Developing Objective Measures To Improve Outcomes In ADHD

Research Opportunity
PhD
Department
Paediatrics
Location
Royal Children’s Hospital/Murdoch Childrens Research Institute
Primary Supervisor Email Number Webpage
Professor David Coghill david.coghill@mcri.com Personal web page
Co-supervisor Email Number Webpage
Professor Simon Dennis simon.dennis@unimelb.edu.au 03 90354889 Personal web page
Dr Melissa Mulraney melissa.mulraney@mcri.edu.au +61399366628

Project Details

We are seeking to recruit a recruit a high quality graduate (medicine, psychology/neurosciences) to undertake a clinical study in children aged 5 - 14 years with a diagnosis of ADHD. This study will be run jointly by the Murdoch Children's Research Institute and the Complex Human Data Hub, School of Psychological Sciences, University of Melbourne. The proposal is to recruit a sample of children with well characterized attention deficit/hyperactivity disorder at the time of their diagnosis. Each participant will be thoroughly assessed at baseline using state of the art clinical and cognitive assessments. Sample collection for bio-banking will also be completed to link with future discovery research. Each participant will then wear an energy-efficient multi-sensor wearable device (such as a fitbit) continuously for several weeks to gather real time data on activity levels, sleep, pulse-rate. These data will be used to define baseline performance across the day. All participants will then be engaged in treatment as usual from their regular clinical service provider. We will continue to measure the continuous data from the wearable device and collect regular treatment data and clinical outcome measures. The aim is to develop novel approaches to measuring outcome through continuous objective measures that allow the optimization of treatment across the day. To achieve this objective we will work with colleagues at the Complex Human /Data Hub who will provide support and guidance on data management and analysis. Analysis will involve a broad range of traditional and modern approaches to analysis such as using a range of approaches such as Baysian and machine learning approaches to determine the most efficient and meaningful way of objectively measure the progression of symptoms across the day to facilitate treatment optimization.



Faculty Research Themes

Child Health

School Research Themes

Child Health in Medicine



Research Opportunities

PhD
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department

Paediatrics

Research Node

Royal Children’s Hospital/Murdoch Childrens Research Institute

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