorectal cancer /manager/Repository/uon:609 Sat 24 Mar 2018 07:43:28 AEDT ]]> Performance measurement: is it now more scientific? (editorial) /manager/Repository/uon:211 Sat 24 Mar 2018 07:43:06 AEDT ]]>