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Journal article

Carbon footprint modelling of national health systems: opportunities, challenges and recommendations

Abstract:
Health care presents significant contributions towards climate change. An awareness of a health systems carbon footprint provides a quantification of its environmental impact, an understanding of carbon intensive areas to target with reduction measures and a means of mapping trends in emissions over time. Attempts at calculating the carbon footprint of national health systems are few, predominantly of developed nations, and are limited by data availability and methodological inadequacies. There is a need to mobilise countries to understand the role of health care in contributing towards climate change and for them to start engaging in ongoing calculations of their national health system carbon footprints. There is also a need to improve data availability and information systems to allow for such calculations, especially in developing countries where there may be differences in carbon hotspots. Finally, there is a need for continued improvements in the carbon footprint modelling methodology of health systems as data collection and available emission factors, especially of health care specific products and supply chain emissions, improves. Health systems need to join the global fight against climate change.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1002/hpm.3447

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Oxford college:
Green Templeton College
Role:
Author
ORCID:
0000-0003-2319-9246


More from this funder
Funder identifier:
https://ror.org/04v48nr57


Publisher:
Wiley
Journal:
The International Journal of Health Planning and Management More from this journal
Volume:
37
Issue:
4
Pages:
1885-1893
Publication date:
2022-02-24
Acceptance date:
2022-02-07
DOI:
EISSN:
1099-1751
ISSN:
0749-6753


Language:
English
Keywords:
Pubs id:
2129196
Local pid:
pubs:2129196
Deposit date:
2025-06-11
ARK identifier:

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