Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and psychosocial needs of people with cancer, especially in low-resource settings where there is a dearth of mental health specialists. In this study, we will conduct a feasibility randomised controlled trial (RCT) of the stress management intervention Self-Help Plus, which has been translated and adapted to Vietnamese, vSH+, among people newly diagnosed with breast or gynaecological cancer in Viet Nam.

At six participating hospitals, individuals diagnosed with breast or gynaecologic cancer within the past year will be recruited, consented and randomised into either enhanced usual care (EUC) or EUC plus the vSH+ intervention, which consists of four sessions each lasting approximately 75 min. Quantitative surveys will be administered at three time points: enrolment/baseline (T0), after 6 weeks (T1) and after 4 months (T2). A qualitative evaluation component, which will include in-depth interviews with patients, implementers and healthcare staff and managers, as well as focus group discussions with caregivers, will assess the acceptability and feasibility of the vSH+ intervention.

Ethical reviews for the study were obtained from Boston University, Hanoi University of Public Health (HUPH) and all the participating hospital sites. On completion of data collection and analyses, the research team will prepare and submit abstracts to scientific conferences as well as manuscripts to peer-reviewed journals. We will also conduct dissemination events to report the trial results to relevant stakeholders.

NCT06398067.

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/patient/year to 8.0 kg CO₂/patient/year. Bus travel resulted in intermediate emissions, estimated between 10.5 and 8.0 kg CO₂/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 CO₂/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.