Evidence map›Paper›PMID 41218937›Full record

ArticleBMJ open2025

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.

Jonathan R Olsen, Natalie Nicholls, Tran Quoc Bao Tran, Jill Pell, Jim Lewsey, Ruth Dundas, Jocelyn Friday, Clea Du Toit, Stefanie Lip, Daniel Mackay and 3 more

Abstract read
In one paragraph

Article in BMJ open, 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

13 authors.

Jonathan R OlsenInstitute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia j.olsen@uq.edu.au.ORCID http://orcid.org/0000-0002-5356-8615
Natalie NichollsSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-0745-7065
Tran Quoc Bao TranSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-6829-6432
Jill PellSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Jim LewseySchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-3811-8165
Ruth DundasSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Jocelyn FridaySchool of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-1658-3883
Clea Du ToitDigital Health Validation Lab, Living Lab, University of Glasgow, Glasgow, UK.
Stefanie LipBHF Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Daniel MackaySchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Alan StevensonSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Richard MitchellSchool of Health & Wellbeing, University of Glasgow, Glasgow, UK.
Sandosh PadmanabhanBHF Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

designRetrospective population-based cohort study.

settingNHS Greater Glasgow and Clyde, Scotland.

participants6599 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).

main outcome measuresAnnual 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.

resultsMean 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

conclusionsCondition-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.

Indexed as

TransportationTransportation of PatientsTravelArthritis, RheumatoidCardiovascular DiseasesChronic DiseaseFemaleHumansMaleMiddle AgedNeoplasmsRetrospective StudiesScotlandState Medicineepidemiologyhealth policyhealth services

Identifiers

PMID41218937
PMCPMC12606482

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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.