The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy

Background Smoking in pregnancy is a major cause of morbidity and mortality [1-3], with a significant cost burden to the NHS. [4] An estimated 26% of women still report smoking at the beginning of or just before pregnancy, with 12% reporting smoking throughout. [5]While economic evaluations of ce...

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Main Author: Jones, Matthew John
Format: Thesis (University of Nottingham only)
Language:English
Published: 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/30604/
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author Jones, Matthew John
author_facet Jones, Matthew John
author_sort Jones, Matthew John
building Nottingham Research Data Repository
collection Online Access
description Background Smoking in pregnancy is a major cause of morbidity and mortality [1-3], with a significant cost burden to the NHS. [4] An estimated 26% of women still report smoking at the beginning of or just before pregnancy, with 12% reporting smoking throughout. [5]While economic evaluations of cessation interventions in the non-pregnant population are well developed, similar evaluations of within-pregnancy interventions are not. [6] Because of the special circumstances associated with pregnancy, general smoking evaluations cannot be applied in these settings. [4, 5] This thesis outlines the development of an improved economic model designed to capture the healthcare costs and benefits associated with smoking and cessation within pregnancy. Methods A series of scoping reviews of the electronic resource Medline were conducted to identify either within-pregnancy or childhood morbidities which had potentially causal associations with smoking during or after pregnancy, as well as the incidences of morbidities and health related quality of life (HRQoL) scores attributable to those identified. A systematic review appraised the previous economic literature on cessation during pregnancy, to determine where improvements were needed. To ensure that relapse to smoking could be accounted for, a second systematic review generated pooled estimates of abstinence from smoking in the postpartum period. This information was used to develop and construct the improved economic model. Results 11 conditions were identified as having a causal association with smoking during pregnancy. The systematic review of previous evaluations identified 17 studies; however, only three were considered high quality, suggesting the need for an improved model. The pooled estimates of abstinence suggested that by two years postpartum, most women had restarted smoking, with most relapsing after three, but before 12, months postpartum. The Economic impacts of Smoking In Pregnancy (ESIP) model consists of two linked decision trees which capture the within-pregnancy aspects, while two linked Markov chains capture the post-pregnancy smoking behaviour for both the mother and her child. ESIP was also extended to control for uncertainty. Conclusion ESIP improves on the previous literature since it directly captures the impact of the mother’s smoking behaviour on the health of her offspring, both within-pregnancy and childhood, using the most accurate data currently available. Future extensions to ESIP include an adult component for the infant to capture their smoking behaviour.
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spelling nottingham-306042025-02-28T11:37:06Z https://eprints.nottingham.ac.uk/30604/ The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy Jones, Matthew John Background Smoking in pregnancy is a major cause of morbidity and mortality [1-3], with a significant cost burden to the NHS. [4] An estimated 26% of women still report smoking at the beginning of or just before pregnancy, with 12% reporting smoking throughout. [5]While economic evaluations of cessation interventions in the non-pregnant population are well developed, similar evaluations of within-pregnancy interventions are not. [6] Because of the special circumstances associated with pregnancy, general smoking evaluations cannot be applied in these settings. [4, 5] This thesis outlines the development of an improved economic model designed to capture the healthcare costs and benefits associated with smoking and cessation within pregnancy. Methods A series of scoping reviews of the electronic resource Medline were conducted to identify either within-pregnancy or childhood morbidities which had potentially causal associations with smoking during or after pregnancy, as well as the incidences of morbidities and health related quality of life (HRQoL) scores attributable to those identified. A systematic review appraised the previous economic literature on cessation during pregnancy, to determine where improvements were needed. To ensure that relapse to smoking could be accounted for, a second systematic review generated pooled estimates of abstinence from smoking in the postpartum period. This information was used to develop and construct the improved economic model. Results 11 conditions were identified as having a causal association with smoking during pregnancy. The systematic review of previous evaluations identified 17 studies; however, only three were considered high quality, suggesting the need for an improved model. The pooled estimates of abstinence suggested that by two years postpartum, most women had restarted smoking, with most relapsing after three, but before 12, months postpartum. The Economic impacts of Smoking In Pregnancy (ESIP) model consists of two linked decision trees which capture the within-pregnancy aspects, while two linked Markov chains capture the post-pregnancy smoking behaviour for both the mother and her child. ESIP was also extended to control for uncertainty. Conclusion ESIP improves on the previous literature since it directly captures the impact of the mother’s smoking behaviour on the health of her offspring, both within-pregnancy and childhood, using the most accurate data currently available. Future extensions to ESIP include an adult component for the infant to capture their smoking behaviour. 2015-12-09 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/30604/1/Thesis_MJJ_November_2015.pdf Jones, Matthew John (2015) The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy. PhD thesis, University of Nottingham. Smoking Pregnancy Health economics Economic evaluation Decision analytic modelling
spellingShingle Smoking
Pregnancy
Health economics
Economic evaluation
Decision analytic modelling
Jones, Matthew John
The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title_full The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title_fullStr The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title_full_unstemmed The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title_short The development of the Economic impacts of Smoking In Pregnancy (ESIP) model for measuring the impacts of smoking and smoking cessation during pregnancy
title_sort development of the economic impacts of smoking in pregnancy (esip) model for measuring the impacts of smoking and smoking cessation during pregnancy
topic Smoking
Pregnancy
Health economics
Economic evaluation
Decision analytic modelling
url https://eprints.nottingham.ac.uk/30604/