Patient wait times for specialist input are increasing beyond what is recommended and clinically safe in the public health system. There is a lack of published longitudinal data on the extent to which patient wait time is impacted by various metrics. These include but are not limited to; speciality, rurality, and other demographic factors. This project will analyse QH data to identify a reliable control dataset which will help address wait times by providing a valuable comparator for future interventions. This study will further investigate the impact of delayed patient wait time on emergency department usage, cost, and preventable hospital admissions.
For more information, please contact the Graduate Research School.