Demonstrating the use of population level data to investigate trends in the rate, radiation dose and cost of Computed Tomography across clinical groups: Are there any areas of concern?

Author:

Kamarova Sviatlana123ORCID,Youens David14ORCID,Ha Ninh T.1,Bulsara Max56,Doust Jenny7,Fox Richard8,Kritz Marlene1,McRobbie Donald9,O'Leary Peter11011,Parizel Paul M.1213,Slavotinek John14,Wright Cameron181516,Moorin Rachael16

Affiliation:

1. Health Economics and Data Analytics, Curtin School of Population Health, Faculty of Health Sciences Curtin University Bentley Western Australia Australia

2. Sydney School of Health Sciences The University of Sydney Sydney New South Wales Australia

3. Nepean Blue Mountains Local Health District, New South Wales Health Kingswood New South Wales Australia

4. Cardiovascular Epidemiology Research Centre, School of Population and Global Health The University of Western Australia Perth Western Australia Australia

5. Institute for Health Research University of Notre Dame Notre Dame Western Australia Australia

6. School of Population and Global Health The University of Western Australia Perth Western Australia Australia

7. Australian Women and Girls' Health Research (AWaGHR) Centre, School of Public Health, Faculty of Medicine University of Queensland Brisbane Queensland Australia

8. Division of Internal Medicine, Medical School, Faculty of Health and Medical Sciences The University of Western Australia Perth Western Australia Australia

9. School of Physical Sciences University of Adelaide Adelaide South Australia Australia

10. Obstetrics and Gynaecology Medical School, Faculty of Health and Medical Sciences The University of Western Australia Perth Western Australia Australia

11. PathWest Laboratory Medicine QE2 Medical Centre Nedlands Western Australia Australia

12. Medical School University of Western Australia Perth Western Australia Australia

13. Department of Radiology Royal Perth Hospital Perth Western Australia Australia

14. SA Medical Imaging, SA Health and College of Medicine and Public Health Flinders University Adelaide South Australia Australia

15. Fiona Stanley Hospital Murdoch Western Australia Australia

16. School of Medicine, College of Health and Medicine University of Tasmania Hobart Tasmania Australia

Abstract

AbstractIntroductionIncreases in computed tomography (CT) use may not always reflect clinical need or improve outcomes. This study aimed to demonstrate how population level data can be used to identify variations in care between patient groups, by analysing system‐level changes in CT use around the diagnosis of new conditions.MethodsRetrospective repeated cross‐sectional observational study using West Australian linked administrative records, including 504,723 adults diagnosed with different conditions in 2006, 2012 and 2015. For 90 days pre/post diagnosis, CT use (any and 2+ scans), effective dose (mSv), lifetime attributable risk (LAR) of cancer incidence and mortality from CT, and costs were assessed.ResultsCT use increased from 209.4 per 1000 new diagnoses in 2006 to 258.0 in 2015; increases were observed for all conditions except neoplasms. Healthcare system costs increased for all conditions but neoplasms and mental disorders. Effective dose increased substantially for respiratory (+2.5 mSv, +23.1%, P < 0.001) and circulatory conditions (+2.1 mSv, +15.4%, P < 0.001). The LAR of cancer incidence and mortality from CT increased for endocrine (incidence +23.4%, mortality +18.0%) and respiratory disorders (+21.7%, +23.3%). Mortality LAR increased for circulatory (+12.1%) and nervous system (+11.0%) disorders. The LAR of cancer incidence and mortality reduced for musculoskeletal system disorders, despite an increase in repeated CT in this group.ConclusionsUse and costs increased for most conditions except neoplasms and mental and behavioural disorders. More strategic CT use may have occurred in musculoskeletal conditions, while use and radiation burden increased for respiratory, circulatory and nervous system conditions. Using this high‐level approach we flag areas requiring deeper investigation into appropriateness and value of care.

Funder

National Health and Medical Research Council

Publisher

Wiley

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