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Factors driving CT utilisation in tertiary hospitals: a decomposition analysis using linked administrative data in
Ninh Thi Ha1,2, Susannah Maxwell3, Max K Bulsara4,5
1Health Economics & Data Analytics, Curtin School of Population Health, Faculty of Health Sciences, Curtin University - Bentley Campus, Perth, Western Australia, Australia ninh.ha05@gmail.com.
Objectives:
While CT scanning plays a significant role in healthcare, its increasing use has raised concerns about inappropriate use. This study investigated factors driving the changing use of CT among people admitted to tertiary hospitals in Western Australia (WA).
Design And Setting:
A repeated cross-sectional study of CT use in WA in 2003-2005 and 2013-2015 using linked administrative heath data at the individual patient level.
Participants:
A total of 2 375 787 tertiary hospital admissions of people aged 18 years or older.
Main Outcome Measure:
Rate of CT scanning per 1000 hospital admissions.
Methods:
A multivariable decomposition model was used to quantify the contribution of changes in patient characteristics and changes in the probability of having a CT over the study period.
Results:
The rate of CT scanning increased by 112 CT scans per 1000 admissions over the study period. Changes in the distribution of the observed patient characteristics were accounted for 62.7% of the growth in CT use. However, among unplanned admissions, changes in the distribution of patient characteristics only explained 17% of the growth in CT use, the remainder being explained by changes in the probability of having a CT scan. While the relative probability of having a CT scan generally increased over time across most observed characteristics, it reduced in young adults (-2.8%), people living in the rural/remote areas (-0.8%) and people transferred from secondary hospitals (-0.8%).
Conclusions:
Our study highlights potential improvements in practice towards reducing medical radiation exposure in certain high risk population. Since changes in the relative probability of having a CT scan (representing changes in scope) rather than changes in the distribution of the patient characteristics (representing changes in need) explained a major proportion of the growth in CT use, this warrants more in-depth investigations in clinical practices to better inform health policies promoting appropriate use of diagnostic imaging tests.
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