Transition towards healthcare 'net zero': modelling condition-specific patient travel carbon emission estimations by transport mode in a retrospective population-based cohort study, Greater Glasgow, UK.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 41218937.
- Also identified by DOI 10.1136/bmjopen-2025-107016 and PMC identifier 12606482.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
To estimate condition-specific patient travel distances and associated carbon emissions across common chronic diseases in routine National Health Service (NHS) care, and to assess the potential carbon savings of modal shifts in transportation. Retrospective population-based cohort study. NHS Greater Glasgow and Clyde, Scotland. 6599 patients aged 50-55 years at diagnosis, including cardiovascular disease (n=1711), epilepsy (n=1044), cancer (n=716), rheumatoid arthritis (RA; n=172) and a matched control group based on age, sex and area-level deprivation (n=2956). Annual home-to-clinic distances and associated carbon emissions modelled under four transport modes (petrol car, electric car, bus, train) across five time points: 2-year prediagnosis, diagnosis year and 2-year postdiagnosis. Mean annual travel distances to hospital varied by condition and peaked at diagnosis. Patients with cancer had the highest travel distances (161 km/patient/year for men; 139 km/patient/year for women), followed by RA (approximately 78 km/patient/year). The matched control group travelled <2 km/patient/year on average. Assuming 100% petrol car use, estimated condition-specific emissions ranged from 16.5 kg CO<sub>2</sub>/patient/year to 8.0 kg CO<sub>2</sub>/patient/year. Bus travel resulted in intermediate emissions, estimated between 10.5 and 8.0 kg CO<sub>2</sub>/patient. When travel was modelled using electric vehicles, emissions dropped between 3.5 and 2.7 kg for all conditions. Train travel produced similarly low emissions. Reducing petrol car travel from 100% to 60% lowered emissions up to 6.6 kg CO<sub>2</sub>/patient. Condition-specific estimates of healthcare-related travel emissions provide baseline understanding of the opportunities and challenges for decarbonising healthcare. Emission reduction is most achievable through modal shift, yet such shifts depend on factors beyond NHS control-such as transport infrastructure, digital access and social equity. Multisectoral strategies, including targeted telemedicine and integrated transport and urban planning, are critical to achieving net-zero healthcare while maintaining equitable access to care.
Medical subject headings
- Travel
- Transportation
- Transportation of Patients