The Centre for Health and Social Research is running a lunch time research seminar in Melbourne this month.
When: Thursday, September 22 – lunch at 12 pm and seminar from 12.30pm to 1.30pm
Where: Meeting room 1, level 5, 215 Spring St, Melbourne.
To test or not to test (and eat a jellybean)? Inconsistent blood glucose checking among Australian drivers with type 1 diabetes
Australian guidelines specify that the blood glucose of those with insulin-treated diabetes, as in type 1 diabetes, should be “above 5[mmol/L] to drive”. They are required to check their blood glucose before driving and, if the journey takes longer than two hours, to stop and check again. In this talk, Steve will present recent survey data that examined the frequency of, and attitudes towards, blood glucose monitoring among Australian drivers with T1D diabetes. The data has relevance for both healthcare professionals and consumer organisations who are involved in the promotion of safe practices for drivers who use insulin.
Presented by Dr Steve Trawley Centre for Health and Social Research, ACU
Dr Steve Trawley is a cognitive psychologist with an interest in applied memory and attention research who recently joined CHaSR in July. This presentation stems from Steve’s work at the Australian Centre for Behavioural Research in Diabetes, where he contributes the cognitive focus to the groups research profile. Prior to moving to Melbourne Steve worked on a range of applied cognitive projects in England, Scotland and the Republic of Ireland.
Evaluation of methods for design and analysis of cluster randomised crossover trials with binary outcomes with application to intensive care research
The assessment of interventions in intensive care research in Australia is hampered by the need for interventions to be applied at intensive care unit (ICU) level together with the limited number of intensive care units in Australia. As such, parallel-arm cluster randomised trials cannot be sized appropriately to detect small effects of universal ICU interventions on mortality such as intravenous caloric delivery in patients receiving nutrition or oxygen level targeting in mechanically ventilated patients. The increased efficiency of cluster randomised crossover designs presents an opportunity to remedy this situation, however the development and assessment of such designs in the literature has primarily been with continuous outcomes with associated linear mixed models rather than for binary outcomes.
In this talk Muhammad will report on methods for design and analysis of cluster crossover trials with binary data. In particular we report on results from a simulation study based on the cluster size variability, size of period effects, and within- and between-period correlations observed in the Australian adult patient intensive care database.
Presented by Muhammad Akram Centre for Health and Social Research, ACU
Muhammad Akram is a research-fellow (Bio-statistician) at CHaSR. He holds PhD degree in Statistics from Monash University. His PhD research was on time-series analysis and forecasting. Previously he worked as a post-doctoral biostatistician at the Department of Epidemiology and Preventive Medicine and Department of Econometrics and Business Statistics, Monash University. His previous work has involved development of statistical methods for short interrupted time series, methods for cluster randomized crossover trial, multilevel modelling and analysis of case-crossover designs. Muhammad's research interests include applied statistical modelling, application of time-series analysis and forecasting, predictive modelling and application of time-series in health sciences.
This is a free event and lunch will be provided. Please advise of special dietary requirements when you RSVP. Colleagues are welcome but please must register.