Smoking {BCEA} | R Documentation |
Smoking Cessation Cost-Effectiveness Data
Description
This data set contains the results of a Bayesian analysis modeling the clinical outputs and costs for an economic evaluation of four different smoking cessation interventions.
Format
A list containing the variables for the cost-effectiveness analysis:
- cost
A matrix of 500 simulations from the posterior distribution of the overall costs for the four strategies.
- data
A dataset with characteristics of smokers in the UK population.
- eff
A matrix of 500 simulations from the posterior distribution of the clinical benefits for the four strategies.
- life.years
A matrix of 500 simulations from the posterior distribution of the life years gained with each strategy.
- pi_post
A matrix of 500 simulations from the posterior distribution of the probability of smoking cessation with each strategy.
- smoking
A data frame with inputs for the network meta-analysis, containing:
nobs
(record ID),s
(study ID),i
(intervention ID),r_i
(number of patients who quit),n_i
(total patients in arm), andb_i
(reference intervention for the study).- smoking_output
A matrix of results from the network meta-analysis model run on the
smoking
object.- treats
A character vector of labels for the four strategies.
Source
Effectiveness data adapted from Hasselblad V. (1998). "Meta-analysis of Multitreatment Studies". Medical Decision Making, 18:37-43.
Cost and population data adapted from various sources:
Taylor, D.H. Jr, et al. (2002). "Benefits of smoking cessation on longevity". American Journal of Public Health, 92(6).
Action on Smoking and Health (ASH) (2013). "ASH fact sheet on smoking statistics". https://ash.org/wp-content/uploads/2014/05/ASH-Annual-Report-2014.pdf.
Flack, S., et al. (2007). "Cost-effectiveness of interventions for smoking cessation". York Health Economics Consortium.
McGhan, W.F.D., and Smith, M. (1996). "Pharmacoeconomic analysis of smoking-cessation interventions". American Journal of Health-System Pharmacy, 53:45-52.
References
Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman & Hall, London.