The carbon footprint of hospital diagnostic imaging in Australia.
Aging
Carbon footprint
Comorbidities
Diagnostic imaging
Life cycle assessment
Net-zero carbon
Journal
The Lancet regional health. Western Pacific
ISSN: 2666-6065
Titre abrégé: Lancet Reg Health West Pac
Pays: England
ID NLM: 101774968
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
entrez:
11
5
2022
pubmed:
12
5
2022
medline:
12
5
2022
Statut:
epublish
Résumé
Pathology testing and diagnostic imaging together contribute 9% of healthcare's carbon footprint. Whilst the carbon footprint of pathology testing has been undertaken, to date, the carbon footprint of the four most common imaging modalities is unclear. We performed a prospective life cycle assessment at two Australian university-affiliated health services of five imaging modalities: chest X-ray (CXR), mobile chest X-ray (MCXR), computerised tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US). We included scanner electricity use and all consumables and associated waste, including bedding, imaging contrast, and gloves. Analysis was performed using both attributional and consequential life cycle assessment methods. The primary outcome was the greenhouse gas footprint, measured in carbon dioxide equivalent (CO Mean CO Clinicians and administrators can reduce carbon emissions from diagnostic imaging, firstly by reducing the ordering of unnecessary imaging, or by ordering low-impact imaging (X-ray and US) in place of high-impact MRI and CT when clinically appropriate to do so. Secondly, whenever possible, scanners should be turned off to reduce emissions from standby power. Thirdly, ensuring high utilisation rates for scanners both reduces the time they spend in standby, and apportions the impacts of the reduced standby power of a greater number of scans. This therefore reduces the impact on any individual scan, maximising resource efficiency. Healthy Urban Environments (HUE) Collaboratory of the Maridulu Budyari Gumal Sydney Partnership for Health, Education, Research and Enterprise MBG SPHERE. The National Health and Medical Research Council (NHMRC) PhD scholarship.
Sections du résumé
Background
UNASSIGNED
Pathology testing and diagnostic imaging together contribute 9% of healthcare's carbon footprint. Whilst the carbon footprint of pathology testing has been undertaken, to date, the carbon footprint of the four most common imaging modalities is unclear.
Methods
UNASSIGNED
We performed a prospective life cycle assessment at two Australian university-affiliated health services of five imaging modalities: chest X-ray (CXR), mobile chest X-ray (MCXR), computerised tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US). We included scanner electricity use and all consumables and associated waste, including bedding, imaging contrast, and gloves. Analysis was performed using both attributional and consequential life cycle assessment methods. The primary outcome was the greenhouse gas footprint, measured in carbon dioxide equivalent (CO
Findings
UNASSIGNED
Mean CO
Interpretation
UNASSIGNED
Clinicians and administrators can reduce carbon emissions from diagnostic imaging, firstly by reducing the ordering of unnecessary imaging, or by ordering low-impact imaging (X-ray and US) in place of high-impact MRI and CT when clinically appropriate to do so. Secondly, whenever possible, scanners should be turned off to reduce emissions from standby power. Thirdly, ensuring high utilisation rates for scanners both reduces the time they spend in standby, and apportions the impacts of the reduced standby power of a greater number of scans. This therefore reduces the impact on any individual scan, maximising resource efficiency.
Funding
UNASSIGNED
Healthy Urban Environments (HUE) Collaboratory of the Maridulu Budyari Gumal Sydney Partnership for Health, Education, Research and Enterprise MBG SPHERE. The National Health and Medical Research Council (NHMRC) PhD scholarship.
Identifiants
pubmed: 35538935
doi: 10.1016/j.lanwpc.2022.100459
pii: S2666-6065(22)00074-8
pmc: PMC9079346
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100459Informations de copyright
© 2022 The Author(s).
Déclaration de conflit d'intérêts
Scott McAlister was funded by a National Health and Medical Research Council of Australia (NHMRC) PhD scholarship, and from the Healthy Urban Environments (HUE) Collaboratory of the Maridulu Budyari Gumal Sydney Partnership for Health, Education, Research and Enterprise MBG SPHERE. Alexandra Barrett is funded by a National Health and Medical Research Council of Australia (NHMRC) Centre of Research Excellence Grant, No 1004136. Kate Charlesworth was funded from the Healthy Urban Environments (HUE) Collaboratory of the Maridulu Budyari Gumal Sydney Partnership for Health, Education, Research and Enterprise MBG SPHERE.
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