Smoking: Smoking Cessation Cost-Effectiveness Data
In BCEA: Bayesian Cost Effectiveness Analysis

Smoking

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), and b_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.