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This study aimed to demonstrate how population level data can be used to identify variations in care between patient groups, by analysing system\u2010level changes in CT use around the diagnosis of new conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Retrospective repeated cross\u2010sectional observational study using West Australian linked administrative records, including 504,723 adults diagnosed with different conditions in 2006, 2012 and 2015. For 90\u2009days 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>CT 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\u2009mSv, +23.1%, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) and circulatory conditions (+2.1\u2009mSv, +15.4%, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001). 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Use 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\u2010level approach we flag areas requiring deeper investigation into appropriateness and value of care.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmrs.811","type":"journal-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T01:44:51Z","timestamp":1720575891000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["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?"],"prefix":"10.1002","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5271-8482","authenticated-orcid":false,"given":"Sviatlana","family":"Kamarova","sequence":"first","affiliation":[{"name":"Health Economics and Data Analytics, Curtin School of Population Health, Faculty of Health Sciences Curtin University  Bentley Western Australia Australia"},{"name":"Sydney School of Health 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