Abstract

Background/Aims: Previous evaluations of smoking cessation interventions in pregnancy have several limitations. Our solution to these limitations is the Economics of Smoking in Pregnancy (ESIP) model which estimates the lifetime cost-effectiveness of smoking cessation interventions in pregnancy from a National Health Service (NHS) and personal social services perspective. We aim to (1) describe how ESIP has been constructed, and (2) illustrate its use with trial data.

Methods: ESIP links mothers’ and offspring pregnancy outcomes to estimate the burdens of smoking-related disease they experience with different rates of smoking in pregnancy, both in pregnancy and across their lifetimes. Smoking rates are inputted by model users. ESIP then estimates the costs of treating disease burdens and also mothers’ and offspring life years and quality-adjusted life years (QALYs). By comparing costs incurred and healthy life following different smoking rates, ESIP estimates incremental cost-effectiveness and benefit-cost ratios for mothers or offspring or both combined. We illustrate ESIP use by using data from a pragmatic randomised controlled trial that tested a smoking cessation intervention in pregnancy.

Results: Across women’s and offspring lifetimes, the intervention proved cheaper than usual care, having a negative incremental cost of £38.37 (interquartile range £21.46-£56.96) and it improved health, demonstrating a 0.04 increase in incremental QALYs for mothers and offspring, implying it is ‘dominant’ over usual care. Benefit-cost ratios suggested that every £1 spent would generate a median of £14 (interquartile range £8-£20) in healthcare savings.

Conclusions: Economics of Smoking in Pregnancy (ESIP) is the first economic model to link mothers’ and infants’ costs and benefits whilst reporting cost-effectiveness in readily-comparable units. Using ESIP with data from a trial which reported only short-term economic analysis showed that the intervention was very likely to be cost-effective in the longer-term and to generate healthcare savings.