Table 1.

Key design criteria

Decision problem	What are the incremental costs and consequences and key drivers of the relative cost‐effectiveness of a policy‐based complex intervention to reduce instances of skin cancer?
Intervention	Public health campaign and widespread ban on the provision of sunbeds in commercial settings in England
	A multimedia (including social media, radio and television) public health campaign would highlight the risks of indoor tanning, targeting 18‐year‐olds to inform people about the ban, and promote alternatives to the use of sunbeds
Comparator	The comparator is the current situation; sunbeds can be provided for use by businesses in England
Population	Potential users of commercial sunbeds who were aged 18 years living in England
Model type	Cohort‐based decision tree linked to a state‐transition Markov model (‘Markov model’)
Software	Excel 2016
Time horizon	Lifetime (to a maximum of 100 years): to reflect the long‐term consequences of using sunbeds and impact on morbidity and mortality from cutaneous melanoma and/or keratinocyte cancer
Cycle length (total number of cycles)	1 year: (83 total cycles), half‐cycle corrections used
Discounting	3.5% for both costs and consequences to be consistent with published NICE recommendationsa
Study perspective	National Health Service (NHS) in England
Costs	National currency (£) at 2019 pricesb
Consequences	Quality‐adjusted life‐years (QALYs)
Uncertainty	Deterministic: one‐way sensitivity analysis; two‐way sensitivity analysis; scenario analyses
	Probabilistic sensitivity analysis
Cost‐effectiveness threshold	NICE recommended thresholda of £20 000 to £30 000 per QALY gained

NICE, National Institute for Health and Care Excellence. ^aMethods guide for technology appraisal. ^bUnit costs were inflated to 2019 prices where appropriate, using linear regression based on previous NHS cost increases (https://nhsprocurement.org.uk/health‐sector‐cost‐index‐update).