Associate Professor Louisa Gordon: firstname.lastname@example.org
- The project can be adapted for PhD study, MPhil or Masters study.
Australia-wide there are currently more than one million cancer survivors. Late effects from treatment often arise in cancer survivors so it is common to have ongoing and protracted care episodes in the health system. A trend of increasing cancer incidence, medical innovations and extended survival places a large and growing burden on healthcare systems. There are limited studies of the long-term health service use and cost of cancer survivorship on a population basis. Economic modelling provides an ideal platform to analyse outcomes of cancer survivors and to predict future health service delivery needs. A dataset is available for interested students that includes all Queenslanders diagnosed with a first primary malignancy from 1997-2015. Data has been linked to capture hospitalisations, Medicare data, deaths and cancer registry records for health service use and healthcare costs for 20 years. The data includes the date of cancer diagnosis, cancer histology, hospital admissions, emergency presentations, healthcare costs, Medicare services and pharmaceuticals. This project would interest data analysts/scientists or health economists. Experience in data analysis is essential in a computer program such as Stata, SAS, or R. Various health economic questions could be explored such as for a specific cancer, a group of cancers (digestive tract, gynaecological) or a particular age groups (adolescent cancers).
Ensure you have familiarised yourself with QIMR Berghofer's student program process.