This module makes the environmental and resource mechanisms around systemic anticancer therapy visible: treatment value, route and administration, treatment attendance, medicines waste, deprescribing and supportive care.
It deliberately does not assign a universal “green” or “red” regimen score. Regimen-level carbon values should only appear when supported by sufficiently robust lifecycle or comparative evidence.
Separating evidence maturity prevents a mechanistic observation from being presented as a precise carbon estimate.
Direct lifecycle or carbon measurement relevant to the treatment or delivery pathway.
Published comparative modelling using defined assumptions, such as dosing interval or travel scenarios.
A plausible resource-reduction mechanism supported by evidence, without a defensible regimen-level CO₂e value.
The sustainability consideration is relevant but no regimen-specific environmental estimate is assigned.
The visual language focuses on where burden arises and where clinically appropriate optimisation may reduce it.
Meaningful clinical benefit remains the first requirement.
Delivery method affects infrastructure, consumables, preparation and chair time.
Repeated journeys and treatment visits are part of the wider care footprint.
Preparation and unused drug are practical stewardship targets.
Environmental benefit is secondary to better medication stewardship.
Broader sustainable care is shown separately from regimen carbon assessment.
When opened from a regimen card, SACTCheck uses available catalogue metadata to highlight relevant mechanisms without inferring an overall footprint.
Open Sustainability from a regimen card to carry the regimen context into this page.
This is the data foundation for future regimen-specific sustainability analysis. Known fields are shown; missing fields remain explicit and are not guessed.
A simple visual hierarchy for sustainable oncology decisions.
Source-linked references supplied for the sustainability workstream. Two citations remain explicitly flagged for bibliographic verification rather than being silently treated as validated evidence.