Evidence map›Paper›PMID 35649618›Full record

Observational studyBMJ open2022

Trend in CT utilisation and its impact on length of stay, readmission and hospital mortality in Western Australia tertiary hospitals: an analysis of linked administrative data 2003-2015.

Thi Ninh Ha, Sviatlana Kamarova, David Youens, Cameron Wright, Donald McRobbie, Jenny Doust, John Slavotinek, Max K Bulsara, Rachael Moorin

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Patterns of computed tomography utilisation in injury management: latent classes approach using linked administrative data in Western Australia.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Thi Ninh HaHealth Economics and Data Analytics, School of Population Health, Curtin University, Perth, Western Australia, Australia.
Sviatlana KamarovaHealth Economics and Data Analytics, School of Population Health, Curtin University, Perth, Western Australia, Australia sviatlana.kamarova@curtin.edu.au.ORCID 0000-0002-5271-8482
David YouensHealth Economics and Data Analytics, School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-4296-4161
Cameron WrightHealth Systems and Health Economics, Curtin University School of Public Health, Perth, Western Australia, Australia.
Donald McRobbieThe University of Adelaide School of Physical Sciences, Adelaide, South Australia, Australia.
Jenny DoustCentre for Longitudinal and Life Course Research, The University of Queensland, Herston, Queensland, Australia.
John SlavotinekSA Medical Imaging, SA Health and College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
Max K BulsaraInstitute of Health and Rehabilitation Research, University of Notre Dame, Fremantle, Western Australia, Australia.ORCID 0000-0002-8033-6123
Rachael MoorinHealth Economics and Data Analytics, School of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-8742-7151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHigh use of CT scanning has raised concern due to the potential ionising radiation exposure. This study examined trends of CT during admission to tertiary hospitals and its associations with length of stay (LOS), readmission and mortality.

designRetrospective observational study from 2003 to 2015.

settingWest Australian linked administrative records at individual level.

participants2 375 787 episodes of tertiary hospital admission in adults aged 18+ years.

main outcome measuresLOS, 30-day readmissions and mortality stratified by CT use status (any, multiple (CTs to multiple areas during episode), and repeat (repeated CT to the same area)).

methodsMultivariable regression models were used to calculate adjusted rate of CT use status. The significance of changes since 2003 in the outcomes (LOS, 30-day readmission and mortality) was compared among patients with specific CT imaging status relative to those without.

resultsBetween 2003 and 2015, while the rate of CT increased 3.4% annually, the rate of repeat CTs significantly decreased -1.8% annually and multiple CT showed no change. Compared with 2003 while LOS had a greater decrease in those with any CT, 30-day readmissions had a greater increase among those with any CT, while the probability of mortality remained unchanged between the any CT/no CT groups. A similar result was observed in patients with multiple and repeat CT scanning, except for a significant increase in mortality in the recent years in the repeat CT group.

conclusionThe observed pattern of increase in CT utilisation is likely to be activity-based funding policy-driven based on the discordance between LOS and readmissions. Meanwhile, the repeat CT reduction aligns with a more selective strategy of use based on clinical severity. Future research should incorporate in-hospital and out-of-hospital CT to better understand overall CT trends and potential shifts between settings over time.

Indexed as

Patient ReadmissionTomography, X-Ray ComputedAdultAustraliaHospital MortalityHumansLength of StayTertiary Care CentersWestern Australiaepidemiologyhealth policyquality in health careradiology & imaging

Identifiers

PMID35649618
PMCPMC9161060

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.