Evidence map›Paper›PMID 40975894›Full record

ArticleJournal of medical radiation sciences2025

Switch It Off! Carbon, Financial and Health Service Impacts of Switching Off a Computed Tomography Scanner: A Quality Improvement Study.

Nicholas Marks, Mya Abigail Acosta, Kristen Pickles, Scott McAlister, Katy J L Bell, NSW Health Net Zero Clinical Leads Program

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nicholas MarksNSW Health Net Zero Clinical Lead, Climate Risk and Net Zero Unit, Ministry of Health, St Leonards, New South Wales, Australia.ORCID https://orcid.org/0009-0006-5495-7803
Mya Abigail AcostaWiser Healthcare Research Collaboration, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Kristen PicklesWiser Healthcare Research Collaboration, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1621-3217
Scott McAlisterWiser Healthcare Research Collaboration, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Katy J L BellWiser Healthcare Research Collaboration, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0137-3218
NSW Health Net Zero Clinical Leads Program

Funding

National Health and Medical Research Council 1174523NSW Health
6 · The paper itself

Abstract

introductionMedical imaging has been identified as a carbon hotspot in health care, and demand for imaging services is increasing. This study investigated switching off a surplus computerised tomography (CT) scanner when not clinically required as a possible simple and scalable intervention to reduce healthcare emissions.

methodsThis before-after quality improvement study introduced a 'Switch it off' intervention where radiography staff switched off the power to a surplus CT scanner after hours (17:00-08:00) for 7 days ('intervention period': 07/7/2023-13/07/2023). Using a power data logger, power consumption (kilowatt hours, KWh) during the intervention period was compared to 7 days without the switch-off practice ('control period': 24/07/2023-31/07/2023). Financial and carbon emission impacts were calculated based on energy consumption. All CT radiographers working in the department were invited to undertake a pre and post intervention survey. Differences in quantitative data pre- and postintervention were analysed using chi-squared test for independent proportions. Free text survey responses were summarised into themes.

resultsCompared with energy use in the control period (433.96 kWh), there was a reduction in 139.79 kWh during the intervention period (294.17 kWh): 32% relative reduction. Extrapolation to 12 months found potential savings of 7280 kWh in energy use, $1381 to the hospital budget, and 5.5 T CO

conclusionIdentifying and switching off surplus CT scanners in low use times is a simple and scalable intervention that can achieve significant power, financial and carbon savings with little to no impact on clinical workflow.

Indexed as

CarbonHealth ServicesQuality ImprovementTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedHumansCarboncarbon footprintcomputerised tomographydiagnostic imaginggreenhouse gas emissionsnet zeropower consumptionradiography

Identifiers

PMID40975894
PMCPMC12661081

What OpenQuestion holds

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LicenceCC BY
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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.